Leveraging behavior analytics and machine learning algorithms in your PAM strategy
Modern technologies like machine learning (ML) algorithms can introduce a forward-thinking outlook to privileged access management (PAM) and enable enterprises to predict emerging access risks in real time. ML-based anomaly detection systems can deeply analyze raw data collected around privileged activity, profile standard user behavior patterns, and then surveil future operations to detect any deviations from the norm, such as server logins after office hours. Moreover, such anomalies can be instantly flagged with alert systems and escalated to accelerate incident response times. On that note, this webinar will educate you on the benefits of including advanced threat analytics in your PAM program and how it can improve your risk mitigation strategy.
To learn more about ManageEngine's privileged access management solution, please visit https://www.manageengine.com/privileged-access-management/