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10 projects top of mind for IT leaders today

CIO Business Intelligence

Krishna Prasad, chief strategy officer and CIO at UST, a digital transformation solutions company, says that cybersecurity not only remains top of mind but an area of significant work for IT as it’s tasked with executing much of the risk-mitigation efforts. Risk management came in at No. Foundry / CIO.com 3. For Rev.io

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The changing face of cybersecurity threats in 2023

CIO Business Intelligence

Detection: One of the first signs of a website spoofing attack is an unusual or too-good-to-be-true request – such as a special Amazon sale offering 25% discount on the latest model of the iPhone. SMBs and startups are equally at risk. You know very well it’s not going to happen.

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Why You Need to Get on the Zero Trust Network Access Express Lane

CIO Business Intelligence

The biggest risk with VPNs is that malware can get into a user’s system, effortlessly ride the VPN and potentially infect the entire enterprise. Behavioral analytics and least-privilege access. Like continuous authentication, ZTNA uses behavioral analytics. VPNs typically don’t scan for viruses or other malware.

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Cybersecurity for enterprise: 10 essential PAM considerations for modern hybrid enterprises

CIO Business Intelligence

You must also understand how moving to cloud drives changes in enterprise cybersecurity—how to protect those resources, drive down risk, and improve productivity. What’s the best return on our cybersecurity investment that takes the biggest bite out of cyberattack risk? What attack surfaces are exposed? For example, PCI-DSS, the U.S.

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What is a phishing simulation?

IBM Big Data Hub

They also help security teams pinpoint vulnerabilites, improve overall incident response and reduce the risk of data breaches and financial losses from successful phishing attempts. One way to do this is by using phishing templates modeled after popular types of phishing attacks to target employees. How do phishing simulations work?

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The Evolution of Access Management in IAM

CDW Research Hub

Adaptive MFA is extending the MFA capabilities to utilize user behavior and context into the decision. Adaptive MFA builds a risk profile of a user based on a matrix of variables. Using this risk profile, the application can generate additional authentication requirements before a user is allowed access. Reduced risk.

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Research shows extensive use of AI contains data breaches faster and saves significant costs

IBM Big Data Hub

Under-deployed tools and solutions that do the minimal that’s “good enough” or that face other barriers like the risk aversion to fully automating processes that could have unintended consequences. UBA’s Machine Learning Analytics add-on extends the capabilities of QRadar by adding use cases for ML analytics.