Manage Insider Risks with Context, Not Just Alerts
Netra helps enterprises detect risky users, assess data risk over time, and respond with contextual analysis across AI tools, SaaS, cloud, network, and endpoints.
Netra helps enterprises detect risky users, assess data risk over time, and respond with contextual analysis across AI tools, SaaS, cloud, network, and endpoints.
Insider risk is rising as remote work, employee turnover, and AI adoption expand the ways sensitive data can be accessed, moved, and exposed. But fragmented alerts and siloed tools make it difficult to identify which users truly pose elevated risk and how to respond before data loss occurs.
Netra continuously monitors enterprise data flows and user behavior across AI tools, SaaS, cloud, network, and endpoints. It correlates behavioral activity, log evidence, and semantic content signals to assess each user's overall data risk over time. By combining UEBA, anomaly detection, and AI-driven intent analysis, Netra helps teams prioritize risky users, accelerate investigations, recommend remediation, and improve policies.
UEBA with risk scoring over time to identify risky users based on cumulative behavior patterns
AI analysis of user data risk using correlated behavior analysis, log analysis, semantic content analysis, anomaly detection, and intent reasoning
Actionable investigation and remediation through contextual reports, findings, and response recommendations
Schedule a demo to see how Netra can protect your organization's data and prevent insider threats.