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Killexams : IBM Security course outline - BingNews Search results Killexams : IBM Security course outline - BingNews Killexams : Software supply chain security takes center stage at Black Hat 2022

black-hat-2022-software-supply-chain-securityBlack Hat is best known for hardware and traditional software exploits, but this year it showcases more software supply chain security issues—marking the shift in the threat landscape.

Black Hat, the annual gathering of hackers and information security pros in Las Vegas, kicks off next week — the 25th such gathering. It comes after two years of COVID-inspired cancellations and delays. Over the years, Black Hat and its sister conference, DEF CON, have made headlines by showcasing high-profile exploits of hardware and software — from Cisco routers and ATMs to enterprise platforms like Oracle, SQL Server, and Active Directory. 

You can find plenty of those talks this year, also. But they will share the stage with a growing number of discussions of cyber threats, vulnerabilities and potential attacks on developers, open source modules and the underlying infrastructure supporting modern DevOps organizations. Together, the talks mark a shift in the threat landscape and the growing prominence of security threats to the software supply chain.

Here are the talks related to software development and supply chain risk, and some of the themes that emerged.

Development teams in the crosshairs

The security of tools and platforms used by DevOps organizations is a clear theme at this year’s Black Hat Briefings, with a number of talks addressing specific threats to source code management systems for both closed- and open source software. 

On Wednesday, for example, NCC Group researchers Iain Smart and Viktor Gazdag will present their talk, RCE-as-a-Service: Lessons Learned from 5 Years of Real-World CI/CD Pipeline Compromises. In the talk, the two leverage years of work testing the security of development groups within a range of organizations – from small businesses to Fortune 500 firms. 

Describing CI/CD pipelines as the “most dangerous potential attack surface of your software supply chain,” the pair will argue that these development platforms are the crown jewel in any company’s IT infrastructure, providing attackers with a way to turn tools meant to accelerate software development into a malicious “Remote Code Execution-as-a-Service” platform. The pair will also talk about the best approach for defending CI/CD pipelines from attacks and compromises. 

Also picking up the theme of “threats to DevOps environments” is the Thursday presentation by researcher Brett Hawkins of IBM X-Force. Brett will dig into the various ways that source code management (SCM) systems like GitHub Enterprise, GitLab Enterprise and Bitbucket might be attacked and compromised.

Hawkins’ talk, Controlling the Source: Abusing Source Code Management Systems, presents research that has uncovered a variety of attack scenarios that can deliver malicious actors access to SCM systems. He will also release open source tools to facilitate SCM attacks including reconnaissance, manipulation of user roles, repository takeovers, and user impersonation. Hawkins will also provide guidance on how to defend SCM systems from attack. 

Open source: risky business

Given the software industry’s heavy reliance on open source software to facilitate development, and the growing prevalence of threats and attacks via open source platforms and code, it is no surprise that open source cyber risk is another central theme at this year’s Black Hat Briefings. Data compiled by the firm Synopsys, for example, found that the average software application in 2021 depended on more than 500 open source libraries and components, up 77% in two years. Attackers have taken notice. As we have noted, there have been numerous software supply chain attacks playing to developers (and development teams) heavy reliance on open source repositories like PyPi and npm

The agenda at Black Hat picks up on this trend, with talks that explore the risks posed by open source code and propose remedies. 

For example, researchers Jonathan Leitschuh, Patrick Way and Shyam Mehta use their talk to tackle a key problem in open source security: how to scale security response to meet the challenge of massive open source platforms like GitHub. While modern tools might allow us to automate vulnerability scanning and identification, the output of such endeavors often overwhelms the mere homo sapiens who are tasked with assessing, triaging and responding to the flood of identified flaws. 

Leitschuh, Way and Mehta propose one solution: automated bulk pull request generation, as well as tools such as the Netflix developed OpenRewrite that can help security teams scale their security response. Check out their talk, Scaling the Security Researcher to Eliminate OSS Vulnerabilities Once and For All, on Thursday at 3:20 PM. 

And, as companies let AI loose on the vast repository of open source code in the hopes of developing coding bots that might one day replace developers, the presentation In Need of ‘Pair’ Review: Vulnerable Code Contributions by GitHub Copilot deserves your attention. The work of a group of researchers from NYU and the University of Calgary, the talk analyzes the output of “Copilot,” an ‘AI-based Pair Programmer’ released by GitHub in 2021.

Copilot leverages a deep learning model trained on open-source GitHub code. But, as the researchers note, much of that code “isn’t great.” And, as Microsoft learned with its AI-based chatbot for Twitter, artificial intelligence is great at absorbing input and teasing out patterns, but terrible at assessing the underlying quality of the information it is being fed.  

An analysis of Copilot code revealed a high preponderance of common flaws, among them SQL injection, buffer overflow and use-after-free vulnerabilities. In fact, of 1,689 suggestions generated across 89 different scenarios using the Copilot AI, the researchers found approximately 40% to be vulnerable.

The talk has implications for development organizations that would look to offload low-level coding work to bots, of course. But the high density of flaws in GitHub repositories is also a red flag to organizations that more scrutiny is needed to assess the quality and stability of open source components before dependencies are created, rather than after. 

Developers: the elephant in the security living room

The elephant in the living room of DevOps security is, of course, the developer themself. While Source Code Analysis tools can Improve security assessments of proprietary and open source code, and vulnerability scans can identify flaws and weaknesses in developed code, the best security “fix” comes in the form of better written, high quality code. 

That’s the subject that researcher Adam Shostack tackles in his talk A Fully Trained Jedi, You Are Not, on Wednesday, August 10 at 11:20. Shostack, an expert in threat modeling, secure development and DevOps, talks about the ‘boil the ocean’ problem that many organizations face as they try to train up developers in the intricacies of secure development without sacrificing other priorities, like developing usable code on time and on budget. 

In this talk, Shostack talks about how organizations can operationalize security training for developers. The goal is not to produce a staff of “Jedi-quality” secure developers, but to Improve the security awareness and skills of the broad population of developers, with a goal of reducing common but still prevalent security issues that plague developed applications. 

“A rebellion doesn’t run on a single Jedi,” Shostack notes. To that end, he’ll present the broad outlines of a “knowledge scaffolding and tiered approach to learning” that is scalable across development organizations. 

Keep learning

*** This is a Security Bloggers Network syndicated blog from ReversingLabs Blog authored by Paul Roberts. Read the original post at:

Wed, 03 Aug 2022 02:46:00 -0500 by Paul Roberts on August 3, 2022 en-US text/html Killexams : Buckle up for Black Hat 2022: Sessions your security team should not miss


Black Hat is set to return next week with two years of pent up cybersecurity research and discoveries. Here are the talks you don’t want to miss. 

Just because cybersecurity’s biggest conferences halted their productions these past two years, cybersecurity itself did not take a backseat. Continued advancements in the industry, plus non-stop cybercriminal activity have left the community with much to discuss as we reflect on the events that have unfolded since the start of the pandemic (think SolarWinds, Colonial Pipeline, and Log4j … just to name a few). 

After two years of cancellations and a halting return, Black Hat USA 2022 is set to return to Las Vegas next week in something close to its former glory. And with two years of pent up cybersecurity research and discoveries, there’s lots to look forward to. 

To help you plan your itinerary, we’ve compiled the Black Hat sessions we’re eager to attend, broken down by category.  


Chris Krebs: Black Hat at 25: Where Do We Go From Here?

Thursday at 9:00am

Since being unceremoniously sacked by then-President Trump for confirming that the 2020 presidential election was free of hacking incidents or tampering, Chris Krebs has been on the front lines helping private sector firms address their cyber risks, as a Founding Partner of Krebs Stamos Group (with former Facebook CISO Alex Stamos).

Krebs’ unique perspective as the Federal Government’s former top expert on cybersecurity and a highly valued private sector consultant makes his Black Hat keynote this year a “must see” event. In this talk, Krebs will reflect on where the InfoSec community stands today after convening in the desert for 25 years. His thoughts on where we stand? Not good. Krebs will outline how the industry needs to both shift its mindset and actions in order to take on the next 25 years of InfoSec. 

Kim Zetter: Pre-Stuxnet, Post-Stuxnet: everything Has Changed, Nothing Has Changed

Thursday at 9:00am

In the “deep perspective” category, Thursday’s keynote by award winning investigative cybersecurity journalist Kim Zetter is another “must see” event at Black Hat. Zetter has covered cybersecurity and national security since 1999, writing for WIRED, Politico, PC World and other publications. She is the author of Countdown to Zero Day, the definitive account of the creation of the Stuxnet malware, which was deployed against Iran. 

Zetter’s talk will focus on cyberattacks on critical infrastructure (CI) dating back to Stuxnet in 2010. Despite all of the changes in cybersecurity since Stuxnet was discovered, Zetter argues that nothing has really changed: continuous attacks on CI come as a surprise when the community should have seen these attacks coming. In this talk, Zetter will argue that attacks like Colonial Pipeline were foreseeable, and that the future’s attacks will be no different. 


With a kinetic war ravaging cities and towns in Ukraine, the specter of cyberwar has taken a back seat. But behind the scenes, offensive cyber operations have played a pivotal role in Russia’s war on Ukraine, since long before Russian troops rolled across the border this past February. This year’s Black Hat has a number of interesting talks delving into the cyber aspects of the Ukraine conflict. They include: 

Industroyer2: Sandworms Cyberwarfare Targets Ukraine’s Power Grid Again

Wednesday at 10:20am

ESET’s Robert Lipovsky and Anton Cherepanov take us on a tour of the multiple forms of cyberwarfare that have taken place throughout Russia’s military operations against Ukraine, dating back to 2016 with the launch of the original Industroyer malware. Recently, a new version of the malware was discovered, known as Industroyer2, with the same goal of triggering electricity blackouts. In this talk, the ESET researchers will deliver a technical overview of this new malware, as well as the several other wiper malwares they discovered impacting Ukraine this past year.

Real ‘Cyber War’: Espionage, DDoS, Leaks, and Wipers in the Russian Invasion of Ukraine

Wednesday at 3:20pm

Experts have been in agreement that cyber is a new threat of operation in military conflicts, but have disagreed on what form an actual cyberwar might take. Russia’s war on Ukraine is putting much of that debate to rest. In this talk, SentinelOne’s Juan Andres Guerrero-Saade and Tom Hegel will deliver an overview of what cyberwarfare really is, versus what society’s collective assumptions are about the role of cyber in modern warfare.

They will specifically discuss the strains of wiper malware that have impacted Ukraine in 2022, considering that nation-state wiper malware prior to Russia’s war on Ukraine was rare. This discussion of various strains of wiper malware will help to show what we can realistically expect from cyberwarfare in the modern era. 

Securing open source and the software supply chain

The security of software supply chains and development organizations is another dominant theme at this year’s Black Hat Briefings, with a slew of talks addressing various aspects of supply chain risk and attacks (check out our analysis of the supply chain thread at Black Hat here). If you’re interested in learning more about how malicious actors may target your organization by exploiting weaknesses in your software supply chain, here are some talks to consider: 

Don’t get owned by your dependencies: how FireFox uses in-process sandboxing to protect itself from exploitable libraries (and you can too!)

Thursday at 2:30pm

PhD Student Shravan Narayan and Research Scientist Tal Garfinkel of UC San Diego’s Black Hat talk will focus on the threat of memory safety vulnerabilities in third party C libraries, which are a major source of zero-day attacks in today’s applications. Their research team has been using Firefox to test sandbox capabilities that could mitigate this threat, which led them to create RLBox: an open source language level framework. Their presentation will discuss how they came up with this tool, and how it can be applied to other applications.  

Scaling the security researcher to eliminate OSS vulnerabilities once and for all

Thursday at 3:20pm

Moderne Inc.’s Patrick Way, plus HUMAN Security’s Jonathan Leitschuh and Shyam Mehta will present their talk on how to manage open source software (OSS) in a way that best leverages researchers’ time, knowledge, and resources. The solution they propose is bulk pull request generation, which they will demonstrate on several real-world OSS projects during their presentation. Their goal is to fix vulnerabilities on a large, reasonable scale. 

Controlling the source: abusing source code management systems

Thursday at 3:20pm

Brett Hawkins, a Red Team Operator a part of IBM X-Force Red’s Adversary Simulation will discuss an overlooked, widely-used system that threat actors can exploit to carry out software supply chain attacks: Source Code Management (SCM) systems. His presentation will demonstrate how popular SCM systems can be easily exploited by attackers. Brett will also share an open source tool and defensive guidance that can be used to mitigate this threat. 

Threat hunting

It wouldn’t be Black Hat without discussions of vulnerabilities, threats, attacks and cyber defense. And this year’s show doesn’t disappoint. One clear theme in the schedule of talks is the growing prominence of “right of boom” tools and approaches in the cybersecurity community. A number of talks delve into new approaches to Improve the quality of incident response and threat hunting. They include:  

The Open Threat Hunting Framework: Enabling Organizations to Build, Operationalize, and Scale Threat Hunting

Wednesday at 2:30pm

The definition of threat hunting, and the practical application of it, varies across industries and technologies, making it difficult to start a threat hunting program from scratch that works best for your organization. But, too often, threat hunting floats above the security “poverty line” — inaccessible to organizations without sizable information security budgets and teams.

In this presentation, John Dwyer, Neil Wyler, and Sameer Koranne of IBM Security X-Force will share a new, free threat hunting framework. The team’s hope is that this framework will help to detect incidents that can be prevented by a reliable threat hunting program. 

No One Is Entitled to Their Own Facts, Except in Cybersecurity? Presenting an Investigation Handbook To Develop a Shared Narrative of Major Cyber Incidents

Wednesday at 3:20pm

Do the stories we tell ourselves (and others) about cyber incidents affect our ability to respond to them? Of course they do! In fact, developing a shared understanding of cyber incidents is critical to making sure they don’t happen again. Fortunately, we can look to other industries for the best way to do this.

In this talk, Victoria Ontiveros, a Researcher at Harvard Kennedy School talks about the findings of a report by Harvard’s Belfer Center that looks at how the aviation industry draws lessons from aviation incidents, and applies these lessons to cybersecurity incidents. This allowed her team and Tarah Wheeler, CEO of Red Queen Dynamics, Inc to create the Major Cyber Incident Investigations Playbook. In this talk, Ontiveros and Wheeler will be presenting this playbook, which is meant to make cyber incident investigations more actionable among the industry. 

A New Trend for the Blue Team — Using a Practical Symbolic Engine to Detect Evasive Forms of Malware/Ransomware

Wednesday at 4:20pm

Blue Teams have it rough. Constrained by time, staffing and budget, they need to choose carefully when deciding which threats to investigate and how best to direct their reverse engineering talent against suspected malware or ransomware binaries, while also navigating efforts by malicious actors to misdirect or even attack them.

In this talk, TXOne Networks Inc.’s Sheng-Hao Ma, Mars Cheng, and Hank Chen will highlight the efforts of actual Blue Teams and share a new tool for the Blue Team known as the Practical Symbolic Engine, which they argue offers the best threat hunting techniques in a fully static situation. 

Come say hello to ReversingLabs at the show

The ReversingLabs team will be at Black Hat 2022. Stop at booth 2460 to chat with us. Our team will be giving out demos, presentations, plus limited-edition schwag. See you there!

Keep learning

*** This is a Security Bloggers Network syndicated blog from ReversingLabs Blog authored by Carolynn van Arsdale. Read the original post at:

Thu, 04 Aug 2022 02:38:00 -0500 by Carolynn van Arsdale on August 4, 2022 en-US text/html Killexams : Facial recognition: The tool of despair and hope

By Neil Sahota (萨冠军), an IBM Master Inventor, UN AI advisor, and Professor at UC Irvine

Every year, about 250,000 Americans find that their medical identity has been stolen. Medical identity theft is when personal information like your name, social security number or Medicare number is stolen to submit fraudulent claims on your behalf (according to the Federal Trade Commission). Sadly, the average victim in the U.S. lost over $13,500 because of fraudulent healthcare bills. Even worse, our medical information is sufficient for the thief to expand to full scale identity theft, which can affect your personal information, banking and even lead to replication. As a result, many healthcare providers are turning towards more biometric solutions by validating an individual’s identity based on physical characteristics like facial recognition, to reduce fraud, protect patient data, and safeguard their operations.

It is estimated that by 2030, the healthcare biometric market is estimated to reach $79 billion. These rapid changes in market dynamics which enhance diagnostic data, and operational opportunities, drive the emphasis on facial recognition. Consider, Apple’s Face ID is benchmarked at being twenty times more secure than its Touch ID. Our faces are substantially more unique and difficult to replicate than a fingerprint in large part because our faces have thousands more data points that machines analyze. Ultimately, this will help reduce medical identity theft, and more importantly, can also help Improve the quality of care.

Furthermore, using visual recognition to assist healthcare practitioners will act as having a set of “machine eyeballs” to help detect even minuscule items for early detection. For example, dentists leverage the technology to identify that tiny, white spot on your tongue to see if that was an accidental bite or the potential development of cancerous cells. When looking at our face as a whole, there are vast amounts of subtle tell-tale signs of other types of illness that machine learning systems can detect and flag for human review. There’s a big caveat here, though. These tools are only as good as the training we provide. A study from 2019 found that a healthcare risk-prediction algorithm used on over 200 million people in the U.S. demonstrated racial-bias because it relied on a faulty metric for determining need.  If this detection fails, this could lead to long term risks and, depending on the disease, even death.

However, this problem does have a solution: diversity. Already, developers of these AI systems are incorporating diversity in data, perspective, and thought. While there is still a lot of bias correction work to be done, initial progress has led to improved diagnostic efforts in healthcare, including recognizing how underserved communities manifest illness, both physically and mentally. Moreover, this approach is used in training facial recognition systems to find ways to turn threats into opportunities.

While many people fear being monitored by retailers, the flip side is there is great value in looking for specific people. Particularly, facial recognition has become a powerful ally in locating missing people or locating known criminals Additionally, these systems can scan for variant faces, such as a criminal in disguise or aging a missing child who has been lost for an extended period of time. For example, think back to when immigration and customs lines could take several hours to pass through. Thanks to visual recognition, many countries have shortened this time to just a handful of minutes while also increasing early detection of bad actors and threats to travelers. For just general security, people are adopting facial recognition in lieu of passwords and PIN numbers, to use an ATM or unlock their front door.

Additionally, some organizations are using visual recognition as a force for good, such as by identifying victims of child trafficking, domestic violence, or forced coercion. AI’s ability to read facial expressions, body language, and environmental context; these systems can more rapidly detect these instances, even in populated areas. Moreover, the platforms used to promote human trafficking have excelled at misinformation but the images are still based on real photographs, which has allowed the law enforcement agencies to identify and rescue these people. That’s hope for the nearly 25 million people trafficked worldwide (according to the U.S. State Department.)

Facial recognition is by no means perfect, and we still have great strides to make to reduce the implicit bias against some of the genders and ethnicities. However, there is also a great opportunity to use this technology to help these communities.

For example, consider the mortgage lending industry. There is hard evidence that there is material discrimination against people of color in qualifying for a loan and even the rate they are given. In an FSIC white paper, the authors outline the challenge but also show how AI underwriting algorithms have also been helpful to people of color by assessing them without this implicit bias. The results show that people of color are qualifying at a higher percentage and qualifying for lower rates. Likewise, we are just starting to see similar results in providing better individual medical care and, to a degree, improved personal safety.

Positively, this is just the beginning. Biometric technology, like visual recognition, holds great promise, but only if we are focusing our efforts to help the human race as a whole, which means inclusion of everyone in each community. This means we must build diverse teams to cover the socio-economic spectrum to maximize all the people who can benefit from this technology. Organizations have taken the first steps, and we must continue to build and support this mindset to reap the true benefits.

About the author

Neil Sahota (萨冠军) is an IBM Master Inventor, United Nations (UN) Artificial Intelligence (AI) Advisor, Faculty at UC Irvine, and author of Own the A.I. Revolution. With 20+ years of business experience, he works with organizations to create next generation products/solutions powered by emerging technology. His work experience spans multiple industries including legal services, healthcare, life sciences, retail, travel and transportation, energy and utilities, automotive, telecommunications, media/communication, and government. Moreover, Neil is one of the few people selected for IBM’s Corporate Service Corps leadership program that pairs leaders with NGOs to perform community-driven economic development projects. For his assignment, Neil lived and worked in Ningbo, China where he partnered with Chinese corporate CEOs to create a leadership development program.

In addition, Neil partners with entrepreneurs to define their products, establish their target markets, and structure their companies. He is a member of several investor groups like the Tech Coast Angels, advises venture capital funds like Miramar, and assists startups with investor funding. Neil also serves as a judge in various startup competitions and mentor in several incubator/accelerator programs. He actively pursues social good and volunteers with nonprofits. He is currently helping the Zero Abuse Project prevent child sexual abuse as well as Planet Home to engage youth culture in sustainability initiatives.

DISCLAIMER: Biometric Update’s Industry Insights are submitted content. The views expressed in this post are that of the author, and don’t necessarily reflect the views of Biometric Update.

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Mon, 25 Jul 2022 10:20:00 -0500 en-US text/html
Killexams : Securing empty premises: Product performance is everything No result found, try new keyword!Below we outline key considerations when ... At a minimum, ensure the integrator can set and change security device IP addresses and port locations. Certifications from providers such as Cisco, ... Wed, 27 Jan 2021 11:14:00 -0600 text/html Killexams : Industrial Cybersecurity Market 2022 Reach Huge Growth And Tremendous Demand In Next Coming Years By 2030

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

Aug 01, 2022 (Alliance News via COMTEX) -- Key Companies Covered in the Industrial Cybersecurity Research are IBM, Honeywell, ABB, Cisco, Schneider Electric, McAfee, Siemens, Dell, Symantec, Rockwell, Kaspersky Lab, Startup Ecosystem and other key market players.

The global Industrial Cybersecurity market size will reach USD million in 2030, growing at a CAGR of % during the analysis period.

As the global economy recovers in 2021 and the supply of the industrial chain improves, the Industrial Cybersecurity market will undergo major changes. The latest research shows that the Industrial Cybersecurity industry market size will be million US dollars in 2021, and will grow to million US dollars in 2028, with an average annual growth rate of %.

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Sun, 31 Jul 2022 21:33:00 -0500 en-US text/html
Killexams : IDX Complete Review Tue, 12 Jul 2022 15:00:00 -0500 en text/html Killexams : Cloud Data Security Software Market Size, Share, Service Technology, Future Trends and Forecast 2028

The “Cloud Data Security Software Market Industry Research Report” assists with communicating with significant patterns, gaining knowledge into customer conduct, and using perceptions to perform powerful contender investigations. Instead of adding floods of unstable data to a static calculation sheet, a full market research report on Cloud Data Security Software market brings the discoveries of market-driven examination to life, giving clients a data investigation instrument to foster significant techniques in light of an assortment of purchaser driven bits of knowledge. Quite possibly the greatest test Cloud Data Security Software market faces is the developing abilities hole. In this Cloud Data Security Software market research report, we consider what difficulties are being looked at by the present marketers, and what might this do for them to perceive and conquer them. The Cloud Data Security Software market area is likewise acclimated with changing and defeating snags. Over the course of the following 10 years, associations that will deal with these difficulties directly won’t just get by however flourish.

The Cloud Data Security Software Market Research report offers a market investigation of the Cloud Data Security Software enterprises’ clients, rivals, and other market factors. This report additionally assesses the size of the market both in volume and worth. The Cloud Data Security Software Research report makes sense of contenders’ situations which implies how a marketing group can separate an organization from its rivals. The report analyzes the Cloud Data Security Software Market from 2022 to 2028, as well as the estimated period from 2022 to 2028. The report inspects the market for Cloud Data Security Software by item type. The COVID-19 pandemic fundamentally affects generally worldwide economies in different areas. It altogether affected the Cloud Data Security Software industry, making most organizations change and realign their tasks because of the episode. The pandemic straightforwardly affected organization incomes, yet it additionally influenced general advancement timetables for most Cloud Data Security Software organizations, influencing long haul procedures and income conjectures.

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Cloud Data Security Software Market report likewise gives a careful comprehension of the state of the art serious examination of the developing market patterns alongside the drivers, limitations, difficulties, and open doors in the Cloud Data Security Software Market to offer beneficial experiences and momentum for going with the right choice. The Cloud Data Security Software report covers the conspicuous players in the market with nitty gritty SWOT examination, monetary outline, and key improvements of the items/administrations from the beyond three years. . Besides, the Cloud Data Security Software report likewise offers a 360º viewpoint of the market through the cutthroat scene of the worldwide Cloud Data Security Software industry player and assists the organizations with gathering Cloud Data Security Software Market income by understanding the essential development draws near. Worldwide Analysis to 2022 is a selective and top to bottom review which gives a complete perspective on the Cloud Data Security Software market incorporating the latest thing and future sufficiency of the market regarding the items/administrations. The Cloud Data Security Software report gives an outline of the Cloud Data Security Software Market with the itemized division by type, application, and locale through top to bottom foothold examination of the generally speaking augmented experience industry. This Cloud Data Security Software report gives qualified research on the Cloud Data Security Software market to assess the vital participants by aligning every one of the significant items/administrations to comprehend the situation of the key part in Cloud Data Security Software Market.

The overall Cloud Data Security Software Market is sorted on Component, Deployment, Application, and Region.

The Cloud Data Security Software Market Analysis by types is fragmented into:

On-reason and Cloud-based

The Cloud Data Security Software Market Industry Research by Application is sectioned into:

Individual, Enterprise and Others

The major local markets (North America: United States, Canada, Europe: Germany, France, U.K., Italy, Russia, Asia-Pacific: China, Japan, South, India, Australia, China, Indonesia, Thailand, Malaysia, Latin America: Mexico, Brazil, Argentina, Colombia, Middle East and Africa: Turkey, Saudi, Arabia, UAE, Korea) have been considered, as well as the nations of the United States, Germany, and China. Market elements, for example, development drivers, market patterns, and difficulties are entirely analyzed.

The top rivals in the Cloud Data Security Software Market, as featured in the report, are:

Google, Aptible, IBM, Amazon Web Services, Duo, TitanHQ, Microsoft, ManagedMethods, OmniNet, Datasparc, Symantec, Trend Micro, CloudCheckr, Check Point Software Technologies.

If you need anything more than these then let us know and we will prepare the report according to your requirement.

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Table of Contents:
1. Cloud Data Security Software Market Overview
2. Impact on Cloud Data Security Software Market Industry
3. Cloud Data Security Software Market Competition
4. Cloud Data Security Software Market Production, Revenue by Region
5. Cloud Data Security Software Market Supply, Consumption, Export and Import by Region
6. Cloud Data Security Software Market Production, Revenue, Price Trend by Type
7. Cloud Data Security Software Market Analysis by Application
8. Cloud Data Security Software Market Manufacturing Cost Analysis
9. Internal Chain, Sourcing Strategy and Downstream Buyers
10. Marketing Strategy Analysis, Distributors/Traders
11. Market Effect Factors Analysis
12. Cloud Data Security Software Market Forecast (2022-2028)
13. Appendix

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Fri, 22 Jul 2022 00:40:00 -0500 Newsmantraa en-US text/html
Killexams : Around the 412: Training camp! Killexams : Pittsburgh Steelers, Penguins, Pirates News, Live Coverage | DK Pittsburgh Sports Tue, 26 Jul 2022 12:00:00 -0500 en text/html Killexams : What Can Real-Time Data Analytics Do for Higher Education?

Universities are improving their data analytics programs using real-time dashboards that gather and update student data profiles using multiple data points, from financial information to academic performance, to help advisers and faculty provide better support to students. 

Some institutions are already experimenting with real-time data collection tools

At the Worcester Polytechnic Institute, a team of researchers and computer science students are working on an event trends tool they call SETA (scalable event trend analytics), which can find and analyze patterns within high-volume data streams to make decisions on the fly.

These tools have incredible implications for higher education, from campus network management to fast-action security protocols to student safety and academic success


What Is Real-Time Data Analytics?

Real-time data is information that is collected and immediately disseminated. Instead of collecting a bank of information and then processing it for analysis, the data is pushed out, cleaned and analyzed almost instantly. 

Much of the time, real-time data analytics is conducted through edge computing. By analyzing as close to the data source as possible, users can reduce latency, receiving information and making subsequent decisions more quickly. 

How Predictive Analytics Helps Universities Reach Their Goals

Universities use a number of data analytics models; one of the most common is to use predictive analytics modules to drive decision-making

Predictive analytics use historical data, collected over long periods of time, to inform future choices. Universities can use predictive analytics models to help with several agendas, from improving recruitment and retention to meeting students’ needs

Combined with real-time data analytics, predictive models can use stream processing to calculate what might happen in the future, but at a faster pace.

At the University of Central Florida, for example, administrators are collaborating with Microsoft to use predictive data analytics to understand trends in student and faculty success, university research and alumni donations. 

Using data dashboards, UCF can use data points collected in real time to help students who are displaying patterns that show they are struggling academically, Improve professors’ curricula and more effectively collect money for new campus initiatives and scholarships.

At the University of Alabama, the use of predictive analytics found that students who asked for copies of their transcripts might be at risk of leaving the university. Now, administrators can note when a student puts in such a request and offer academic and campus resources to encourage those students to stay. 

MORE FROM EDTECH: Check out how your university can ensure data quality through a comprehensive data governance program.

Predictive and Prescriptive Analytics Improve with Real-Time Data

Predictive analytics has been a boon for universities; however, the process requires a data collection period that colleges may not have time for. If an institution decides to begin a predictive analytics program, what happens to the students enrolled during the project’s first year? Will their experiences be distilled down to data points used to help the next wave of students?

Real-time data analytics can be used for prescriptive as well as predictive analytics, allowing universities to collect and analyze data collected and distributed in real time using continuous assessments.

As TechRepublic reports, “Prescriptive analytics is less fortune teller and more medical doctor. Instead of simply predicting what will happen, prescriptive analysis tweaks certain variables to achieve the best possible outcome, and then prescribes that course of action.” 

While predictive analytics outlines what is likely to happen in the future, prescriptive analytics show how universities can make something happen now. For example, universities can use an online program to measure a student’s engagement with a specific course. As the student’s interactions with the program progress, that data is processed and evaluated. 

“Much like an advisor, the system then recommends an adjustment to the student’s learning path,” Jim Milton, CEO of Campus Management, writes for Forbes. “By collecting, aggregating and analyzing data points across students’ interactions and outcomes, the system prescribes a customized course of action for advisors or faculty that is most likely to help individual students achieve optimal results.” 

While prescriptive analytics is helpful, it is best used in tandem with predictive analytics, not instead of it, according to IBM. Each offers different insights that can be useful to universities pursuing an overall goal.

MORE FROM EDTECH: See how one university used data analytics to cut failure rates in half.

Universities Use Real-Time Data Analytics for Various Wins

Real-time data processing applications have opened the door for analytics on college campuses.

At Dartmouth College, IT teams use real-time data collection tools to inform instructional design. Through real-time analytics applications, teams can study metrics including attrition rates, course enrollment sizes and student performance to redesign courses based on students’ needs. 

“Data transparency is a better path to advancing student learning at the institutional level than coming up with shared team goals or visions,” Joshua Kim, director of digital learning at the Dartmouth Center for the Advancement of Learning, writes. “Make the data available, and let the work follow where the data leads.”

At the University of Connecticut, Splunk’s real-time analytics tools are put into the hands of students themselves, helping them monitor data collected from a local aquaponics farm.

“When we built out the aquaponics system, students had to write down data onto a notepad,” writes Jonathan Moore, MIS program director at the University of Connecticut School of Business, in a Splunk blog post. “Now, armed with a tablet, students visit each station at the farm and see augmented data dashboards of all of their required metrics in real time.”

Universities are still just scratching the surface of what’s possible with real-time data processing. As data collection tools advance and machine learning tools become more prevalent, universities can expect real-time data analytics to become a permanent fixture on campus.

Thu, 29 Aug 2019 19:29:00 -0500 Eli Zimmerman en text/html
Killexams : What recession? Tech spending stays robust as digital transformation plans forge ahead

In announcing second-quarter earnings on July 18, IBM Corp. Chief Executive Arvind Krishna commented that his business is not only not showing any signs of suffering from recessionary pressures but may actually be benefiting from them.

“We see technology as deflationary,” he said. “It acts as a counterbalance to all of the inflation and labor demographics people are facing all over the globe.”

If current trends are any indication, Krishna is onto something. Amid growing fears of an economic downturn, enterprises are mostly staying the course with overall information technology spending and even increasing investments in digital transformation-related areas such as cloud migration and software as a service.

That’s a break from the past. IT budgets have historically tracked business cycles because the principal use of IT systems was to process transactions. When the volume of business fell, so did technology budgets.

But analysts who track spending patterns say this year is different. The move to cloud platforms and remote work that was accelerated by the COVID-19 pandemic demonstrated such a strong return on investment that organizations are holding the line on tech spending with expectations that further efficiencies can be gained.

Post-‘as-a-service’ recession

“This is the first post-‘as-a-service’ recession,” said Philip Carter, a group vice president at International Data Corp. “IT has moved from being capital to an operating expense. The [traditional spending] lumpiness isn’t completely removed but it’s much less of a factor.”

Fears of a recession are growing amid higher inflation, supply chain problems and disruptions triggered by Russia’s invasion of Ukraine. TD Securities USA LLC recently said there is a better than 50% chance of a U.S. recession within the next 18 months. Economists polled by Reuters rated the likelihood at 40% over the next year.

A accurate IDC quick poll of chief information officers found that 80% expect a recession to arrive within the next 12 months and most believe it will last about a year, Carter said. The good news is that nearly three-quarters believe the downturn will be moderate.

Business as usual

IT budgets typically ebb and flow with the economy, but something is different this time. “It’s business as usual from a CIO spending and tech vendor revenue perspective,” said John-David Lovelock, research vice president at Gartner Inc.

Gartner’s latest forecast sees 3% growth in IT spending in 2022, down only slightly from the 4% forecast at the beginning of this year. And some line items are actually growing. The research firm sees spending on data center systems growing 11.1% this year, up from 6.4% growth last year. Software expenditures are expected to rise 9.6% and next year by 12% more.

What drags down the total is an anticipated 5% drop in spending on personal computers, printers and other consumer devices. Businesses “did a massive refresh in 2020 for work-from-home, so this year when inflation started to bite, they stuck their hands back in the pocket and paused,” Lovelock said.

Other forecasters have recently published similar figures. Forrester Research Inc. expects technology budgets at U.S. companies to grow 6.7% this year, virtually unchanged from its expectations more than a year ago.

“We see the recession as an opportunity for firms to go on the offensive rather than the defensive with their technology investments,” said Christopher P. Gilchrist, a Forrester principal analyst. “This means refocusing strategy to where value can be extended and expanded, not where costs can be limited.”

IDC expects overall IT spending to “modestly exceed GDP growth,” but notes that strong growth in enterprise systems and software is masked by a slowdown in spending on end-user computing devices. “Exclusive of devices, growth will be nearly three times GDP growth,” Carter said.

Enterprise Technology Research expects total IT spending to grow 6.6% the year, down from the 8.3% rate it forecast at the end of last year but more optimistic than most.

Out of the back office

Analysts attribute the resilience of IT budgets to three factors, of which the most significant is that organizations are now looking at technology as a source of competitive advantage rather than a back-office function.

“IT is no longer considered a cost center,” said Gartner’s Lovelock. “It is crucial to operations and customer relationships. Digital business transformation is the number one thing happening in IT right now and you can’t cut your way to it.”

A survey of more than 2,900 IT decision-makers by colocation vendor Equinix Inc. provides clues about where the dollars are going. Despite the economic uncertainty, 72% of executives said their companies are planning to expand into new geographies, supported by digital technologies.

Asked about the priorities for their technology investments, five of the top seven respondents cited tech that relates to transformative areas such as future-proofing the business, improving customer experience, accelerating innovation, improving the employee experience and digitizing the business.

More than 70% said they’re moving more functions to the cloud and 52% agreed that “our IT strategy has become more aggressive and ambitious as a result of the COVID-19 pandemic,” compared with 28% who disagreed.

“Discretionary spending such as proof-of-concept tests…could get pushed back, but businesses see more value than ever in tech that will enhance the customer experience and deliver them an edge in an increasingly tight market,” The Wall Street Journal reported last month.

Forrester’s Gilchrist suggested the experience of previous recessions may have finally convinced executives that downturns are the best time to ramp up investments that can separate companies from their competitors. “Even when organizational budgets began to contract during the pandemic, IT spending expanded in the aggregate,” he said. “This phenomenon was a materialization of how IT cost structures have evolved over the past decade.”

That’s the case at Detroit-based Rocket Mortgage LLC.  “The message I hear from most of my business partners is look, this is going to be a rough year but recessions are the time to lean in,” CIO Brian Woodring told The Wall Street Journal.

At age 24, Iddo Gino has never managed a business through a recession, but the CEO of RapidAPI, which is the business name of R Software Inc., said he learned something from temporary recession caused by COVID in 2020. “It served as a cautionary tale against overreacting,” he said. “We froze hiring and marketing spend for six months. That was followed by two of the best years we’ve ever had.”

Democratized spending

The second factor is that IT spending is harder to pinpoint and manage than it was just a few years ago. A accurate Gartner report asserted that line-of-business leaders in the average enterprise now spend more on transformative IT projects than the IT organization. As department heads have shouldered responsibility for the cloud software they now rely upon, budget mandates have become harder to enforce.

“Customer experience is coming from marketing and the ‘internet of things’ from the factory,” Carter said. “Digital transformation is much less of an IT budget discussion than a C-suite budget discussion.”

The third factor is that IT budgets are simply becoming harder to cut. The costs of maintaining and administering data centers and enterprise software constitute as much as 80% of the IT budget at large organizations, and shifting operations to the cloud has been shown to yield only modest savings.

“IT is so efficient and so necessary that there’s no fat left to cut,” said Gartner’s Lovelock.

A worsening skills shortage has driven up salaries and spending just to keep basic services in operation. “We have 200 open positions in the IT department globally and we can’t fill them,” the CIO at a multinational consumer packaged goods manufacturer told IDC.

The degree to which IT spending continues to hold up has become more evident this week as bellwether companies such as Microsoft Corp. and Alphabet Inc. report quarterly earnings that somewhat exceeded expectations, particularly thanks to continued high spending on cloud computing. IBM’s Krishna described the company’s pipeline as “pretty healthy,” and SAP SE attributed the better-than-expected results it reported recently to strength in its cloud business.

Although there’s a reason for optimism, the full extent of any potential recession is still unclear and plans could change. “When revenue falls and the wealth of executives evaporates as stock prices follow, how many of those surveyed will still talk a good digital game about the next best thing?” asked InfoWorld columnist David Linthicum earlier this month. “I hope priorities don’t change when everyone finds out what a hard slog digital transformation will be.”

Image: Mediamodifier/Pixabay

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Wed, 27 Jul 2022 08:59:00 -0500 en-US text/html
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