Data breaches need not necessarily begin as an apparent attack; they begin with hacked credentials or misuse of access by users within your organization. These activities may look normal when reviewing audits, which is why most security tools may not flag them as risks.
Traditional solutions identify risks based on pre-defined rules. Anomalous activities such as a user logging in at 3am and accessing systems they have never accessed before appear to be legitimate for a SIEM solution – however they may not reflect the actual risk.
User Behavior Analytics (UBA) helps mitigate these risks; UBA doesn’t rely on fixed rules. Instead, it uses machine learning to understand what is “normal” for each privileged user, and flags anything that deviates from that baseline.
Securden’s Risk Intelligence with Behavior Analytics helps organizations detect and respond to security threats by analyzing all privileged user and account activity that occurs in Unified PAM.
By auditing user behavior and establishing a baseline of normal activity, Securden enables proactive defense against insider threats, data exfiltration, and security breaches.
Securden comprehensively analyzes the activities of privileged accounts and users onboarded in Unified PAM, detecting abnormal or suspicious behaviors to prevent misuse of privileged accounts.
The Risk Insights dashboard provides comprehensive visibility into risky behaviors: