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Exam Code: 77-427 Practice exam 2022 by team
77-427 Excel 2013 Expert Part One

Manage and share workbooks
Manage workbook changes
Track changes, manage comments, identify errors, troubleshoot with tracing, display all changes, retain all changes
Apply custom formats and layouts
Apply advanced conditional formatting and filtering
Write custom conditional formats, use functions to format cells, create advanced filters, manage conditional formatting rules
Prepare a workbook for internationalization and accessibility
Modify tab order among workbook elements and objects, display data in multiple international formats, modify worksheets for use with accessibility tools, utilize international symbols, manage multiple options for +Body and +Heading fonts
Create advanced formulas
Look up data with functions
Utilize the LOOKUP function, utilize the VLOOKUP function, utilize the HLOOKUP function, utilize the TRANSPOSE function
Apply advanced date and time functions
Utilize the NOW and TODAY functions, use functions to serialize dates and times
Create advanced charts and tables
Create advanced chart elements
Add trendlines to charts, create dual axis charts, create custom chart templates, view chart animations
Create and manage PivotTables
Create new PivotTables, modify field selections and options, create a slicer, group records, utilize calculated fields, format data, utilize PowerPivot, manage relationships

Excel 2013 Expert Part One
Microsoft Expert study help
Killexams : Microsoft Expert study help - BingNews Search results Killexams : Microsoft Expert study help - BingNews Killexams : How Microsoft computer scientists and researchers are working to ‘solve‘ cancer

t Microsoft’s research labs around the world, computer scientists, programmers, engineers and other experts are trying to crack some of the computer industry’s toughest problems, from system design and security to quantum computing and data visualization.

A subset of those scientists, engineers and programmers have a different goal: They’re trying to use computer science to solve one of the most complex and deadly challenges humans face: Cancer.

And, for the most part, they are doing so with algorithms and computers instead of test tubes and beakers.

“We are trying to change the way research is done on a daily basis in biology,” said Jasmin Fisher, a biologist by training who works in the programming principles and tools group in Microsoft’s Cambridge, U.K., lab.

One team of researchers is using machine learning and natural language processing to help the world’s leading oncologists figure out the most effective, individualized cancer treatment for their patients, by providing an intuitive way to sort through all the research data available.

Another is pairing machine learning with computer vision to supply radiologists a more detailed understanding of how their patients’ tumors are progressing.

Yet another group of researchers has created powerful algorithms that help scientists understand how cancers develop and what treatments will work best to fight them.

And another team is working on moonshot efforts that could one day allow scientists to program cells to fight diseases, including cancer.

Two core computer science approaches

Although the individual projects vary widely, Microsoft’s overarching philosophy toward solving cancer focuses on two basic approaches, said Jeannette M. Wing, Microsoft’s corporate vice president in charge of the company’s basic research labs.

One approach is rooted in the idea that cancer and other biological processes are information processing systems. Using that approach the tools that are used to model and reason about computational processes – such as programming languages, compilers and model checkers – are used to model and reason about biological processes.

The other approach is more data-driven. It’s based on the idea that researchers can apply techniques such as machine learning to the plethora of biological data that has suddenly become available, and use those sophisticated analysis tools to better understand and treat cancer.

Both approaches share some common ground – including the core philosophy that success depends on both biologists and computer scientists bringing their expertise to the problem.

“The collaboration between biologists and computer scientists is actually key to making this work,” Wing said.

Wing said Microsoft has good reason to make broad, bold investments in using computer science to tackle cancer. For one, it’s in keeping with the company’s core mission.

“If you talk about empowering every person and organization to achieve more, this is step one in that journey,” she said.

Beyond that, she said, Microsoft’s extensive investment in cloud computing is a natural fit for a field that needs plenty of computing power to solve big problems.

Longer term, she said, it makes sense for Microsoft to invest in ways it can provide tools to customers no matter what computing platform they choose – even if, one day, that platform is a living cell.

“If the computers of the future are not going to be made just in silicon but might be made in living matter, it behooves us to make sure we understand what it means to program on those computers,” she said.

Organizing knowledge to find better treatment

The research teams’ efforts also come amid major breakthroughs in understanding the role genetics plays in both getting and treating cancer. That, in turn, is spurring an even stronger focus on treating each cancer case in a personalized way, sometimes called precision medicine.

“We’re in a revolution with respect to cancer treatment,” said David Heckerman, a distinguished scientist and senior director of the genomics group at Microsoft. “Even 10 years ago people thought that you treat the tissue: You have brain cancer, you get brain cancer treatment. You have lung cancer, you get lung cancer treatment. Now, we know it’s just as, if not more, important to treat the genomics of the cancer, e.g. which genes have gone bad in the genome.”

That research has been helped along by accurate advances in the ability to more easily and affordably map the human genome and other genetic material. That’s giving scientists a wealth of information for understanding cancer and developing more personalized and effective treatments – but the sheer amount of data also presents plenty of challenges.

“We’ve reached the point where we are drowning in information. We can measure so much, and because we can, we do,” Fisher said. “How do you take that information and turn that into knowledge? That’s a different story. There’s a huge leap here between information and data, and knowledge and understanding.”

Researchers say that’s an area where computer scientists can best help the biological sciences. Some of the most promising approaches involve using a branch of artificial intelligence called machine learning to automatically do the legwork that can make precision medicine unwieldy.

In a more basic scenario, a machine learning system can do things like identify a cat in a photo based on previous pictures of cats it has seen. In the field of cancer research, these techniques are being deployed to sort and organize millions of pieces of research and medical data.

“These are our fortes, artificial intelligence and machine learning,” said Hoifung Poon, a researcher in Microsoft’s Redmond, Washington, lab who is using a technique called machine studying to help oncologists find the latest information about effective cancer treatments for individual patients.

Another big advantage: cloud computing. Using tools like the Azure cloud computing platform, researchers are able to provide biologists with these kinds of approaches even if the medical experts don’t have their own powerful computers, by hosting the tools in the cloud for anyone to access over the internet.

Microsoft researchers say the company also is well-positioned to lead computing cancer efforts because of its long history as a software company providing a platform other people can build from and expand on.

We’re in a revolution with respect to cancer treatment

- David Heckerman, Microsoft

“If you look at the combination of things that Microsoft does really well, then it makes perfect sense for Microsoft to be in this industry,” said Andrew Phillips, who heads the biological computation research group at Microsoft’s Cambridge, U.K., lab.

In his field specifically, Phillips said researchers benefit from Microsoft’s history as a software innovator.

“We can use methods that we’ve developed for programming computers to program biology, and then unlock even more applications and even better treatments,” he said.

Of course, none of these tools will help fight cancer and save lives unless they are accessible and understandable to biologists, oncologists and other cancer researchers.

Microsoft researchers say they have taken great pains to make their systems easy to use, even for people without any background – or particular interest – in technology and computer science. That includes everything from learning to speak the language of doctors and biologists to designing computer-based tools that mimic the systems people use in their labs.

“We are always talking about building tools that help the doctors,” said Aditya Nori, a senior researcher who specializes in programming languages and machine learning and is working on systems to assess tumor changes.

asmin Fisher doesn’t want to cure cancer. She wants to solve it — and she believes it’s possible in her lifetime.

“I’m not saying that cancer will cease to exist,” said Fisher, a senior researcher in the programming principles and tools group in Microsoft’s Cambridge, U.K., research lab and an associate professor in the biochemistry department at Cambridge University. “But once you manage it – once you know how to control it – it’s a solved problem.”

To do that, Fisher and her team believe you need to use technology to understand cancer – or, more specifically, the biological processes that cause a cell to turn cancerous. Then, once you understand where the problem occurred, you need to figure out how to fix it.

Fisher takes the computational approach to cancer research. She thinks of it like computer scientists think about computer programs. Her goal is to understand the program, or set of instructions, that causes a cell to execute its commands, or behave in a certain way. Once you can build a computer program that describes the healthy behavior of a cell, and compare it to that of a diseased cell, you can figure out a way that the unhealthy behavior can be fixed.

“If you can figure out how to build these programs, and then you can debug them, it’s a solved problem,” she said.

Bio Model Analyzer

That sounds simple enough – but, of course, actually getting there is quite complicated.

One approach Fisher and her team are taking is called Bio Model Analyzer, or BMA for short. It’s a cloud-based tool that allows biologists to model how cells interact and communicate with each other, and the connections they make.

The system creates a computerized model that compares the biological processes of a healthy cell with the abnormal processes that occur when disease strikes. That, in turn, could allow scientists to see the interactions between the millions of genes and proteins in the human body that lead to cancer, and to quickly devise the best, least harmful way to provide personalized treatment for that patient.

Bio Model Analyzer

“I use BMA to understand cancers – understand the process of becoming cancers, understand the communications that are going on,” said Ben Hall, a Royal Society University Research Fellow in Cambridge, U.K., who works with Fisher on the project.

Hall said BMA has many uses, including figuring out how to detect cancer earlier and understanding how better to treat cancer by modeling which medicines will be most effective and at what point the cancer might become resistant to them.

Here’s one way BMA might work: Let’s say a patient has a rare and often fatal form of brain cancer. Using BMA, clinicians could enter all the biological information about that patient into the system. Then, they could use the system to run all sorts of experiments, comparing the cancer patient’s information with that of a healthy patient, for example, or simulating how the patient’s system might respond to various medications.

That kind of computation would be impossible for a person to do using pen and paper, or even a simpler computer program, because there are so many variables within the millions of molecules, proteins and genes that are working together in the human body. To create the kinds of solutions that Fisher envisions, you need powerful computational models that are capable of building these immensely complex models and running through possible solutions for abnormalities.

The ability to run these types of experiments “in silico” – or using computers – instead of with pen and paper or test tube and beaker also allows the researchers to quickly test many more possibilities. That, in turn, is giving them a better understanding about how cancers develop, evolve and interact with the rest of the body.

“I think it will accelerate research because we are able to test so many more possibilities than we possibly could in the laboratory,” said Jonathan Dry, a principal scientist at the pharmaceutical company AstraZeneca whose team collaborated with Fisher’s team.

In the past, Dry said, the sheer difficulty of testing any hypothesis meant that researchers had to focus on their favorite ones, making educated guesses as to what might be most promising. A system such as BMA allows them to try out all sorts of ideas, which makes it more likely they will hit on the correct ones – and less likely they’ll miss the dark horse candidates.

“If we had to go in and experimentally test each hypothesis, it would be nigh on impossible,” Dry said. “These models supply us a sense, really, of all the possibilities.”

Improving and personalizing cancer treatment

Microsoft and AstraZeneca have been using BMA to better understand drug interactions and resistance in patients with a certain type of leukemia. With BMA, the two research teams were able to better understand why various patients responded differently to certain treatments.

Dry said BMA holds huge promise for more personalized approaches to cancer treatment, or precision medicine. The researchers are hoping that a system like BMA could eventually allow researchers and oncologists to look in detail at a person’s cancer case and also run tests that consider other factors that could impact treatment, such as whether the patient has another illness or is taking non-cancer medications that might interact with the cancer drugs.

A more personalized approach

“It really recognizes that every patient is an individual and there can be vast heterogeneity,” Dry said.

A computer science system that makes sense to a biologist

Fisher believes that systems such as BMA have the possibility to revolutionize how cancer is understood, but success is only possible if the biologists feel comfortable using them.

David Benque, a designer who has worked extensively on BMA, said the system was built to be as familiar and understandable to biologists as possible. Benque worked for years to create tools that visually mimic what scientists might use in a lab, using language biologists could understand.

Fisher said it’s imperative that systems like this be “biologist friendly.” Otherwise, she said, the breakthroughs needed to solve cancer just won’t happen.

“Everyone realizes that there is a need for computing in cancer research. It’s one thing to understand that, and it’s another thing to convince a clinician to actually use these tools,” she said.

Killexams : MSS - Program

f you’re a developer creating a new piece of software, chances are you’ll write your code in what computer scientists like to call a principled way: by using a programming language and other formal processes to create a system that follows computing rules.

Neil Dalchau wants to do the same thing for biology. He’s part of a team that is trying to do computing in cells instead of on silicon.

“If you can do computing with biological systems, then you can transfer what we’ve learned in traditional computing into medical or biotechnology applications,” said Dalchau, a scientist in the biological computation research group at Microsoft’s Cambridge, U.K., lab.

The ultimate goal of this computational approach: to program biology like we program computers. That’s a breakthrough that would open all sorts of possibilities for everything from treating diseases to feeding the world with more efficient crops.

“All aspects of our daily lives will be affected,” said Andrew Phillips, who heads the Biological Computation Research Group.

Phillips said one approach is to create a kind of molecular computer that you would put inside a cell to monitor for disease. If the sensor detected a disease, it would actuate a response to fight it.

That’s a stark improvement over many current cancer treatments, which end up destroying healthy cells in the process of fighting the cancerous ones.

Early, but promising, steps

Phillips cautions that computer scientists are still in the very early stages of this research and those kinds of long-term goals remain far off.

“It’s an ultimate application,” he said.

One big and obvious challenge is that biological systems – including our bodies — are much more mysterious than the hardware – computers – we created to run software.

“We built the computer. We know how it works. We didn’t build the cell, and many of its complex internal workings remain a mystery to us. So we need to understand how the cell computes in order to program it,” Phillips said. “We need to develop the methods and software for analyzing and programming cells.”

Take cancer, for example. Sara-Jane Dunn, a scientist who also is working in the biological computation group, said you can think of cancer as a biological program gone wrong – a healthy cell that has a bug that caused it to glitch. And by the same token, she noted, you can think of the immune system as the machinery that has the ability to fix some, but not all, bugs.

Scientists have learned so much about what causes cancer and what activates the immune system, but Dunn said it’s still early days, and there is still much more work to be done. If her team gets to a point where they understand those systems as well as we understand how to make Microsoft Word run on a PC, they might be able to equip the immune system to mount a powerful response to cancer on its own.

“If we want to be able to program biology, then we actually need to be able to understand what it is biology computes in the first place,” she said. “That is where I think we can have some major impacts.”

Is the ability to program biology like we program computers a moonshot effort? Phillips believes it is an ambitious, long-term goal – but he sees a path to success.

“Like the moonshot, we know that this is technically possible,” he said. “Now it's a matter of making it a reality.”

illions of people worldwide will be diagnosed with cancer this year. For a select few, experts from leading cancer institutions will gather at what are called molecular tumor boards, to review that patient’s individual history and come up with the best, personalized treatment plan based on their cancer diagnosis and genetic makeup.

Hoifung Poon wants to democratize the molecular tumor board, and he’s working with a team of researchers on a tool to do it.

It’s called Project Hanover. It’s a data-driven approach that uses a branch of artificial intelligence called machine learning to automatically do the legwork that makes it so difficult for cancer experts to evaluate every case individually.

“We understand that cancer is often not caused by a single mutation. Instead, it stems from complex interactions of lots of different mutations, which means that you need to pretty much look at everything you know about the genome,” Poon said.

To do that can require sifting through millions of pieces of fragmented information to find all the common ground applicable to this one person and this one cancer case. For a busy oncologist managing many patients, that simply isn’t possible.

That’s why the Microsoft researchers are working on a system that could augment how doctors approach the task today. The system is designed to automatically sort through all that fragmented information to find the most relevant pieces of data – leaving tumor experts with more time to use their expertise to figure out the best treatment plan for patients.

The ultimate goal is to help doctors do all that research, and then to present an Microsoft Azure cloud computing-based tool that lets doctors model what treatments would work best based on the information they have gathered.

“If we can use this knowledge base to present the research results most relevant for each specific patient, then a regular oncologist can take a look and make the best decision,” said Ravi Pandya, a principal software architect at Microsoft who also is working on Project Hanover.

Finding a needle in a haystack with Literome

Project Hanover began with a tool called Literome, a cloud computing-based system that sorts through millions of research papers to look for the genomic research that might be applicable to an individual disease diagnosis.

That’s a task that would be hard for oncologists to do on their own because of sheer volume, and it’s made more complicated by the fact that researchers aren’t always consistent in how they describe their work. That means several research papers focusing on the same genetic information may not have much overlap in language.

“The problem is that people are so creative in figuring out a different way to say the same thing,” Poon said.

To build Literome, Poon and his colleagues used machine learning to develop natural language processing tools that require only a small amount of available knowledge to create a sophisticated model for finding those different descriptions of similar knowledge.

Now, the tool is being expanded to also look at experiments and other sources of information that might be helpful.

Poon’s team also is working with the Knight Cancer Institute at Oregon Health and Science University to help their researchers find better ways to fight a complex and often deadly form of cancer called acute myeloid leukemia.

Brian Druker, the director of the Knight Cancer Institute, said a person with this form of cancer may actually be fighting three or four types of leukemia. That’s made it extremely difficult to figure out the right medicine to use and whether a patient will develop resistance to the treatment.

“It was clear we needed incredibly sophisticated computational efforts to try to digest all the data we were generating and to try to make sense of it,” said Druker, whose previous research led to vastly improved life expectancies for patients with chronic myeloid leukemia.

Druker thinks of this kind of collaboration as a two-way dialogue: His team of experts can provide the hypotheses that help the computer scientists know what to look for in the data. The computer scientists, in turn, can do the analysis needed to help them prove or disprove their hypotheses.

That can then help them more quickly develop the needed treatments and therapies.

“I’ve always believed that the data is trying to tell us what the answer is, but we need to know how to listen to it,” he said. “That’s where the computation comes in.”

I’ve always believed that the data is trying to tell us what the answer is, but we need to know how to listen to it. That’s where the computation comes in.

– Brian Druker, Knight Cancer Institute

Druker believes we are just at the beginning of understanding how data can help inform cancer research. In addition to genomic data, he said, researchers also should start looking at what he calls the other “omics,” including proteomics, or the study or proteins, and metabolomics, or the study of chemical processes involving metabolites.

“We’re going to have get beyond the genome,” he said. “The genome is telling us a lot, but it’s not telling us everything.”

Poon said they are still in the early stages of the research, but already they see how it could change, and save, lives.

“We are at this tantalizing moment where we’ve caught a glimpse of this really promising future, but there is so much work to be done,” he said.

hen radiologists want to get the best, most accurate picture of what is going on inside a patient’s body, they often turn to state-of-the-art equipment that costs millions of dollars and can churn out highly detailed images.

And once they get those images? In many cases, the most high-tech thing they’ll use to read them is a human eye.

“Eyeballing works very well for diagnosing,” said Antonio Criminisi, a machine learning and computer vision expert who heads radiomics research in Microsoft’s Cambridge, U.K., lab. “Expert radiologists can look at an image – say a scan of someone’s brain – and be able to say in two seconds, ‘Yes, there’s a tumor. No, there isn’t a tumor.’”

But when it comes to figuring out if a treatment is working or not, Criminisi said a radiologists’ job gets much more difficult. That’s because the human eye isn’t as good at easily measuring the complex ways in which a modern radiology scan can show whether a tumor may be growing, shrinking or changing shape.

Better technology means more data

A few years ago, Giles Maskell, a radiologist and president of the U.K.’s Royal College of Radiologists, said a typical CT scan might have produced 200 images. Now, that same scan might produce 2,000 images – producing a wealth of data that may not even be perceptible to the human eye.

“The fine detail far exceeds our ability to understand it all and to actually process it into something that is meaningful,” Maskell said.

Put simply, radiologists need technology to help them keep up with the technology.

“We need some help to actually present the data to us in ways that make it easy for us to analyze those huge numbers of images,” Maskell said.

That’s where Criminisi’s team comes in. The team’s data-driven approach is focused on a research project that aims to use computer vision and machine learning to augment the radiologists’ expertise by giving them more detailed and consistent measurements.

The system the researchers are working on could eventually evaluate 3D scans pixel by pixel to tell the radiologist exactly how much the tumor has grown, shrunk or changed shape since the last scan.

It also could provide information about things like tissue density, to supply the radiologist a better sense of whether something is more likely a cyst or a tumor. And it could provide more fine-grained analysis of the health of cells surrounding a tumor.

“Doing all of that by eye is pretty much impossible,” Criminisi said.

The goal is not to replace the radiologists’ expertise but rather to allow them to do their jobs better.

“There’s always going to be a need for human interpretation,” Maskell said. “The computers and the computer science will allow us to make better decisions.”

Allison Linn is a senior writer at Microsoft. Follow her on Twitter.

Photos by Jonathan Banks / © Microsoft

Tue, 18 Aug 2020 18:28:00 -0500 text/html
Killexams : Security Leaders Share 5 Steps to Strengthening Cyber Resilience

With new threat actors emerging every day and a growing number of cyber attacks making headlines, cybersecurity has become a critical business imperative. Security leaders face the dual challenge of needing to stay competitive in a rapidly evolving business landscape while also defending against increasingly serious cyber threats, reducing complexity, and facilitating their organization’s digital transformation.

To better understand emerging security trends and top concerns among Chief Information Security Officers (CISOs), Microsoft Security conducted a survey of more than 500 security professionals. Based on the responses we received, we developed five steps organizations can take to Excellerate their cyber resilience in the process. Keep studying to uncover our insights.

  1. Embrace the vulnerability of hybrid work and build resilience

 The move to hybrid work has forced businesses of all types into the cloud. According to one study, 82% of respondents said they had ramped up their use of cloud in response to the pandemic and the shift to remote work, with 60% saying their use of off-premise technologies had continued to grow since then.[1] This has resulted in more people working in difficult-to-defend environments such as within cloud applications, across platforms, on personal devices, and on home networks. Is it any surprise, then, that 61% of security leaders view the cloud as the digital feature that is most susceptible to attack and two out of three believe that hybrid work has made their organization less secure?

This concern is not unfounded given that 40% of all attacks in 2021 and half of all cloud attacks significantly impacted businesses. As such, cloud and network vulnerabilities have become the top security concern for security leaders — even ranking above malware. In particular, 45% of security professionals identified email and collaboration tools, both of which are frequently used for remote work, as their most vulnerable digital feature.

Microsoft’s research revealed that breaches due to cloud misconfiguration are just as common as malware attacks and are even more associated with significant damage to the business. While roughly half of cloud and IoT breach victims reported significant business impact in the form of operational downtime, sensitive data being stolen, and reputational damage, fewer than a third of malware and phishing victims suffered this level of damage. According to security decision-makers in our survey, about 40% of security breaches in the past year significantly impacted the business.

Organizations no longer have the opportunity to bunker down behind the walls of their internal corporate network. Instead, they must embrace vulnerability as a feature of the hybrid work environment and look for ways to minimize the business impact of attacks. One way to do this is by partnering with cloud experts. Securing the cloud is different from securing an internal network and can often be challenging. For this reason, it’s a good idea to have cloud security certified on your team given that some of the main cloud vulnerabilities include administrator errors, such as misconfiguration and inconsistent implementation of security policies.

  1. Limit the impact of ransomware attacks

Cyber criminals are capitalizing on the corporate move to the cloud. In 2021, one in five businesses surveyed experienced a ransomware attack and roughly one-third of security leaders list ransomware among their top concerns. This is a well-founded fear given that ransomware breaches increased by 13% in 2021.[2]

Ransomware attacks can have a significant impact on businesses. While the financial aspects such as the cost of ransom, escalation, notification, lost business, and response are disruptive, it’s only part of the story. Forty-eight percent of ransomware attack victims in our study report that attacks caused significant operational downtime, exposure of sensitive data, and reputational damage. Furthermore, organizations that paid the ransom only recovered 65% of their data on average, with 29% getting back no more than half their data.

So, how can security leaders respond? Zero Trust is currently the gold standard. Because ransomware attacks come down to three primary entrance vectors — remote desk protocol (RDP) brute force, vulnerable internet-facing systems, and phishing — organizations can limit damage by forcing attackers to work harder to gain access to multiple business-critical systems.

Zero Trust principles like least-privilege access are especially effective at preventing attacks from traveling across networks and discovering valuable data. Zero trust can also be an effective method for addressing human-operated ransomware.

  1. Elevate cybersecurity into a strategic business function

There’s an interesting mindset shift happening among CISOs: a strong security posture should focus on building awareness of the threat landscape and establishing resilience, not on preventing individual attacks.

Microsoft’s survey data supports this line of thinking: 98% of respondents who reported feeling extremely vulnerable to attack were also implementing Zero Trust, and 78% already had a comprehensive Zero Trust strategy in place. Because Zero Trust assumes breach and optimizes for resilience rather than protection, respondents who indicated maturity in their Zero Trust journey were also more likely to see attacks as an inevitability rather than a preventable threat.

And while implementing Zero Trust does not necessarily result in fewer attacks, it can help reduce the average cost of a breach.

So, for security leaders who are looking to elevate security from a protective service to a strategic business enabler, the first step is assessing the Zero Trust maturity stage of your organization. This can help establish a resilient security posture and proactive approach to cybersecurity that facilitates more effective hybrid work, improves consumer experiences and confidence, and supports innovation.

  1. Maximize your existing resources

Part of being a mature security organization is understanding the inherent threats that are present in today’s complex digital environments. However, many CISOs are also optimistic about their ability to manage future challenges down the road. According to the security leaders we interviewed in our study, in just two years, many vulnerable aspects of our current digital environment are anticipated to become less of a liability.

For example, while nearly 60% of leaders see networks as a vulnerability today, only 40% see the issue persisting two years from now. Likewise, 26% fewer cite email and collaboration tools and end-users as anticipated concerns in 2024 compared to 2022, roughly 20% fewer see supply chain vulnerability as a top concern, and 10 to 15% fewer respondents view endpoints and cloud applications as a top security concern. Only Operational Technology (OT) and IoT are expected to be the same or more of a challenge two years from now.

This particular set of results from our study is especially interesting when you consider the gravity of the cyber threats that we’re facing today. While attacks are increasing in severity, they’re also declining as a risk due to the confidence among security professionals that today’s approach to security will better protect organizations in coming years as it is implemented across supply chains, partner networks, and ecosystems.

In order for organizations to advance their cybersecurity maturity, it’s important to ensure comprehensive implementation of security tools. Building on a strong Zero Trust foundation, organizations can optimize their existing security investments like endpoint detection and response, email security, identity and access management, cloud access security broker, and built-in threat protection tools.

  1. Implement security fundamentals

 It’s no secret that today’s CISOs are being asked to do more with less. Therefore, it’s critical for security leaders to manage risk and set the right priorities. Prioritizing foundational cyber best practices is a great place to start, as Microsoft estimates that basic security hygiene still protects against 98% of attacks.

Nearly all cyberattacks can be thwarted by enabling multifactor authentication (MFA), applying least privilege access, updating software, installing anti-malware, and protecting data. And yet, we still see low adoption of strong identity authentication. Across industries, only 22% of customers using Microsoft Azure Active Directory (Azure AD), Microsoft’s Cloud Identity Solution, had implemented strong identity authentication protection as of December 2021.

For security leaders, this represents an important learning: start with identity. Whether it’s MFA, passwordless protection, conditional access policies, or more, having secure identity protections can minimize the opportunity for threat actors and make it more difficult to raise the attack bar.

Strengthening your cyber resilience does not happen overnight. It is a continuous journey that all organizations are on as we continue to move forward in this rapidly changing threat landscape. By prioritizing what needs to be attended to first based on risk, organizations can incrementally apply these five steps to confidently move towards better cyber resiliency.

Want to uncover more insights from Microsoft’s 2022 cyber resilience survey? Download the full report here.



Copyright © 2022 IDG Communications, Inc.

Tue, 02 Aug 2022 01:03:00 -0500 Microsoft Security en text/html
Killexams : Access Control as a Service Market Shaping from Growth to Value | Microsoft, Honeywell Security, Cisco Systems

The latest study released on the Global Access Control as a Service Market by AMA Research evaluates market size, trend, and forecast to 2027. The Access Control as a Service market study covers significant research data and proofs to be a handy resource document for managers, analysts, industry experts and other key people to have ready-to-access and self-analyzed study to help understand market trends, growth drivers, opportunities and upcoming challenges and about the competitors.

Download demo Report PDF (Including Full TOC, Table & Figures) @

Key Players in This Report Include:

Brivo Inc. (United States), Cloudastructure Inc. (United States), Tyco Security Products (United States), ASSA Abloy AB (Sweden), Dorma+Kaba Holding AG (Switzerland), Microsoft Corporation (United States), Cisco Systems, Inc. (United States), Gemalto NV (Netherlands), Honeywell Security (United States), Vanderbilt Industries (Ireland), Identiv (United States)


The access control system averts unauthorized entry and enables company management to put limitations on what places personnel access to depending on their role within a company has. Access control system widely implemented in many warehouse complexes, parking lots, garages, hotels, educational institutions or business centers, and many more. Turnstiles, swipe cards, video intercoms, and alarm systems are the constituent part of the access control system. As digital technology changes, AcaaS takes security to a new level.

Market Trends:

Growing Adoption of IoT and Increased Use of Cloud Computing Platforms

Market Drivers:

Rising Demand for ACaaS from End-Use Industries

Increased Security Risks in IT Industry by BYOD Policies

Market Opportunities:

Potential Growth Offered by Untapped Market

The Global Access Control as a Service Market segments and Market Data Break Down are illuminated below:

by Type (Public Cloud, Private Cloud, Hybrid Cloud), Deployment Mode (Public Cloud, Private Cloud, Hybrid Cloud), Services (Hosted, Managed), Enterprise Size (SMEs, Large Enterprises), End User (BFSI, Government, Education, Healthcare, Retail, Transportation, Others)

Global Access Control as a Service market report highlights information regarding the current and future industry trends, growth patterns, as well as it offers business strategies to helps the stakeholders in making sound decisions that may help to ensure the profit trajectory over the forecast years.

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Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:

The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)

North America (United States, Mexico & Canada)

South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)

Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)

Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).

Objectives of the Report

-To carefully analyze and forecast the size of the Access Control as a Service market by value and volume.

-To estimate the market shares of major segments of the Access Control as a Service

-To showcase the development of the Access Control as a Service market in different parts of the world.

-To analyze and study micro-markets in terms of their contributions to the Access Control as a Service market, their prospects, and individual growth trends.

-To offer precise and useful details about factors affecting the growth of the Access Control as a Service

-To provide a meticulous assessment of crucial business strategies used by leading companies operating in the Access Control as a Service market, which include research and development, collaborations, agreements, partnerships, acquisitions, mergers, new developments, and product launches.

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Major highlights from Table of Contents:

Access Control as a Service Market Study Coverage:

It includes major manufacturers, emerging player’s growth story, and major business segments of Access Control as a Service market, years considered, and research objectives. Additionally, segmentation on the basis of the type of product, application, and technology.

Access Control as a Service Market Executive Summary: It gives a summary of overall studies, growth rate, available market, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.

Access Control as a Service Market Production by Region Access Control as a Service Market Profile of Manufacturers-players are studied on the basis of SWOT, their products, production, value, financials, and other vital factors.

Key Points Covered in Access Control as a Service Market Report:

Access Control as a Service Overview, Definition and Classification Market drivers and barriers

Access Control as a Service Market Competition by Manufacturers

Impact Analysis of COVID-19 on Access Control as a Service Market

Access Control as a Service Capacity, Production, Revenue (Value) by Region (2021-2027)

Access Control as a Service Supply (Production), Consumption, Export, Import by Region (2021-2027)

Access Control as a Service Manufacturers Profiles/Analysis Access Control as a Service  Manufacturing Cost Analysis, Industrial/Supply Chain Analysis, Sourcing Strategy and Downstream Buyers, Marketing

Strategy by Key Manufacturers/Players, Connected Distributors/Traders Standardization, Regulatory and collaborative initiatives, Industry road map and value chain Market Effect Factors Analysis.

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Key questions answered

How feasible is Access Control as a Service market for long-term investment?

What are influencing factors driving the demand for Access Control as a Service near future?

What is the impact analysis of various factors in the Global Access Control as a Service market growth?

What are the accurate trends in the regional market and how successful they are?

Thanks for studying this article; you can also get individual chapter wise section or region wise report version like North America, Middle East, Africa, Europe or LATAM, Southeast Asia.

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Craig Francis (PR & Marketing Manager)
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Fri, 08 Jul 2022 18:24:00 -0500 Newsmantraa en-US text/html
Killexams : Could gaming Excellerate people's mental health by combating anxiety?

In 2017, Ninja Theory, advised by Cambridge academic Professor Paul Fletcher, took the gaming world by storm with Hellblade, which accurately depicted psychosis. Now the company has teamed up with one of Fletcher's Ph.D. students to see whether gaming might help Excellerate people's mental health.

Something is wrong.

Something is very badly wrong.

I had been gently drifting along the river, the sun gently setting and the sky a warming golden hue. As I slowly breathed in and out, my body had relaxed, my heart rate calmed.

But now, I have awoken in a dimly-lit basement, water dripping from the ceiling, the light fizzing on and off. I can hear screams from the neighboring room. As I try to move, I realize my hands are strapped to a chair.

And there is someone—or something—in the room with me.

Ten minutes later, I emerge safely from the dungeon, blinking in the daylight that spills through the window of Lucie Daniel-Watanabe's "laboratory."

What I have just experienced was, thankfully, not real—it was virtual reality (VR). It is part of a unique collaboration between University of Cambridge researchers and local gaming company Ninja Theory. Daniel-Watanabe is a Ph.D. student under the supervision of Paul Fletcher, a professor of psychiatry.

Fletcher became involved with Ninja Theory back in 2013, when the company approached him to be an advisor on their game Hellblade, whose main character Senua experiences psychosis. The developers wanted to ensure that the representation of this condition was both accurate and sensitive. It paid off: the game won multiple awards, including five gaming BAFTAS, but more importantly it was praised by people who experience psychosis themselves.

Ninja Theory has since gone on to be acquired by Microsoft as part of Microsoft Studios (now known as Xbox Game Studios). It has moved headquarters to a new building in Cambridge, on the ground floor of which sits its "gaming bar" The Bird or Worm?

The company has continued its collaboration with Fletcher and is now funding Daniel-Watanabe's Ph.D. Yet despite this, she admits she would not describe herself as a hard-core gamer.

"My partner is an avid gamer and my closest friends are avid gamers, so it's always been kind of a part of my life. I game irregularly because I study too much!"

Daniel-Watanabe was working as a research assistant with Fletcher when he first started talking about this current project. "It was just serendipity. I was in the right place at the right time."

Whereas Hellblade was about representing a mental health condition as accurately as possible, Daniel-Watanabe's work is moving beyond just representation, looking at whether gaming can help Excellerate our mental well-being, with a specific focus on anxiety.

Credit: University of Cambridge

"Anxiety is interesting because it's something that occurs in everyone."

"It's not just that have high levels of anxiety: almost every mental health disorder has an aspect of anxiety in it, or it's very common at least—it goes across diagnoses."

She has been using virtual reality (VR) technology to examine how we respond to . She has recently completed a study that involved putting people in a number of different stressful virtual situations—such as confronted by spiders, in a forest at night, on top of a high building or speaking in public—and measuring changes in their breathing, heart rate and pulse. This pilot study was aimed at showing a proof of principle, that it is possible to cause—and measure—physiological changes. She hopes to make these available at some point to other research groups, so that they can replicate the findings or use the technology to conduct their own experiments.

Daniel-Watanabe is now looking at whether we can be trained to take control of these changes, to calm ourselves down and reduce our anxiety levels.

Which is where we began.

With the VR headset in place and a pulse oximeter attached to your finger, you are ready to delve into the virtual world that Daniel-Watanabe and the team at Ninja Theory have created.

The training takes place in two stages. To begin with, you find yourself in a rowing boat, drifting along an estuary. A voice guides you to breathe in for five seconds, hold for five seconds, and breathe out for five seconds, repeating over five minutes while a soothing, New Age soundtrack lulls you into a feeling of serenity. The technique would not feel out of place in a mindfulness class or on a relaxation app.

You are very unlikely to find the next step in your mindfulness class, however.

"The second part is, we put people in a very scary stressful situation and we ask them to try and remember that breathing technique," explains Daniel-Watanabe. "It's teaching you this regulation mechanism and then asking you to apply it in a very stressful situation."

And when she says stressful, she is not kidding.

"You're here in a dungeon with a monster wandering around, but the monster can't see, it can only hear you."

This piece of good news is short-lived.

"The only thing it can hear is your heartbeat. There's a little dial in the top corner of [your vision] that has a green and amber or red light, and the closer you keep your heart rate to the baseline—that's what it was when you were on the boat—the light will stay green. But if it increases by however many beats per minute, it'll turn to amber, then if it increases again, it'll go red and that shows how much danger you're in from the monster."

Having played such classic PlayStation horror games as Resident Evil IV, I'm not unfamiliar with being terrified by monsters, but in that instance (a) I was not playing in virtual reality, where your sound and vision are completely immersed in the game; and (b) I could run away every time I heard the chanting of rabid monks approaching.

Here, however, as a mutilated creature crawls up so close that you can almost feel its breath on your face, your only defense is to remain calm. This is not easy: at one point, I make the mistake of looking to my right and realize that in the room next to me someone is also strapped to the chair and (Spoilers!) theirs is not a happy ending.

Fortunately, I do live to tell the tale. In fact, despite feeling at times that I could hear my own heartbeat, I manage to do surprisingly well. A couple of times, the light trips briefly to amber, but according to Daniel-Watanabe my heart rate only ever increases by around ten beats per minute.

So far, around two dozen people have taken part in the experiment, with Daniel-Watanabe aiming to test up to 100 people. As well as the virtual reality experience, each participant completes a detailed questionnaire that will allow her to see where there are particular traits or experiences that make a person better able to cope. Are people who are more anxious, worse at this task, or do they perform better, for example? Are horror fans or hard-core gamers less likely to be terrified and therefore remain calmer?

Using virtual reality to help people overcome their fears is not new. It has been used previously to help people overcome phobias, everything from a fear of spiders to public speaking. It is now even being offered in some NHS clinics.

But the partnership with Ninja Theory potentially takes Daniel-Watanabe's work to another level.

First off is the quality of the experience. Researchers may be experts in their field, but limited resources mean that the environments they employ tend to be relatively simple and unrealistic.

"Everything is done by academics, which is how academia kind of works, but often means that you get a slightly less optimal thing than you would if you had someone who specialized [in VR technology]."

The graphics in Daniel-Watanabe's experiment may not be quite as sophisticated as those in Hellblade—which were stunningly beautiful—but they are not far off.

Second is the application.

"With mindfulness and a lot of these meditative apps, there's no incentives, there's no drive. You have to be self-motivated enough to want to do them. Gaming has that intrinsic motivation built into it."

In other words, by building these techniques into a game, people will want to take part. But even if her work doesn't lead to the full "gamification" of counseling, as she says: "[We will have] created a cool breathing exercise that you can do in VR."

In the future, she hopes that games that employ this approach—whether using VR or a tablet—might be rolled out to clinics, GP surgeries or pre-surgery, where people get very anxious, so that people can have fun while learning valuable relaxing exercises.

While her work is still at a very early stage, she has received some very encouraging feedback. "One of our [participants] sent me some feedback saying that she had had a really rough weekend and she was getting very anxious, and she remembered the breathing techniques that she learned on the boat. She tried to use them again and was able to calm herself down, which was kind of unexpected because