Detect zero-day attacks and insider threats by learning normal user behavior patterns with AI-driven anomaly detection.
Request a DemoBuilds user behavior profiles using unsupervised machine learning, analyzing over 1,000 behavioral attributes.
Identifies anomalies in under 50 milliseconds, leveraging NVIDIA TensorRT for high-speed inference.
Integrates with endpoint logs, network traffic, and cloud activity to create a comprehensive behavioral baseline.
Continuously updates models to adapt to evolving user behavior, reducing false positives over time.
Identifies previously unseen threats by detecting deviations from normal behavior, even without prior threat signatures.
Spots malicious or compromised insiders by flagging unusual activity, such as unauthorized data access.
Self-learning AI requires minimal setup, automatically adapting to your organization’s unique environment.
Provides detailed behavioral insights, helping security teams understand user activity patterns.
Stay ahead of zero-day attacks with Behavioral Anomaly AI.
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