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منع التهديدات الداخلية باستخدام تحليل سلوك المستخدمين (UEBA)

ورقة بيضاء

Learn how behavioral analytics can detect insider threats early to prevent data loss.

Insider threats are broader and harder to detect than most security leaders expect. You may face risk from malicious insiders, careless mistakes, or even AI agents operating with valid credentials in your environment. These threats can come from current or former employees, contractors, partners, interns, or misconfigured agents. Excessive or outdated access rights only increase the challenge, leaving users with access to systems they no longer need.

These threats can come from a current and former employees, contractors, partners, interns, or even misconfigured or compromised AI agents. Excessive or outdated access rights make the problem worse, leaving long-term users or former employees able to reach systems they no longer need.

اقرأ الورقة البيضاء وتعلم كيف تفعل ذلك:

• Identify early patterns of risky behavior to prevent data loss
• Detect signals across systems that reveal insider misuse
• Apply automation and machine learning to evaluate threats from both human and AI insiders

Download the paper today to learn how to reduce risk and stay ahead of insider threats from both users and agents.