LLM Powered User Risk Summary in Behavior Threats
Behavior Threats supports LLM powered user risk summary of the top 0.1% of risky
users.
Behavior Threats supports LLM powered user risk summary of the top 0.1% of risky
users. This summary provides detailed insights into unusual activities, data access
patterns, and potential security concerns even when incidents are not generated,
enabling security administrators like you to understand and assess user risk more
effectively. LLM-powered user risk summary is an innovative approach for evaluating
high-risk users by analyzing their activity patterns and machine learning model
results. This summary offers an overview of user risk factors, surpassing the
limitations of current incident descriptions that often focus on single aspects.
It's valuable for explaining high risk scores for users without recorded incidents.
This approach has shown promising results in production, offering additional
insights compared to traditional incident descriptions.