GEC NEWS WIRECentrify is set to release its new Analytics Service which uses machine learning to assess risk based on constantly-evolving user behavior patterns. It then assigns a risk score and enforces an appropriate decision, determining whether the user’s access is granted, requires step-up authentication or is blocked entirely.
Centrify gives IT the power to break the cycle of account exploitation and impersonation, to stop attacks that lead to data breaches. Not only are anomalous access requests stopped in real time but potentially compromised accounts are flagged and elevated to IT’s attention, speeding analysis and greatly minimizing the effort required to assess risk across hybrid IT environment.
Building security policy for employees, contractors, partners and privileged IT users has typically favored security over user experience. Behavior-based scoring means users get a frictionless experience when they present low risk, easing access and improving productivity while maintaining high security.
“By tailoring security policy to each individual’s behavior and automatically flagging risky behavior, we’re helping IT professionals minimize the risk of being breached — with immediate visibility into account risk, without poring over millions of log files and massive amounts of historical data,” said Bill Mann, chief product officer at Centrify.
Available as an add-on to Centrify Identity Service and Centrify Privilege Service, the service is a natural extension of Centrify’s adaptive Multi-Factor Authentication, adding machine learning that both eases configuration for IT and eliminates constant MFA challenges to simplify end user access.
