Overview

Gurucul Insider Threat Management Solution leverages AI and machine learning to detect, analyze, and respond to insider threats in real time. It offers dynamic risk scoring for users and entities, monitoring behavior to identify anomalies such as unauthorized access, data exfiltration, and policy violations. The solution supports enterprises by automating threat detection workflows, reducing false positives, and integrating with existing security ecosystems. It helps organizations proactively manage internal risks, protect sensitive data, and comply with regulatory requirements.

Features and Capabilities

• AI-powered Behavioral Analytics: Utilizes machine learning to baseline normal user behavior and detect deviations indicative of insider threats.
• Dynamic Risk Scoring: Assigns continuous 0-100 risk scores to users, devices, and activities, enabling prioritized investigation.
• Real-Time Threat Detection: Monitors for suspicious activity such as unauthorized access, data downloads, privilege escalations, and lateral movement.
• Automated Response Workflows: Streamlines incident response by triggering alerts and automated actions to contain threats quickly.
• Integration with Security Tools: Seamlessly connects with SIEM, IAM, DLP, and endpoint security solutions to enrich threat context.
• Comprehensive Audit Trails: Maintains detailed logs and investigation timelines for compliance and forensic analysis.
• Insider Threat Policy Enforcement: Supports the creation and enforcement of custom policies to identify and mitigate insider risk.
• User Entity and Behavior Analytics (UEBA): Correlates activities across users, devices, and accounts for accurate threat detection.
• Cloud and On-Premises Support: Flexible deployment options to fit diverse enterprise environments.
• Reduction of False Positives: Advanced algorithms reduce noise, improving security team efficiency.