Remove Behavioral Analytics Remove Data Collection Remove Modeling Remove 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.

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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.