Description
Insider Threat Detection Automation leverages advanced machine learning and user behavior analytics (UBA/UEBA) to identify high-risk internal activities, reducing the risk of data exfiltration, sabotage, or negligent actions by employees, contractors, or partners. Our system integrates with existing identity providers, SIEMs (like Splunk, Sentinel, or QRadar), and endpoint monitoring tools to build dynamic risk profiles for every user. Behavioral baselines are created using data from emails, file movements, login history, USB usage, and application access patterns. Sudden anomalies—such as off-hours data transfers, excessive file access, or credential escalation—trigger real-time alerts or automated access revocation. You also gain access to an analytics dashboard showing intent scoring, user activity heatmaps, and risk categorization. This system significantly enhances your internal defense posture, especially in regulated industries like finance, healthcare, and critical infrastructure where insider threats are often the most damaging and hardest to detect.
Bakchod –
This service has significantly improved our security posture by proactively identifying potential insider threats we would have otherwise missed. The behavior analytics and anomaly detection work seamlessly together, providing a comprehensive view of user activity and flagging suspicious patterns. Contextual access monitoring has given us valuable insights into how our systems are being used and allowed us to strengthen our internal defenses.
Sherifat –
The Insider Threat Detection Automation service has been instrumental in bolstering our security posture. The solution seamlessly integrates behavior analytics, anomaly detection, and contextual access monitoring, providing a comprehensive view of potential internal risks. We’ve seen a significant improvement in our ability to identify and respond to suspicious activity, giving us much greater peace of mind regarding the security of our sensitive data.
Chinasa –
The insider threat detection automation service has significantly improved our security posture. The combination of behavior analytics, anomaly detection, and contextual access monitoring provides comprehensive visibility into internal activity, allowing us to identify and address potential threats proactively. It’s been an invaluable tool in safeguarding our sensitive systems and data from internal risks, freeing up our security team to focus on other critical areas.