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Killexams : IBM Administrator pdf - BingNews https://killexams.com/pass4sure/exam-detail/000-546 Search results Killexams : IBM Administrator pdf - BingNews https://killexams.com/pass4sure/exam-detail/000-546 https://killexams.com/exam_list/IBM Killexams : What is Cyber Security and Why is it Important?

A student exploring what cyber security is, holding a tablet and standing in front of large machines at his internship.

In recent years, headlines about cyber security have become increasingly common. Thieves steal customer social security numbers from corporations’ computer systems. Unscrupulous hackers grab passwords and personal information from social media sites or pluck company secrets from the cloud. For companies of all sizes, keeping information safe is a growing concern.

What Is Cyber Security?

Cyber security consists of all the technologies and practices that keep computer systems and electronic data safe. And, in a world where more and more of our business and social lives are online, it’s an enormous and growing field with many types of job roles.

According to the Cyber Security & Infrastructure Security Agency (CISA), "Cyber security is the art of protecting networks, devices and data from unauthorized access or criminal use and the practice of ensuring confidentiality, integrity and availability of information."

What Is Information Security?

Information security is the processes and tools designed and used to protect sensitive business information from modification, disruption, destruction and inspection, according to CISCO.

Information security and cyber security are often confused. According to CISCO, information security is a crucial part of cyber security but is used exclusively to ensure data security.

Everything is connected by computers and the internet now, including communication, entertainment, transportation, shopping, medicine and more. A copious amount of personal information is stored among these various services and apps, which is why information security is critical.

Why Is Cyber Security Increasingly Important?

Getting hacked isn’t just a direct threat to the confidential data companies need. It can also ruin their relationships with customers and even place them in significant legal jeopardy. With new technology, from self-driving cars to internet-enabled home security systems, the dangers of cybercrime become even more serious.

So, it’s no wonder that international research and advisory firm Gartner Inc. predicts worldwide security spending will hit $170 billion in 2022, an 8% increase in just a year.

Jonathan Kamyck with text Jonathan Kamyck“We’re seeing a tremendous demand for cyber security practitioners,” said Jonathan Kamyck, associate dean of cyber security at Southern New Hampshire University (SNHU). “Most businesses, whether they’re large or small, will have an online presence, for example. Some of the things you would do in the old days with a phone call or face-to-face now happen through email or teleconference, and that introduces lots of complicated questions with regard to information.”

These days, the need to protect confidential information is a pressing concern at the highest levels of government and industry. State secrets can be stolen from the other side of the world. Companies whose whole business models depend on control of customer data can find their databases compromised. In just one high-profile 2017 case, personal information for 147.9 million people – about half the United States – was compromised in a breach of credit reporting company Equifax.

What Are Cyber Attacks?

Infographic with the text Common Cyber Attack Threats: Malware, Phising, Ransomware, VirusesA cyber attack is an unwelcomed attempt to steal, expose, alter, disable or destroy information through unauthorized access to computer systems, according to the International Business Machines (IBM).

There are many reasons behind a cyber attack, such as cyber warfare, cyber terrorism and even hacktivists, but these actions fall into three main categories: criminal, political and personal.

Attackers motivated by crime typically seek financial gain through money theft, data theft or business disruption. Similarly, personal attackers include disgruntled current or former employees who will take money or data in an attempt to attack a company's systems.  Socio-political motivated attackers desire attention for their cause, resulting in their attacks being known to the public, and this is a form of hacktivism. Other forms of cyber attacks include espionage, or spying to gain an unfair advantage over the competition, and intellectual challenging.

According to CISA, as of 2021, there is a ransomware attack every 11 seconds – a dramatic rise from every 39 seconds in 2019 (CISA PDF Source). In addition, small businesses are the target of nearly 43% of all cyber attacks, which is up 400%.

The Small Business Association (SBA) reports that small businesses make attractive targets and are typically attacked due to their lack of security infrastructure. The SBA also reports that a majority of small business owners felt their business was vulnerable to an attack. This is because many of these businesses:

  • Can't afford professional IT solutions
  • Have limited time to devote to cyber security
  • Don't know where to begin

What Are Types of Cyber Attacks and Threats?

Here are some of the most common threats among cyber attacks:

  • Malware: Malware, also known as malicious software, is intrusive software developed by cyber criminals to steal data or to damage and destroy computers and computer systems, according to CISCO. Malware has the capability of exfiltrating massive amounts of data. Examples of common malware are viruses, worms, trojan viruses, spyware, adware and ransomware.
  • Phishing: Phishing attacks are the practice of sending fraudulent communications while appearing to be a reputable source, according to CISCO. This is typically performed via email or on the phone. The goal is to steal sensitive information such as financial or login information – or to install malware onto a target's device.
  • Ransomware: Ransomware is a form of malware designed to encrypt files on a target device, rendering those files and the systems they rely on unusable, according to the CISA. Once the system has been encrypted, actors demand ransom in exchange for decryption.
  • Viruses: A virus is a harmful program intended to spread from computer to computer, as well as other connected devices, according to the SBA. The object of a virus is to deliver the attacker access to the infected systems. Many viruses pretend to be legitimate applications but then cause damage to the systems, steal data, interrupt services or get additional malware, according to Proofpoint.

Who Is Behind Cyber Attacks?

Attacks against enterprises can come from a variety of sources such as criminal organizations, state actors and private persons, according to IBM. An easy way to classify these attacks is by outsider versus insider threats.

Outsider or external threats include organized criminals, professional hackers and amateur hackers (like hacktivists).

Insider threats are typically those who have authorized access to a company's assets and abuse them deliberately or accidentally. These threats include employees who are careless of security procedures, disgruntled current or former employees and business partners or clients with system access.

Developing Cyber Awareness

Infographic with the text Good Security Measures: Downloading the latest patches and software updates, Ensuring data is secure, Make sure employees use strong passwordsCyber security awareness month takes place every October and encourages individuals and organizations to own their role in protecting their cyberspace, according to Forbes, although anyone can practice being mindful of cyber security at any time. Awareness of the dangers of browsing the web, checking emails and interacting online in general are all part of developing cyber security awareness.

Cyber security awareness can mean different things to different people depending on their technical knowledge. Ensuring appropriate training is available to individuals is a great way to motivate lasting behavioral changes.

While cyber security awareness is the first step, employees and individuals must embrace and proactively use effective practices both professionally and personally for it to truly be effective, according to Forbes.

Getting started with cyber security awareness is easy, and many resources are readily available on the CISA government website based on your needs. Whether you need formal training or a monthly email with cyber security tips and tricks, any awareness and training can impact behavior and create a positive change in how you view cyber security.

What Are the Types of Cyber Security?

Here are the most common types of cyber security available:

  • Application Security: Application security describes security used by applications to prevent data or code within the app from being stolen or hijacked. These security systems are implemented during application development but are designed to protect the application after deployment, according to VMWare.
  • Cloud Security: Cloud security involves the technology and procedures that secure cloud computing environments against internal and external threats. These security systems are designed to prevent unauthorized access and keep data and applications in the cloud secure from cyber security threats, according to McAfee.
  • Infrastructure Security: Critical infrastructure security describes the physical and cyber systems that are so vital to society that their incapacity would have a debilitating impact on our physical, economic or public health and safety, according to CISA.
  • Internet of Things (IoT) Security: IoT is the concept of connecting any device to the Internet and other connected devices. The IoT is a network of connected things and people, all of which share data about the way they are used and their environments, according to IBM. These devices include appliances, sensors, televisions, routers, printers and countless other home network devices. Securing these devices is important, and according to a study by Bloomberg, security is one of the biggest barriers to widespread IoT adaption.
  • Network Security: Network security is the protection of network infrastructure from unauthorized access, abuse or theft. These security systems involve creating a secure infrastructure for devices, applications and users to work together, according to CISCO.

Do You Need a Degree To Be a Cyber Security Professional?

A cyber security degree provides an opportunity for students to develop skills and a mindset that empowers them to begin a career in securing systems, protecting information assets and managing organizational risks.

Alex Pettito with the text Alex PettitoAlex Petitto ’21 earned his bachelor’s in cyber security. Petitto always wanted to work within the IT sector, and he chose cyber security because it’s an exponentially growing field. He transferred credits from a community college through a U.S. Air Force program and finished his bachelor's in under two years. "It was much quicker than I thought it would be,” he said.

It didn't take long for Petitto to begin exploring his career options. "Even before finishing (my) degree, I … received multiple invites to interview for entry-level positions within the industry and received three job offers," said Petitto. He decided to remain within the Air Force and transfer to a cyber security unit as opposed to joining the private sector.

Petitto said his cyber security degree opened doors for him in the field – “a monumental goal for me," he said. "This degree was a critical first step for breaking into the industry."

Your cyber security degree program can also connect you with experiential learning opportunities to further your growth as a cyber security professional. For example, the annual National Cyber League (NCL) has a competition wherein students from across the U.S. practice real-world cyber security tasks and skills. SNHU recently placed 9th out of over 500 colleges participating in the NCL competition.

Career Opportunity and Salary Potential in Cyber Security

As companies large and small scramble to respond to the growing threats, jobs in the cyber security field are growing fast. The U.S. Bureau of Labor Statistics (BLS) predicts that employment for information security analysts will grow by 33% through 2030. That’s more than twice as fast as the average computer-related occupation and four times as fast as American jobs in general.

To help fill the need for more professionals in the cyber security world, CyberSeek, a project funded by the federal government and supported by industry partners, provides detailed information on the demand for these workers by state. The tool shows that, across the country, there were 180,000 job openings for information security analysts between May 2021 and April 2022, with only 141,000 professionals holding jobs in the role, reflecting an unfilled demand of 39,000 workers.

“There’s a huge shortfall right now in entry-level and midlevel cyber security roles,” Kamyck said. “You’re looking at demand across all business sectors, with companies of all sizes.

CyberSeek lists the following entry-mid-and advanced-level roles available in the field. Average salaries are based on job openings posted between May 2021 and April 2022.

Entry-level Cyber Security Roles

  • Cyber Crime Analyst: Cyber crime analysts make an average salary of $100,000, and common skills necessary for the role include computer forensics, information security and malware engineering.
  • Cyber Security Specialist: Cyber security specialists make an average salary of $104,482, and important skills for the role include information security, network security and information assurance.
  • Incident and Intrusion Analyst: Incident analysts make an average salary of $88,226, and common skills needed include project management, network security and intrusion detection.
  • IT Auditor: Information technology auditors make an average salary of $110,000, and common skills for the role include internal auditing and audit planning, accounting and risk assessment.

Mid-level Cyber Security Roles

  • Cyber Security Analyst: Cybersecurity analysts make an average of $107,500, and the top skills required include information security and systems, network security and threat analysis.
  • Cyber Security Consultant: Consultants in cyber security make an average salary of $92,504 and need skills in information security and surveillance, asset protection and security operations.
  • Penetration and Vulnerability Tester: Penetration testers make an average salary of $101,091 and need skills in penetration testing, Java, vulnerability assessment and software development.

Advanced-level Cyber Security Roles

  • Cyber Security Architect: Cyber security architects make an average salary of $159,752, and top skills for the role include software development, network and information security and authentication.
  • Cyber Security Engineer: Cyber security engineers make an average of $117,510 a year and need cryptography, authentication and network security skills.
  • Cyber Security Manager:  Managers in this field earn an average salary of $130,000, and top skills include project management, network security and risk management.

What Does a Cyber Security Professional Do?

Infographic with the text Types of Cyber Security: Application security, cloud security, infastructure security, internet of things (IOT) security, network securityKamyck said cyber security professionals could play a wide range of roles in a modern company. For example, some small businesses may hire a single person to handle all kinds of work protecting data. Others contract with consultants who can offer a variety of targeted services. Meanwhile, larger firms may have whole departments dedicated to protecting information and chasing down threats.

While companies define roles related to information security in a variety of ways, Kamyck said there are some specific tasks that these employees are commonly called on to do. In many cases, they must analyze threats and gather information from a company’s servers, cloud services and employee computers and mobile devices.

“An analyst’s job is to find meaning in all of that data, see what’s concerning,” he said. “Is there a breach? Is someone violating a policy?”

In many cases, Kamyck said, security specialists work with other information technology professionals to ensure a company’s systems are secure. That involves not just technical know-how but also people-oriented skills.

But breaches don’t just take the form of someone hacking into a server. They can also involve customer lists sent through unencrypted email, a password written on a sticky note in a cubicle or a company laptop stolen from an employee’s car.

Depending on their specific role, cyber security professionals must also think strategically. In many industries, companies rely on employees having quick access to highly sensitive data, such as medical records or bank account information.

“The goal is to balance the needs of the company or the organization you’re working for with the need to protect the confidentiality of customer data and trade secrets,” Kamyck said.

Kamyck said people who do well in these jobs tend to be curious, competitive and willing to keep learning to stay up to date with rapidly changing technology. The work draws on multidisciplinary knowledge, and people who continue with the work find there are a variety of directions they can take in their careers.

For example, Kamyck said, if you're interested in the business side, you might become a manager or run audits that let companies know where they need to Strengthen to meet compliance. If you love the adversarial part of the job, you might become a penetration tester, essentially an “ethical hacker” who tests for system vulnerabilities by trying to get through them.

How To Get Into Cyber Security

If you’re wondering how to get into cyber security, it’s clear there are many positions out there. The question is how to make sure you’re a good fit for them. According to BLS, most information security analyst jobs require at least a bachelor’s degree in computer science, information assurance, programming or another related field.

In some cases, the work calls for a Master of Business Administration (MBA) in Information Systems. That degree typically takes an additional two years of study and involves both technical and business management courses.

Cyber security job requirements also sometimes include related work experience. Rather than jumping right into the security side of information technology, you can start as a network or computer systems administrator. Depending on the specific cyber security position, employers may have other job requirements. For instance, keeping databases secure might be an ideal job for someone who’s spent time as a database administrator and is also well-versed in security issues.

Aside from work experience and college degrees, some employers also prefer job candidates who have received certifications demonstrating their understanding of best practices in the field. For example, the Certified Information Systems Security Professional (CISSP) credential validates a professional’s general knowledge and abilities in information security. There are also more specific certificates, which can highlight specialized knowledge of computer architecture, engineering or management.

Whatever path new employees in cyber security want to follow, Kamyck said, those who are willing to make an effort to learn the field will find abundant opportunities.

“There’s needs in government. There’s needs in finance. There’s needs in education,” Kamyck said. “There’s a tremendous unfilled need.”

Discover more about SNHU's online cyber security degree: Find out what courses you'll take, skills you'll learn and how to request information about the program.

Nicholas Patterson is a writer at Southern New Hampshire University. Connect with him on LinkedIn.

Wed, 20 Jul 2022 12:00:00 -0500 en text/html https://www.snhu.edu/about-us/newsroom/stem/what-is-cyber-security
Killexams : Sicherheit: Mehrere Probleme in java-1_8_0-ibm
SUSE Security Update: Security update for java-1_8_0-ibm
______________________________________________________________________________

Announcement ID: SUSE-SU-2022:2650-1
Rating: important
References: #1191912 #1194931 #1198670 #1198671 #1198672
#1198673 #1198674 #1198675 #1201643
Cross-References: CVE-2021-35561 CVE-2022-21299 CVE-2022-21426
CVE-2022-21434 CVE-2022-21443 CVE-2022-21449
CVE-2022-21476 CVE-2022-21496
CVSS scores:
CVE-2021-35561 (NVD) : 5.3
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
CVE-2021-35561 (SUSE): 5.3
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
CVE-2022-21299 (NVD) : 5.3
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
CVE-2022-21299 (SUSE): 5.3
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
CVE-2022-21426 (NVD) : 5.3
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
CVE-2022-21426 (SUSE): 5.3
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
CVE-2022-21434 (NVD) : 5.3
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N
CVE-2022-21434 (SUSE): 5.3
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N
CVE-2022-21443 (NVD) : 3.7
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:L
CVE-2022-21443 (SUSE): 3.7
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:L
CVE-2022-21449 (NVD) : 7.5
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N
CVE-2022-21449 (SUSE): 7.5
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N
CVE-2022-21476 (NVD) : 7.5
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
CVE-2022-21476 (SUSE): 7.5
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
CVE-2022-21496 (NVD) : 5.3
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N
CVE-2022-21496 (SUSE): 5.3
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N

Affected Products:
SUSE CaaS Platform 4.0
SUSE Enterprise Storage 6
SUSE Enterprise Storage 7
SUSE Linux Enterprise High Performance Computing
SUSE Linux Enterprise Module for Legacy Software 15-SP3
SUSE Linux Enterprise Module for Legacy Software 15-SP4
SUSE Linux Enterprise Server
SUSE Linux Enterprise Server 15-LTSS
SUSE Linux Enterprise Server 15-SP1-BCL
SUSE Linux Enterprise Server 15-SP1-LTSS
SUSE Linux Enterprise Server 15-SP2-LTSS
SUSE Linux Enterprise Server for SAP 15
SUSE Linux Enterprise Server for SAP 15-SP1
SUSE Linux Enterprise Server for SAP 15-SP2
SUSE Linux Enterprise Server for SAP Applications
SUSE Linux Enterprise Storage 7.1
SUSE Manager Proxy 4.1
SUSE Manager Proxy 4.2
SUSE Manager Proxy 4.3
SUSE Manager Retail Branch Server 4.1
SUSE Manager Retail Branch Server 4.2
SUSE Manager Retail Branch Server 4.3
SUSE Manager Server 4.1
SUSE Manager Server 4.2
SUSE Manager Server 4.3
openSUSE Leap 15.3
openSUSE Leap 15.4
______________________________________________________________________________

An update that solves 8 vulnerabilities and has one errata
is now available.

Description:

This update for java-1_8_0-ibm fixes the following issues:

Update to Java 8.0 Service Refresh 7 Fix Pack 10 [bsc#1201643]

- CVE-2022-21476 (bsc#1198671), CVE-2022-21449 (bsc#1198670),
CVE-2022-21496 (bsc#1198673), CVE-2022-21434 (bsc#1198674),
CVE-2022-21426 (bsc#1198672), CVE-2022-21443 (bsc#1198675),
CVE-2021-35561 (bsc#1191912), CVE-2022-21299 (bsc#1194931).

Patch Instructions:

To install this SUSE Security Update use the SUSE recommended installation
methods
like YaST online_update or "zypper patch".

Alternatively you can run the command listed for your product:

- openSUSE Leap 15.4:

zypper in -t patch openSUSE-SLE-15.4-2022-2650=1

- openSUSE Leap 15.3:

zypper in -t patch openSUSE-SLE-15.3-2022-2650=1

- SUSE Manager Server 4.1:

zypper in -t patch SUSE-SLE-Product-SUSE-Manager-Server-4.1-2022-2650=1

- SUSE Manager Retail Branch Server 4.1:

zypper in -t patch
SUSE-SLE-Product-SUSE-Manager-Retail-Branch-Server-4.1-2022-2650=1

- SUSE Manager Proxy 4.1:

zypper in -t patch SUSE-SLE-Product-SUSE-Manager-Proxy-4.1-2022-2650=1

- SUSE Linux Enterprise Server for SAP 15-SP2:

zypper in -t patch SUSE-SLE-Product-SLES_SAP-15-SP2-2022-2650=1

- SUSE Linux Enterprise Server for SAP 15-SP1:

zypper in -t patch SUSE-SLE-Product-SLES_SAP-15-SP1-2022-2650=1

- SUSE Linux Enterprise Server for SAP 15:

zypper in -t patch SUSE-SLE-Product-SLES_SAP-15-2022-2650=1

- SUSE Linux Enterprise Server 15-SP2-LTSS:

zypper in -t patch SUSE-SLE-Product-SLES-15-SP2-LTSS-2022-2650=1

- SUSE Linux Enterprise Server 15-SP1-LTSS:

zypper in -t patch SUSE-SLE-Product-SLES-15-SP1-LTSS-2022-2650=1

- SUSE Linux Enterprise Server 15-SP1-BCL:

zypper in -t patch SUSE-SLE-Product-SLES-15-SP1-BCL-2022-2650=1

- SUSE Linux Enterprise Server 15-LTSS:

zypper in -t patch SUSE-SLE-Product-SLES-15-2022-2650=1

- SUSE Linux Enterprise Module for Legacy Software 15-SP4:

zypper in -t patch SUSE-SLE-Module-Legacy-15-SP4-2022-2650=1

- SUSE Linux Enterprise Module for Legacy Software 15-SP3:

zypper in -t patch SUSE-SLE-Module-Legacy-15-SP3-2022-2650=1

- SUSE Enterprise Storage 7:

zypper in -t patch SUSE-Storage-7-2022-2650=1

- SUSE Enterprise Storage 6:

zypper in -t patch SUSE-Storage-6-2022-2650=1

- SUSE CaaS Platform 4.0:

To install this update, use the SUSE CaaS Platform 'skuba' tool.
It
will inform you if it detects new updates and let you then trigger
updating of the complete cluster in a controlled way.

Package List:

- openSUSE Leap 15.4 (ppc64le s390x x86_64):

java-1_8_0-ibm-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-demo-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-devel-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-src-1.8.0_sr7.10-150000.3.59.1

- openSUSE Leap 15.4 (x86_64):

java-1_8_0-ibm-32bit-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-alsa-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-devel-32bit-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-plugin-1.8.0_sr7.10-150000.3.59.1

- openSUSE Leap 15.3 (ppc64le s390x x86_64):

java-1_8_0-ibm-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-demo-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-devel-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-src-1.8.0_sr7.10-150000.3.59.1

- openSUSE Leap 15.3 (x86_64):

java-1_8_0-ibm-32bit-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-alsa-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-devel-32bit-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-plugin-1.8.0_sr7.10-150000.3.59.1

- SUSE Manager Server 4.1 (ppc64le s390x x86_64):

java-1_8_0-ibm-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-devel-1.8.0_sr7.10-150000.3.59.1

- SUSE Manager Server 4.1 (x86_64):

java-1_8_0-ibm-alsa-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-plugin-1.8.0_sr7.10-150000.3.59.1

- SUSE Manager Retail Branch Server 4.1 (x86_64):

java-1_8_0-ibm-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-alsa-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-devel-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-plugin-1.8.0_sr7.10-150000.3.59.1

- SUSE Manager Proxy 4.1 (x86_64):

java-1_8_0-ibm-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-alsa-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-devel-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-plugin-1.8.0_sr7.10-150000.3.59.1

- SUSE Linux Enterprise Server for SAP 15-SP2 (ppc64le x86_64):

java-1_8_0-ibm-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-devel-1.8.0_sr7.10-150000.3.59.1

- SUSE Linux Enterprise Server for SAP 15-SP2 (x86_64):

java-1_8_0-ibm-alsa-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-plugin-1.8.0_sr7.10-150000.3.59.1

- SUSE Linux Enterprise Server for SAP 15-SP1 (ppc64le x86_64):

java-1_8_0-ibm-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-devel-1.8.0_sr7.10-150000.3.59.1

- SUSE Linux Enterprise Server for SAP 15-SP1 (x86_64):

java-1_8_0-ibm-alsa-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-plugin-1.8.0_sr7.10-150000.3.59.1

- SUSE Linux Enterprise Server for SAP 15 (ppc64le x86_64):

java-1_8_0-ibm-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-devel-1.8.0_sr7.10-150000.3.59.1

- SUSE Linux Enterprise Server for SAP 15 (x86_64):

java-1_8_0-ibm-alsa-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-plugin-1.8.0_sr7.10-150000.3.59.1

- SUSE Linux Enterprise Server 15-SP2-LTSS (ppc64le s390x x86_64):

java-1_8_0-ibm-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-devel-1.8.0_sr7.10-150000.3.59.1

- SUSE Linux Enterprise Server 15-SP2-LTSS (x86_64):

java-1_8_0-ibm-alsa-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-plugin-1.8.0_sr7.10-150000.3.59.1

- SUSE Linux Enterprise Server 15-SP1-LTSS (ppc64le s390x x86_64):

java-1_8_0-ibm-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-devel-1.8.0_sr7.10-150000.3.59.1

- SUSE Linux Enterprise Server 15-SP1-LTSS (x86_64):

java-1_8_0-ibm-alsa-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-plugin-1.8.0_sr7.10-150000.3.59.1

- SUSE Linux Enterprise Server 15-SP1-BCL (x86_64):

java-1_8_0-ibm-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-alsa-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-devel-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-plugin-1.8.0_sr7.10-150000.3.59.1

- SUSE Linux Enterprise Server 15-LTSS (s390x):

java-1_8_0-ibm-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-devel-1.8.0_sr7.10-150000.3.59.1

- SUSE Linux Enterprise Module for Legacy Software 15-SP4 (ppc64le s390x
x86_64):

java-1_8_0-ibm-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-devel-1.8.0_sr7.10-150000.3.59.1

- SUSE Linux Enterprise Module for Legacy Software 15-SP4 (x86_64):

java-1_8_0-ibm-alsa-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-plugin-1.8.0_sr7.10-150000.3.59.1

- SUSE Linux Enterprise Module for Legacy Software 15-SP3 (ppc64le s390x
x86_64):

java-1_8_0-ibm-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-devel-1.8.0_sr7.10-150000.3.59.1

- SUSE Linux Enterprise Module for Legacy Software 15-SP3 (x86_64):

java-1_8_0-ibm-alsa-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-plugin-1.8.0_sr7.10-150000.3.59.1

- SUSE Enterprise Storage 7 (x86_64):

java-1_8_0-ibm-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-alsa-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-devel-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-plugin-1.8.0_sr7.10-150000.3.59.1

- SUSE Enterprise Storage 6 (x86_64):

java-1_8_0-ibm-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-alsa-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-devel-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-plugin-1.8.0_sr7.10-150000.3.59.1

- SUSE CaaS Platform 4.0 (x86_64):

java-1_8_0-ibm-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-alsa-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-devel-1.8.0_sr7.10-150000.3.59.1
java-1_8_0-ibm-plugin-1.8.0_sr7.10-150000.3.59.1

References:

https://www.suse.com/security/cve/CVE-2021-35561.html
https://www.suse.com/security/cve/CVE-2022-21299.html
https://www.suse.com/security/cve/CVE-2022-21426.html
https://www.suse.com/security/cve/CVE-2022-21434.html
https://www.suse.com/security/cve/CVE-2022-21443.html
https://www.suse.com/security/cve/CVE-2022-21449.html
https://www.suse.com/security/cve/CVE-2022-21476.html
https://www.suse.com/security/cve/CVE-2022-21496.html
https://bugzilla.suse.com/1191912
https://bugzilla.suse.com/1194931
https://bugzilla.suse.com/1198670
https://bugzilla.suse.com/1198671
https://bugzilla.suse.com/1198672
https://bugzilla.suse.com/1198673
https://bugzilla.suse.com/1198674
https://bugzilla.suse.com/1198675
https://bugzilla.suse.com/1201643

Wed, 03 Aug 2022 16:17:00 -0500 de text/html https://www.pro-linux.de/sicherheit/2/68609/sicherheit-mehrere-probleme-in-java-1_8_0-ibm.html
Killexams : API Management Software Market to See Huge Growth by 2027 : IBM, Dell, Akana

AMA introduce new research on Global API Management Software covering micro level of analysis by competitors and key business segments (2021-2027). The Global API Management Software explores comprehensive study on various segments like opportunities, size, development, innovation, sales and overall growth of major players. The research is carried out on primary and secondary statistics sources and it consists both qualitative and quantitative detailing.

Ask sample Report PDF @ https://www.advancemarketanalytics.com/sample-report/7799-global-api-management-software-market-1

Some of the Major Key players profiled in the study are IBM (United States), Dell (United States), InSync Tech-Fin Solutions (India), Red Hat Software (United States), Akana (United States), Kong Enterprise (United States), Software AG (Germany), Informatica (United States), CA Technologies (United States), MuleSoft (United States).

API management software enables users to monitor, control, and monetize their application program interfaces (APIs) in a secure development environment.  This software is widely used to administer & monitor connection consistency, traffic, errors, and security & real-time integrations effortlessly.  This software enables enterprises to design & build APIs that can securely share their services and data.  Moreover, these software solutions offer insights on the number of requests incoming and users accessing any data with threat protection security features. Although there is a dearth of skilled developers the use of API management software offers businesses have a flexible approach to operate their businesses more efficiently in the digital world.

Influencing Market Trend

  • Rising Popularity of Web APIs
  • Rapid Adoption of the Internet of Things and Big Data in Emerged Economies

Market Drivers

  • Increasing Mobility and App Proliferation Worldwide
  • Growing Number of Mobile Subscribers and Penetration of E-Commerce

Opportunities:

  • Surging Need of System Integrators, Digital Transformation, SOA and PaaS Integrations

Challenges:

  • Server Availability Constraints

For more data or any query mail at [email protected]

Which market aspects are illuminated in the report?

Executive Summary: It covers a summary of the most vital studies, the Global API Management Software market increasing rate, modest circumstances, market trends, drivers and problems as well as macroscopic pointers.

Study Analysis: Covers major companies, vital market segments, the scope of the products offered in the Global API Management Software market, the years measured and the study points.

Company Profile: Each Firm well-defined in this segment is screened based on a products, value, SWOT analysis, their ability and other significant features.

Manufacture by region: This Global API Management Software report offers data on imports and exports, sales, production and key companies in all studied regional markets

Highlighted of Global API Management Software Market Segments and Sub-Segment:

API Management Software Market by Key Players: IBM (United States), Dell (United States), InSync Tech-Fin Solutions (India), Red Hat Software (United States), Akana (United States), Kong Enterprise (United States), Software AG (Germany), Informatica (United States), CA Technologies (United States), MuleSoft (United States)

API Management Software Market: by Application (Small Businesses and Individual Professionals, Midsize Businesses, Large Enterprises), Deployment Type (On-Premises, Cloud Based), Industry Verticals (BFSI, IT & Telecom, Government, Healthcare, Retail & Consumer Goods, Others Industry), Solution Type (API Portal, Security, API Gateway, API Analytics, Administration)

API Management Software Market by Geographical Analysis: Americas, United States, Canada, Mexico, Brazil, APAC, China, Japan, Korea, Southeast Asia, India, Australia, Europe, Germany, France, UK, Italy, Russia, Middle East & Africa, Egypt, South Africa, Israel, Turkey & GCC Countries

For More Query about the API Management Software Market Report? Get in touch with us at: https://www.advancemarketanalytics.com/enquiry-before-buy/7799-global-api-management-software-market-1

The study is a source of reliable data on: Market segments and sub-segments, Market trends and dynamics Supply and demand Market size Current trends/opportunities/challenges Competitive landscape Technological innovations Value chain and investor analysis.

Interpretative Tools in the Market: The report integrates the entirely examined and evaluated information of the prominent players and their position in the market by methods for various descriptive tools. The methodical tools including SWOT analysis, Porter’s five forces analysis, and investment return examination were used while breaking down the development of the key players performing in the market.

Key Growths in the Market: This section of the report incorporates the essential enhancements of the marker that contains assertions, coordinated efforts, R&D, new item dispatch, joint ventures, and associations of leading participants working in the market.

Key Points in the Market: The key features of this API Management Software market report includes production, production rate, revenue, price, cost, market share, capacity, capacity utilization rate, import/export, supply/demand, and gross margin. Key market dynamics plus market segments and sub-segments are covered.

Basic Questions Answered
*who are the key market players in the API Management Software Market?
*Which are the major regions for dissimilar trades that are expected to eyewitness astonishing growth for the
*What are the regional growth trends and the leading revenue-generating regions for the API Management Software Market?
*What are the major Product Type of API Management Software?
*What are the major applications of API Management Software?
*Which API Management Software technologies will top the market in next 5 years?

Examine Detailed Index of full Research Study [email protected]: https://www.advancemarketanalytics.com/reports/7799-global-api-management-software-market-1

Table of Content

Chapter One: Industry Overview

Chapter Two: Major Segmentation (Classification, Application and etc.) Analysis

Chapter Three: Production Market Analysis

Chapter Four: Sales Market Analysis

Chapter Five: Consumption Market Analysis

Chapter Six: Production, Sales and Consumption Market Comparison Analysis

Chapter Seven: Major Manufacturers Production and Sales Market Comparison Analysis

Chapter Eight: Competition Analysis by Players

Chapter Nine: Marketing Channel Analysis

Chapter Ten: New Project Investment Feasibility Analysis

Chapter Eleven: Manufacturing Cost Analysis

Chapter Twelve: Industrial Chain, Sourcing Strategy and Downstream Buyers

Buy the Full Research report of Global API Management Software [email protected]: https://www.advancemarketanalytics.com/buy-now?format=1&report=7799

Thanks for practicing this article; you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.

Contact US:
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AMA Research & Media LLP
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Thu, 28 Jul 2022 20:22:00 -0500 Newsmantraa en-US text/html https://www.digitaljournal.com/pr/api-management-software-market-to-see-huge-growth-by-2027-ibm-dell-akana
Killexams : Contact Center Software Market Trends, Size, Share, Growth, Industry Analysis, Advance Technology and Forecast 2027

"IBM (US), Genesys (US), AWS (US), Five9 (US), Twilio (US), Mitel (Canada), Cisco (US), BT (UK), Verizon (US), Avaya (US), Vonage (US), 8x8 (US), Atos (France), Talkdesk (US), NICE (Israel), Alcatel Lucent Enterprise (France) and more."

Contact Center Software Market by Component (Solutions and Services), Deployment Model (Cloud and On-Premises), Organization Size ( Large and Small and Medium-Sized Enterprises), Industry and Region - Global Forecast to 2027

The Contact Center Software Market size is expected to grow at a Compound Annual Growth Rate (CAGR) of 21.6% during the forecast period, to reach USD 93.7 billion by 2027 from USD 35.2 billion in 2022.

Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=257044641

Services help organizations in effective integration and implementation of Contact Center Software software with the existing in-house infrastructure

The services segment of Contact Center Software is expected to have a promising future due to various integration of contact center solutions. Services help organizations in building successful customer relationships by continuously supporting them through their business tenure. The growing need for integrating Contact Center Software with other enterprise business applications to drive the growth of Contact Center Software services. These services offered by vendors help users select the best Contact Center Software software, which is appropriate to their business needs.

Scope of the Report

Report Metrics

Details

Market size available for years

2022-2027

Base year considered

2021

Forecast period

2022-2027

Forecast units

Value (USD Million/Billion)

Segments covered

Components (Solution and Services), Deployment Models, Organization Size, Industries, and Regions

Regions covered

North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

Companies covered

IBM (US), Genesys (US), AWS (US), Five9 (US), Twilio (US), Mitel (Canada), Cisco (US), BT (UK), Verizon (US), Avaya (US), Vonage (US), 8x8 (US), Atos (France), Talkdesk (US), NICE (Israel), Alcatel Lucent Enterprise (France) and more.

The Cloud-based Contact Center Software solutions help reduce the overall costs and provide highly flexible and scalable access to solutions through the IT infrastructure hosted by the cloud service provider.

The rising shift from on-premises to cloud infrastructure is increasing the demand for Contact Center Software solutions which is mainly due to various benefits of the cloud that include 24x7 data accessibility, rapid implementation, reduced setup, and operational cost, which is Capital Expenditure (CAPEX) and Operating Expense (OPEX), less maintenance cost, scalability, and ease of use for a company with limited IT staff and budget. The adoption of cloud deployment has increased over the five years, especially in SMEs.

Request sample Pages: https://www.marketsandmarkets.com/requestsampleNew.asp?id=257044641

The major players have implemented various growth strategies to expand their global presence and increase their market shares. Key players such as Genesys, IBM, AWS, Five9, and Twilio have majorly adopted many growth strategies, such as new product launches, acquisitions, and partnerships, to expand their product portfolios and grow further in the Contact Center Software market.

Genesys offers an exhaustive product portfolio and best-in-class tailored offerings to customers. Hence, the company has witnessed new bookings growth of more than 40% in every quarter of 2020, especially due to the strong progress of its cloud platforms that has enhanced its market share in the contact center software market. Moreover, in January 2020, Genesys rebranded its flagship SaaS offering PureCloud to Genesys Cloud to mark the launch of experience as a service via its cloud platform with a new pricing model. Genesys Cloud offers a flexible environment to meet customer needs with capabilities including call center software, digital sales and service automation, workforce engagement and management, reporting and analytics, and integration and apps. Genesys offers consolidated contact centers and business communications in the all-in-one platform. The company is a pioneer in AI and has a strong focus on intelligent automation as compared to others. In AI, Genesys provides an early adopter program that features Google Contact Center capabilities such as predictive routing.

Five9 has a broad technology portfolio of contact center products, solutions, and services. Hence, it encounters strong competition in all areas of business due to the presence of many big competitors in the contact center software market. The company focuses on delivering its platform on the cloud and is disrupting a significantly large market by replacing legacy on-premises contact center systems with cloud-based contact centers. Furthermore, it has developed a high velocity, metrics-driven sales, and marketing strategy, designed to effectively identify, qualify, and grab sales opportunities. The sales model adopted by Five9 consists of a field sales team and a tele-sales team that sell its solutions. Five9 has also developed a large ecosystem of technology and system integrator partners and independent software vendors to help increase awareness about its solution in the market and drive incremental sales opportunities with new and existing clients.

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To view the original version on ABNewswire visit: Contact Center Software Market Trends, Size, Share, Growth, Industry Analysis, Advance Technology and Forecast 2027

© 2022 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.

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Killexams : IBM Report: Consumers Pay the Price as Data Breach Costs Reach All-Time High

60% of breached businesses raised product prices post-breach; vast majority of critical infrastructure lagging in zero trust adoption; $550,000 in extra costs for insufficiently staffed businesses

CAMBRIDGE, Mass., July 27, 2022 /PRNewswire/ -- IBM (NYSE: IBM) Security today released the annual Cost of a Data Breach Report,1 revealing costlier and higher-impact data breaches than ever before, with the global average cost of a data breach reaching an all-time high of $4.35 million for studied organizations. With breach costs increasing nearly 13% over the last two years of the report, the findings suggest these incidents may also be contributing to rising costs of goods and services. In fact, 60% of studied organizations raised their product or services prices due to the breach, when the cost of goods is already soaring worldwide amid inflation and supply chain issues.

60% of breached businesses studied stated they increased the price of their products or services due to the data breach

The perpetuality of cyberattacks is also shedding light on the "haunting effect" data breaches are having on businesses, with the IBM report finding 83% of studied organizations have experienced more than one data breach in their lifetime. Another factor rising over time is the after-effects of breaches on these organizations, which linger long after they occur, as nearly 50% of breach costs are incurred more than a year after the breach.

The 2022 Cost of a Data Breach Report is based on in-depth analysis of real-world data breaches experienced by 550 organizations globally between March 2021 and March 2022. The research, which was sponsored and analyzed by IBM Security, was conducted by the Ponemon Institute.

Some of the key findings in the 2022 IBM report include:

  • Critical Infrastructure Lags in Zero Trust – Almost 80% of critical infrastructure organizations studied don't adopt zero trust strategies, seeing average breach costs rise to $5.4 million – a $1.17 million increase compared to those that do. All while 28% of breaches amongst these organizations were ransomware or destructive attacks.
  • It Doesn't Pay to Pay – Ransomware victims in the study that opted to pay threat actors' ransom demands saw only $610,000 less in average breach costs compared to those that chose not to pay – not including the cost of the ransom. Factoring in the high cost of ransom payments, the financial toll may rise even higher, suggesting that simply paying the ransom may not be an effective strategy.
  • Security Immaturity in Clouds – Forty-three percent of studied organizations are in the early stages or have not started applying security practices across their cloud environments, observing over $660,000 on average in higher breach costs than studied organizations with mature security across their cloud environments.
  • Security AI and Automation Leads as Multi-Million Dollar Cost Saver – Participating organizations fully deploying security AI and automation incurred $3.05 million less on average in breach costs compared to studied organizations that have not deployed the technology – the biggest cost saver observed in the study.

"Businesses need to put their security defenses on the offense and beat attackers to the punch. It's time to stop the adversary from achieving their objectives and start to minimize the impact of attacks. The more businesses try to perfect their perimeter instead of investing in detection and response, the more breaches can fuel cost of living increases." said Charles Henderson, Global Head of IBM Security X-Force. "This report shows that the right strategies coupled with the right technologies can help make all the difference when businesses are attacked."

Over-trusting Critical Infrastructure Organizations
Concerns over critical infrastructure targeting appear to be increasing globally over the past year, with many governments' cybersecurity agencies urging vigilance against disruptive attacks. In fact, IBM's report reveals that ransomware and destructive attacks represented 28% of breaches amongst critical infrastructure organizations studied, highlighting how threat actors are seeking to fracture the global supply chains that rely on these organizations. This includes financial services, industrial, transportation and healthcare companies amongst others.

Despite the call for caution, and a year after the Biden Administration issued a cybersecurity executive order that centers around the importance of adopting a zero trust approach to strengthen the nation's cybersecurity, only 21% of critical infrastructure organizations studied adopt a zero trust security model, according to the report. Add to that, 17% of breaches at critical infrastructure organizations were caused due to a business partner being initially compromised, highlighting the security risks that over-trusting environments pose.

Businesses that Pay the Ransom Aren't Getting a "Bargain"
According to the 2022 IBM report, businesses that paid threat actors' ransom demands saw $610,000 less in average breach costs compared to those that chose not to pay – not including the ransom amount paid. However, when accounting for the average ransom payment, which according to Sophos reached $812,000 in 2021, businesses that opt to pay the ransom could net higher total costs - all while inadvertently funding future ransomware attacks with capital that could be allocated to remediation and recovery efforts and looking at potential federal offenses.

The persistence of ransomware, despite significant global efforts to impede it, is fueled by the industrialization of cybercrime. IBM Security X-Force discovered the duration of studied enterprise ransomware attacks shows a drop of 94% over the past three years – from over two months to just under four days. These exponentially shorter attack lifecycles can prompt higher impact attacks, as cybersecurity incident responders are left with very short windows of opportunity to detect and contain attacks. With "time to ransom" dropping to a matter of hours, it's essential that businesses prioritize rigorous testing of incident response (IR) playbooks ahead of time. But the report states that as many as 37% of organizations studied that have incident response plans don't test them regularly.

Hybrid Cloud Advantage
The report also showcased hybrid cloud environments as the most prevalent (45%) infrastructure amongst organizations studied. Averaging $3.8 million in breach costs, businesses that adopted a hybrid cloud model observed lower breach costs compared to businesses with a solely public or private cloud model, which experienced $5.02 million and $4.24 million on average respectively. In fact, hybrid cloud adopters studied were able to identify and contain data breaches 15 days faster on average than the global average of 277 days for participants.

The report highlights that 45% of studied breaches occurred in the cloud, emphasizing the importance of cloud security. However, a significant 43% of reporting organizations stated they are just in the early stages or have not started implementing security practices to protect their cloud environments, observing higher breach costs2. Businesses studied that did not implement security practices across their cloud environments required an average 108 more days to identify and contain a data breach than those consistently applying security practices across all their domains.

Additional findings in the 2022 IBM report include:

  • Phishing Becomes Costliest Breach Cause – While compromised credentials continued to reign as the most common cause of a breach (19%), phishing was the second (16%) and the costliest cause, leading to $4.91 million in average breach costs for responding organizations.
  • Healthcare Breach Costs Hit Double Digits for First Time Ever– For the 12th year in a row, healthcare participants saw the costliest breaches amongst industries with average breach costs in healthcare increasing by nearly $1 million to reach a record high of $10.1 million.
  • Insufficient Security Staffing – Sixty-two percent of studied organizations stated they are not sufficiently staffed to meet their security needs, averaging $550,000 more in breach costs than those that state they are sufficiently staffed.

Additional Sources

  • To get a copy of the 2022 Cost of a Data Breach Report, please visit: https://www.ibm.com/security/data-breach.
  • Read more about the report's top findings in this IBM Security Intelligence blog.
  • Sign up for the 2022 IBM Security Cost of a Data Breach webinar on Wednesday, August 3, 2022, at 11:00 a.m. ET here.
  • Connect with the IBM Security X-Force team for a personalized review of the findings: https://ibm.biz/book-a-consult.

About IBM Security
IBM Security offers one of the most advanced and integrated portfolios of enterprise security products and services. The portfolio, supported by world-renowned IBM Security X-Force® research, enables organizations to effectively manage risk and defend against emerging threats. IBM operates one of the world's broadest security research, development, and delivery organizations, monitors 150 billion+ security events per day in more than 130 countries, and has been granted more than 10,000 security patents worldwide. For more information, please check www.ibm.com/security, follow @IBMSecurity on Twitter or visit the IBM Security Intelligence blog.

Press Contact:

IBM Security Communications
Georgia Prassinos
gprassinos@ibm.com

1 Cost of a Data Breach Report 2022, conducted by Ponemon Institute, sponsored, and analyzed by IBM
2 Average cost of $4.53M, compared to average cost $3.87 million at participating organizations with mature-stage cloud security practices

IBM Corporation logo. (PRNewsfoto/IBM)

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SOURCE IBM

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Killexams : AI Regulation: Where do China, the EU, and the U.S. Stand Today?

Wednesday, August 3, 2022

Artificial Intelligence (AI) systems are poised to drastically alter the way businesses and governments operate on a global scale, with significant changes already under way. This technology has manifested itself in multiple forms including natural language processing, machine learning, and autonomous systems, but with the proper inputs can be leveraged to make predictions, recommendations, and even decisions.

Accordingly,enterprises are increasingly embracing this dynamic technology. A 2022 global study by IBM found that 77% of companies are either currently using AI or exploring AI for future use, creating value by increasing productivity through automation, improved decision-making, and enhanced customer experience. Further, according to a 2021 PwC study the COVID-19 pandemic increased the pace of AI adoption for 52% of companies as they sought to mitigate the crises’ impact on workforce planning, supply chain resilience, and demand projection.  

Challenges of Global Regulation

For these many businesses investing significant resources into AI, it is critical to understand the current and proposed legal frameworks regulating this novel technology. Specifically for businesses operating globally, the task of ensuring that their AI technology complies with applicable regulations will be complicated by the differing standards that are emerging from China, the European Union (EU), and the U.S.

China

China has taken the lead in moving AI regulations past the proposal stage. In March 2022, China passed a regulation governing companies’ use of algorithms in online recommendation systems, requiring that such services are moral, ethical, accountable, transparent, and “disseminate positive energy.” The regulation mandates companies notify users when an AI algorithm is playing a role in determining which information to display to them and deliver users the option to opt out of being targeted. Additionally, the regulation prohibits algorithms that use personal data to offer different prices to consumers. We expect these themes to manifest themselves in AI regulations throughout the world as they develop.

European Union

Meanwhile in the EU, the European Commission has published an overarching regulatory framework proposal titled the Artificial Intelligence Act which would have a much broader scope than China’s enacted regulation. The proposal focuses on the risks created by AI, with applications sorted into categories of minimal risk, limited risk, high risk, or unacceptable risk. Depending on an application’s designated risk level, there will be corresponding government action or obligations. So far, the proposed obligations focus on enhancing the security, transparency, and accountability of AI applications through human oversight and ongoing monitoring. Specifically, companies will be required to register stand-alone high-risk AI systems, such as remote biometric identification systems, in an EU database. If the proposed regulation is passed, the earliest date for compliance would be the second half of 2024 with potential fines for noncompliance ranging from 2-6% of a company’s annual revenue.

Additionally, the previously enacted EU General Data Protection Regulation (GDPR) already carries implications for AI technology. Article 22 prohibits decisions based on solely automated processes that produce legal consequences or similar effects for individuals unless the program gains the user’s explicit consent or meets other requirements. 

United States

In the United States there has been a fragmented approach to AI regulation thus far, with states enacting their own patchwork AI laws. Many of the enacted regulations focus on establishing various commissions to determine how state agencies can utilize AI technology and to study AI’s potential impacts on the workforce and consumers. Common pending state initiatives go a step further and would regulate AI systems’ accountability and transparency when they process and make decisions based on consumer data. 

On a national level, the U.S. Congress enacted the National AI Initiative Act in January 2021, creating the National AI Initiative that provides “an overarching framework to strengthen and coordinate AI research, development, demonstration, and education activities across all U.S. Departments and Agencies . . . .” The Act created new offices and task forces aimed at implementing a national AI strategy, implicating a multitude of U.S. administrative agencies including the Federal Trade Commission (FTC), Department of Defense, Department of Agriculture, Department of Education, and the Department of Health and Human Services.

Pending national legislation includes the Algorithmic Accountability Act of 2022, which was introduced in both houses of Congress in February 2022. In response to reports that AI systems can lead to biased and discriminatory outcomes, the proposed Act would direct the FTC to create regulations that mandate “covered entities”, including businesses meeting certain criteria, to perform impact assessments when using automated decision-making processes. This would specifically include those derived from AI or machine learning. 

The Federal Trade Commission is Proactive

While the FTC has not promulgated AI-specific regulations, this technology is on the agency’s radar. In April 2021 the FTC issued a memo which apprised companies that using AI that produces discriminatory outcomes equates to a violation of Section 5 of the FTC Act, which prohibits unfair or deceptive practices. And the FTC may soon take this warning a step farther—in June 2022 the agency indicated that it will submit an Advanced Notice of Preliminary Rulemaking to “ensure that algorithmic decision-making does not result in harmful discrimination” with the public comment period ending in August 2022. The FTC also recently issued a report to Congress discussing how AI may be used to combat online harms, ranging from scams, deep fakes, and opioid sales, but advised against over-reliance on these tools, citing the technology’s susceptibility to producing inaccurate, biased, and discriminatory outcomes.

Potential Liability for Businesses in the U.S.

Companies should carefully discern whether other non-AI specific regulations could subject them to potential liability for their use of AI technology. For example, the U.S. Equal Employment Opportunity Commission (EEOC) put forth guidance in May 2022 warning companies that their use of algorithmic decision-making tools to assess job applicants and employees could violate the Americans with Disabilities Act by, in part, intentionally or unintentionally screening out individuals with disabilities. Further analysis of the EEOC’s guidance can be found here.    

Broader Impact on U.S. Businesses

Many other U.S. agencies and offices are beginning to delve into the fray of AI. In November 2021, the White House Office of Science and Technology Policy solicited engagement from stakeholders across industries in an effort to develop a “Bill of Rights for an Automated Society.” Such a Bill of Rights could cover courses like AI’s role in the criminal justice system, equal opportunities, consumer rights, and the healthcare system. Additionally, the National Institute of Standards and Technology (NIST), which falls under the U.S. Department of Commerce, is engaging with stakeholders to develop “a voluntary risk management framework for trustworthy AI systems.” The output of this project may be analogous to the EU’s proposed regulatory framework, but in a voluntary format.

What’s Next?

The overall theme of enacted and pending AI regulations globally is maintaining the accountability, transparency, and fairness of AI. For companies leveraging AI technology, ensuring that their systems remain compliant with the various regulations intended to achieve these goals could be difficult and costly. Two aspects of AI’s decision-making process make oversight particularly demanding:

  • Opaqueness where users can control data inputs and view outputs, but are often unable to explain how and with which data points the system made a decision.

  • Frequent adaptation where processes evolve over time as the system learns.

Therefore, it is important for regulators to avoid overburdening businesses to ensure that stakeholders may still leverage AI technologies’ great benefits in a cost-effective manner. The U.S. has the opportunity to observe the outcomes of the current regulatory action from China and the EU to determine whether their approaches strike a favorable balance. However, the U.S. should potentially accelerate its promulgation of similar laws so that it can play a role in setting the global tone for AI regulatory standards.  

 

Thank you to co-author Lara Coole, a summer associate in Foley & Lardner’s Jacksonville office, for her contributions to this post.

Wed, 03 Aug 2022 08:48:00 -0500 en text/html https://www.natlawreview.com/article/ai-regulation-where-do-china-eu-and-us-stand-today
Killexams : Workload Scheduling Software Market Size and Growth 2022 Analysis Report by Development Plans, Manufactures, Latest Innovations and Forecast to 2028

The MarketWatch News Department was not involved in the creation of this content.

Aug 03, 2022 (The Expresswire) -- "Final Report will add the analysis of the impact of COVID-19 on this industry."

Global “Workload Scheduling Software Market” 2022 report presents a comprehensive study of the entire Global market including market size, share trends, market dynamics, and overview by segmentation by types, applications, manufactures and geographical regions. The report offers the most up-to-date industry data on the actual market situation and future outlook for the Workload Scheduling Software market. The report also provides up-to-date historical market size data for the period and an illustrative forecast to 2028 covering key market aspects like market value and volume for Workload Scheduling Software industry.

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Market Analysis and Insights: Global Workload Scheduling Software Market

System management software is an application that manages all applications of an enterprise such as scheduling and automation, event management, workload scheduling, and performance management. Workload scheduling software is also known as batch scheduling software. It automates, monitors, and controls jobs or workflows in an organization. It allows the execution of background jobs that are unattended by the system administrator, aligning IT with business objectives to Strengthen an organization's performance and reduce the total cost of ownership. This process is known as batch processing. Workload scheduling software provides a centralized view of operations to the system administrator at various levels: project, organizational, and enterprise.
The global Workload Scheduling Software market size is projected to reach USD million by 2028, from USD million in 2021, at a CAGR of during 2022-2028.
According to the report, workload scheduling involves automation of jobs, in which tasks are executed without human intervention. Solutions like ERP and customer relationship management (CRM) are used in organizations across the globe. ERP, which is a business management software, is a suite of integrated applications that is being used by organizations in various sectors for data collection and interpretation related to business activities such as sales and inventory management. CRM software is used to manage customer data and access business information.

The major players covered in the Workload Scheduling Software market report are:

● BMC Software ● Broadcom ● IBM ● VMWare ● Adaptive Computing ● ASG Technologies ● Cisco ● Microsoft ● Stonebranch ● Wrike ● ServiceNow ● Symantec ● Sanicon Services ● Cloudify

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Global Workload Scheduling Software Market: Drivers and Restrains

The research report has incorporated the analysis of different factors that augment the market’s growth. It constitutes trends, restraints, and drivers that transform the market in either a positive or negative manner. This section also provides the scope of different segments and applications that can potentially influence the market in the future. The detailed information is based on current trends and historic milestones. This section also provides an analysis of the volume of production about the global market and about each type from 2017 to 2028. This section mentions the volume of production by region from 2017 to 2028. Pricing analysis is included in the report according to each type from the year 2017 to 2028, manufacturer from 2017 to 2022, region from 2017 to 2022, and global price from 2017 to 2028.

A thorough evaluation of the restrains included in the report portrays the contrast to drivers and gives room for strategic planning. Factors that overshadow the market growth are pivotal as they can be understood to devise different bends for getting hold of the lucrative opportunities that are present in the ever-growing market. Additionally, insights into market expert’s opinions have been taken to understand the market better.

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Global Workload Scheduling Software Market: Segment Analysis

The research report includes specific segments by region (country), by manufacturers, by Type and by Application. Each type provides information about the production during the forecast period of 2017 to 2028. By Application segment also provides consumption during the forecast period of 2017 to 2028. Understanding the segments helps in identifying the importance of different factors that aid the market growth.

Segment by Type

● On-Premises ● Cloud-Based

Segment by Application

● Large Enterprises ● Small And Medium-Sized Enterprises (SMEs) ● Government Organizations

Workload Scheduling Software Market Key Points:

● Characterize, portray and Forecast Workload Scheduling Software item market by product type, application, manufactures and geographical regions. ● deliver venture outside climate investigation. ● deliver systems to organization to manage the effect of COVID-19. ● deliver market dynamic examination, including market driving variables, market improvement requirements. ● deliver market passage system examination to new players or players who are prepared to enter the market, including market section definition, client investigation, conveyance model, item informing and situating, and cost procedure investigation. ● Stay aware of worldwide market drifts and deliver examination of the effect of the COVID-19 scourge on significant locales of the world. ● Break down the market chances of partners and furnish market pioneers with subtleties of the cutthroat scene.

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Geographical Segmentation:

Geographically, this report is segmented into several key regions, with sales, revenue, market share, and Workload Scheduling Software market growth rate in these regions, from 2015 to 2028, covering

● North America (United States, Canada and Mexico) ● Europe (Germany, UK, France, Italy, Russia and Turkey etc.) ● Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia, and Vietnam) ● South America (Brazil etc.) ● Middle East and Africa (Egypt and GCC Countries)

Some of the key questions answered in this report:

● Who are the worldwide key Players of the Workload Scheduling Software Industry? ● How the opposition goes in what was in store connected with Workload Scheduling Software? ● Which is the most driving country in the Workload Scheduling Software industry? ● What are the Workload Scheduling Software market valuable open doors and dangers looked by the manufactures in the worldwide Workload Scheduling Software Industry? ● Which application/end-client or item type might look for gradual development possibilities? What is the portion of the overall industry of each kind and application? ● What centered approach and imperatives are holding the Workload Scheduling Software market? ● What are the various deals, promoting, and dissemination diverts in the worldwide business? ● What are the key market patterns influencing the development of the Workload Scheduling Software market? ● Financial effect on the Workload Scheduling Software business and improvement pattern of the Workload Scheduling Software business?

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Detailed TOC of Global Workload Scheduling Software Market Research Report 2022

1 Workload Scheduling Software Market Overview

1.1 Product Overview and Scope

1.2 Segment by Type

1.2.1 Global Market Size Growth Rate Analysis by Type 2022 VS 2028

1.3 Workload Scheduling Software Segment by Application

1.3.1 Global Consumption Comparison by Application: 2022 VS 2028

1.4 Global Market Growth Prospects

1.4.1 Global Revenue Estimates and Forecasts (2017-2028)

1.4.2 Global Production Capacity Estimates and Forecasts (2017-2028)

1.4.3 Global Production Estimates and Forecasts (2017-2028)

1.5 Global Market Size by Region

1.5.1 Global Market Size Estimates and Forecasts by Region: 2017 VS 2021 VS 2028

1.5.2 North America Workload Scheduling Software Estimates and Forecasts (2017-2028)

1.5.3 Europe Estimates and Forecasts (2017-2028)

1.5.4 China Estimates and Forecasts (2017-2028)

1.5.5 Japan Estimates and Forecasts (2017-2028)

2 Workload Scheduling Software Market Competition by Manufacturers

2.1 Global Production Capacity Market Share by Manufacturers (2017-2022)

2.2 Global Revenue Market Share by Manufacturers (2017-2022)

2.3 Market Share by Company Type (Tier 1, Tier 2 and Tier 3)

2.4 Global Average Price by Manufacturers (2017-2022)

2.5 Manufacturers Production Sites, Area Served, Product Types

2.6 Market Competitive Situation and Trends

2.6.1 Market Concentration Rate

2.6.2 Global 5 and 10 Largest Workload Scheduling Software Players Market Share by Revenue

2.6.3 Mergers and Acquisitions, Expansion

3 Workload Scheduling Software Production Capacity by Region

3.1 Global Production Capacity of Workload Scheduling Software Market Share by Region (2017-2022)

3.2 Global Revenue Market Share by Region (2017-2022)

3.3 Global Production Capacity, Revenue, Price and Gross Margin (2017-2022)

3.4 North America Production

3.4.1 North America Production Growth Rate (2017-2022)

3.4.2 North America Production Capacity, Revenue, Price and Gross Margin (2017-2022)

3.5 Europe Production

3.5.1 Europe Production Growth Rate (2017-2022)

3.5.2 Europe Production Capacity, Revenue, Price and Gross Margin (2017-2022)

3.6 China Production

3.6.1 China Production Growth Rate (2017-2022)

3.6.2 China Production Capacity, Revenue, Price and Gross Margin (2017-2022)

3.7 Japan Production

3.7.1 Japan Production Growth Rate (2017-2022)

3.7.2 Japan Production Capacity, Revenue, Price and Gross Margin (2017-2022)

4 Global Workload Scheduling Software Market Consumption by Region

4.1 Global Consumption by Region

4.1.1 Global Consumption by Region

4.1.2 Global Consumption Market Share by Region

4.2 North America

4.2.1 North America Consumption by Country

4.2.2 United States

4.2.3 Canada

4.3 Europe

4.3.1 Europe Consumption by Country

4.3.2 Germany

4.3.3 France

4.3.4 U.K.

4.3.5 Italy

4.3.6 Russia

4.4 Asia Pacific

4.4.1 Asia Pacific Consumption by Region

4.4.2 China

4.4.3 Japan

4.4.4 South Korea

4.4.5 China Taiwan

4.4.6 Southeast Asia

4.4.7 India

4.4.8 Australia

4.5 Latin America

4.5.1 Latin America Consumption by Country

4.5.2 Mexico

4.5.3 Brazil

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5 Workload Scheduling Software Market Segment by Type

5.1 Global Production Market Share by Type (2017-2022)

5.2 Global Revenue Market Share by Type (2017-2022)

5.3 Global Price by Type (2017-2022)

6 Workload Scheduling Software Market Segment by Application

6.1 Global Production Market Share by Application (2017-2022)

6.2 Global Revenue Market Share by Application (2017-2022)

6.3 Global Price by Application (2017-2022)

7 Workload Scheduling Software Market Key Companies Profiled

7.1 Manufacture 1

7.1.1 Manufacture 1 Corporation Information

7.1.2 Manufacture 1 Product Portfolio

7.1.3 Manufacture 1 Production Capacity, Revenue, Price and Gross Margin (2017-2022)

7.1.4 Manufacture 1 Main Business and Markets Served

7.1.5 Manufacture 1 recent Developments/Updates

7.2 Manufacture 2

7.2.1 Manufacture 2 Corporation Information

7.2.2 Manufacture 2 Product Portfolio

7.2.3 Manufacture 2 Production Capacity, Revenue, Price and Gross Margin (2017-2022)

7.2.4 Manufacture 2 Main Business and Markets Served

7.2.5 Manufacture 2 recent Developments/Updates

7.3 Manufacture 3

7.3.1 Manufacture 3 Corporation Information

7.3.2 Manufacture 3 Product Portfolio

7.3.3 Manufacture 3 Production Capacity, Revenue, Price and Gross Margin (2017-2022)

7.3.4 Manufacture 3 Main Business and Markets Served

7.3.5 Manufacture 3 recent Developments/Updates

8 Workload Scheduling Software Manufacturing Cost Analysis

8.1 Key Raw Materials Analysis

8.1.1 Key Raw Materials

8.1.2 Key Suppliers of Raw Materials

8.2 Proportion of Manufacturing Cost Structure

8.3 Manufacturing Process Analysis of Workload Scheduling Software

8.4 Workload Scheduling Software Industrial Chain Analysis

9 Marketing Channel, Distributors and Customers

9.1 Marketing Channel

9.2 Workload Scheduling Software Distributors List

9.3 Workload Scheduling Software Customers

10 Market Dynamics

10.1 Workload Scheduling Software Industry Trends

10.2 Workload Scheduling Software Market Drivers

10.3 Workload Scheduling Software Market Challenges

10.4 Workload Scheduling Software Market Restraints

11 Production and Supply Forecast

11.1 Global Forecasted Production of Workload Scheduling Software by Region (2023-2028)

11.2 North America Workload Scheduling Software Production, Revenue Forecast (2023-2028)

11.3 Europe Workload Scheduling Software Production, Revenue Forecast (2023-2028)

11.4 China Workload Scheduling Software Production, Revenue Forecast (2023-2028)

11.5 Japan Workload Scheduling Software Production, Revenue Forecast (2023-2028)

12 Consumption and Demand Forecast

12.1 Global Forecasted Demand Analysis of Workload Scheduling Software

12.2 North America Forecasted Consumption of Workload Scheduling Software by Country

12.3 Europe Market Forecasted Consumption of Workload Scheduling Software by Country

12.4 Asia Pacific Market Forecasted Consumption of Workload Scheduling Software by Region

12.5 Latin America Forecasted Consumption of Workload Scheduling Software by Country

13 Forecast by Type and by Application (2023-2028)

13.1 Global Production, Revenue and Price Forecast by Type (2023-2028)

13.1.1 Global Forecasted Production of Workload Scheduling Software by Type (2023-2028)

13.1.2 Global Forecasted Revenue of Workload Scheduling Software by Type (2023-2028)

13.1.3 Global Forecasted Price of Workload Scheduling Software by Type (2023-2028)

13.2 Global Forecasted Consumption of Workload Scheduling Software by Application (2023-2028)

13.2.1 Global Forecasted Production of Workload Scheduling Software by Application (2023-2028)

13.2.2 Global Forecasted Revenue of Workload Scheduling Software by Application (2023-2028)

13.2.3 Global Forecasted Price of Workload Scheduling Software by Application (2023-2028)

14 Research Finding and Conclusion

15 Methodology and Data Source

15.1 Methodology/Research Approach

15.1.1 Research Programs/Design

15.1.2 Market Size Estimation

15.1.3 Market Breakdown and Data Triangulation

15.2 Data Source

15.2.1 Secondary Sources

15.2.2 Primary Sources

15.3 Author List

15.4 Disclaimer

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Killexams : IoT Analytics Market is expected to Grow USD 92.46 Billion by 2030 | Sap, Oracle, IBM

Market Overview

The IoT analytics market has been esteemed at USD 9.1 billion in 2018 and required to develop at a CAGR of 24.63% by 2030, to arrive at USD 92.46 Billion by 2030.

The market is being driven by the growing development of bury-related devices and the sharing of data across a variety of industries. The IoT Analytics market is rapidly expanding due to the growing need to have data from numerous endeavors cautiously accessible. Continuous observation and sharing of knowledge are critical and should be prioritized. It has become easier to share data as a result of recent mechanical advancements and improvements. IoT analytics are used in a variety of businesses. The IoT analytics sector is used by the medical services business to Strengthen the nature of therapy. It’s also used in web-based business, retail, and assembly to refresh existing patterns and customer behavior that can be used to develop new products and services.

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The flexibility of the IoT analytics market forecast merchants to set restrictions or provide more highlights for similar pricing is one silver lining to the COVID-19 emergency. Most IoT analytics market implementers are optimistic about the potential of IoT innovation expenditure plans during the COVID times. COVID-19 drove spending increases at the same time. In terms of IoT analytics market spending adjustments, half of the respondents said COVID-19 increased the demand for computerized activities, including IoT.

Market Segmentation

Based on the Type, the market has been segmented into Predictive Analytics, Descriptive Analytics, and Prescriptive Analytics.

Based on the Application, the market has been segmented into energy the executives, building mechanization, prescient, stock administration, deals and client the board and security, and resource the board, and crisis the executives. To identify, filter, investigate, address, and quickly recover from major events, the organizations use advanced logical devices.

Top Trending Reports:

  1. 5G market
  2. Smart Lighting Market

Regional Classification

North America continues to hold the largest share of the market, with revenue expected to reach approximately USD 50,000 Million during the forecast period and is expected to grow at the fastest rate in the global IoT investigation market. In addition, Europe is expected to account for 10% of the entire industry, as well as other IoT analytics market demands, allowing it to rank second in the global IoT investigation market by the end of the forecast period. Despite this, the Middle East and Africa (MEA) region would have a relatively low CAGR throughout the forecast period. Medical services will continue to be the most important driving vertical for the global IoT examination market, as the impact of retail is required to see the fastest growth for IoT investigation. During the forecasted time frame, medical care alone will be required to account for more than 70% of the IoT analytics industry. Transportation and coordination are expected to have the second-highest CAGR in the industry. Similarly, the Energy and Utilities vertical in the IoT analysis would have a low CAGR over the forecasted time range.

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Industry News

The major key players in the market are Amazon Web Services, Inc., Google, Inc., Microsoft Corporation, SAP SE, Oracle Corporation, IBM Corporation, Dell Technologies, Inc., Cisco Systems, Inc., HP Enterprise Company, and PTC, Inc. The market is receiving a boost as executives place a greater emphasis on cost and time, reducing the demand for continuous information, growing severe competition, increasing the use of robotization in businesses, and the introduction of trendsetting technologies.

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Killexams : Graph Database Market Trends, Size, Share, Growth, Industry Analysis, Advance Technology and Forecast 2026

"Oracle Corporation (US), IBM Corporation (US), Amazon Web Services, Inc. (US), DataStax (US), Ontotext (Bulgaria), Stardog Union (US), Hewlett Packard Enterprise (US), ArangoDB (US), Blazegraph (US), Microsoft Corporation (US), SAP SE (Germany), Teradata Corporation (US), Openlink Software (US), MarkLogic Corporation (US), TIBCO Software, Inc. (US)."

Graph Database Market by Type (RDF and LPG), Application (Fraud Detection and Prevention, and Recommendation Engine), Component (Software and Services), Deployment Mode, Vertical, and Region - Global Forecast to 2026

The global Graph Database Market size to grow from USD 1.9 billion in 2021 to USD 5.1 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 22.5% during the forecast period. Various factors such as need to incorporate real-time big data mining with visualization of results, increasing adoption for AI-based graph database tools and services to drive market, and growing demand for solutions that can process low-latency queries are expected to drive the adoption of graph database solutions and services.

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COVID-19’s global impact has shown that interconnectedness plays an important role in international cooperation. As a result, several governments started rushing toward identifying, evaluating, and procuring reliable solutions powered by AI. Graph databases and AI are invaluable to organizations managing uncertainty in real-time, but most predictive models rely on historical patterns. The use of graph database and AI has accelerated in the COVID-19 pandemic period. This has helped organizations engage customers through digital channels, manage fragile and complex supply chains, and support workers through disruption to their work and lives. New practices, such as work from home and social distancing, have led to the requirement of graph database solutions and services and the development of digital infrastructures for large-scale technology deployments. The COVID-19 pandemic in 2020 brought accelerating changes in consumer preferences and behaviors and putting pressure on brands to keep pace and provide a personalized customer experience. Enterprises have witnessed a reduction in their operational spending and are now focusing more on business continuity and sustainability.

Technology and service providers have been facing significant disruption to their businesses from COVID-19. Hence, the COVID-19 pandemic has disrupted the global financial markets and has created panic, uncertainty, and distraction in the operations of global corporations.

Scope of the Report

Report Metric

Details

Market size available for years

2015–2026

Base year considered

2020

Forecast period

2022–2026

Forecast units

 USD Million

Segments covered

Component, Deployment Mode, Organization Size, Type, Application, Vertical, and Region

Geographies covered

North America, Europe, APAC, MEA, and Latin America

Companies covered

Oracle Corporation (US), IBM Corporation (US), Amazon Web Services, Inc. (US), DataStax (US), Ontotext (Bulgaria), Stardog Union (US), Hewlett Packard Enterprise (US), ArangoDB (US), Blazegraph (US), Microsoft Corporation (US), SAP SE (Germany), Teradata Corporation (US), Openlink Software (US), MarkLogic Corporation (US), TIBCO Software, Inc. (US), Neo4j, Inc. (US), GraphBase (Australia), Cambridge Semantics (US), TigerGraph, Inc. (US), Objectivity Inc. (US), Bitnine Co, Ltd. (US), Franz Inc. (US), Redis Labs (US), Graph Story (US), Dgraph Labs (US), Eccenca (Germany), and Fluree (US).

The services segment to hold higher CAGR during the forecast period

Based on components, the graph database market is segmented into solutions and services. The services segment has been further divided into professional and managed services. These services play a vital role in the functioning of graph database solutions, as well as ensure faster and smoother implementation that maximizes the value of the enterprise investments. The growing adoption of graph database solutions is expected to boost the adoption of professional and managed services. Professional service providers have deep knowledge related to the products and enable customers to focus on the core business, while MSPs help customers Strengthen business operations and cut expenses.

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As per AWS, graph databases are purpose-built to store and navigate relationships. Relationships are first-class citizens in graph databases, and most of the value of graph databases is derived from these relationships. Graph databases use nodes to store data entities and edges to store relationships between entities. An edge always has a start node, end node, type, and direction, and an edge can describe parent-child relationships, actions, ownership, and the like. There is no limit to the number and kind of relationships a node can have.

Some of the key players operating in the graph database market includegh Oracle Corporation (US), IBM Corporation (US), Amazon Web Services, Inc. (US), DataStax (US), Ontotext (Bulgaria), Stardog Union (US), Hewlett Packard Enterprise (US), ArangoDB (US), Blazegraph (US), Microsoft Corporation (US), SAP SE (Germany), Teradata Corporation (US), Openlink Software (US), MarkLogic Corporation (US), TIBCO Software, Inc. (US), Neo4j, Inc. (US), GraphBase (Australia), Cambridge Semantics (US), TigerGraph, Inc. (US), Objectivity Inc. (US), Bitnine Co, Ltd. (US), Franz Inc. (US), Redis Labs (US), Graph Story (US), Dgraph Labs (US), Eccenca (Germany), and Fluree (US). These graph database vendors have adopted various organic and inorganic strategies to sustain their positions and increase their market shares in the global graph database market.

Oracle was incorporated in 1977 and is headquartered in California, US. The company is a global leader in delivering a broad spectrum of products, solutions, and services designed to meet the requirements of corporate IT environments, such as platforms, applications, and infrastructure. Oracle’s customers include businesses of various sizes, government agencies, educational institutions, and resellers. The company, directly and indirectly, sells its products and services through a worldwide sales force and Oracle Partner Network, respectively. It specializes in developing, manufacturing, and marketing hardware systems, databases, middleware software, and application software. It provides SaaS offerings that are designed to incorporate emerging technologies, such as IoT, AI, ML, and blockchain. It operates through three business segments: cloud and license, hardware, and services, in more than 175 countries and caters to 4,30,000 customers across banking, telecommunications, engineering and construction, financial services, healthcare, insurance, public sector, retail, and utilities verticals. Graph databases that are part of Oracles convergent database offering eliminate the requirement to set up and move data to a separate database. Analysts and developers can detect fraud in banking, discover relationships and links to data, and increase traceability in smart manufacturing, all while benefiting from enterprise-grade security, ease of data intake, and robust support for data workloads. Oracle offers Oracle Spatial and Graph in the graph database market.

IBM is a multinational technology and consulting corporation founded in the year 1911 and is headquartered in New York, US. It offers infrastructure, hosting, and consulting services and operates through five major business segments: cloud and cognitive software, global business services, global technology services, systems, and global financing. IBM’s product portfolio comprises various segments, such as IoT, analytics, security, mobile, social, and Watson. It caters to various industry verticals that include aerospace and defense, education, healthcare, oil and gas, automotive, electronics, insurance, retail and consumer products, banking and finance, energy and utilities, life sciences, telecommunications, media and entertainment, chemicals, government, manufacturing, travel and transportation, construction, and metals and mining. The company has a robust presence in the Americas, Europe, the MEA, and Asia Pacific and clients in more than 175 countries. IBM is one of the top vendors in the graph database market, owing to the strong portfolio of solutions and services that the company offers in the market. On November 27, 2017, the company announced the retirement of the IBM Graph service. This service was being replaced by Compose for JanusGraph. The graph database technology at the core of IBM Graph, Titan, evolved to JanusGraph, governed by the Linux Foundation.

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