Runtime Security for AI
Behavioral Threat Detection
Behavioral Threat Detection
Monitor usage patterns in real time to identify abnormal, risky, or compromised interactions before they escalate into security incidents.
Monitor usage patterns in real time to identify abnormal, risky, or compromised interactions before they escalate into security incidents.
Behavior Threat Detection continuously analyzes how users interact with your LLMs to catch patterns that slip past prompt-based filters.
Track session evolution across multiple messages to catch complex exploit chains.
Assign dynamic threat scores to sessions based on historical and real-time data.
Identify behavioral outliers such as sudden prompt flooding, input structure changes, or tone shifts.
Auto-block users, IPs, or sessions that exceed configurable threat thresholds.
Detect coordinated attacks, abuse, or usage anomalies with high accuracy, even at peak volume.
Integrate Behavioral Threat Detection into your existing stack and workflows for real-time insights and response.
Push alerts and session data into tools like Splunk or Prometheus for centralized security visibility.
Pair with Moderation Policy Engine to enforce conditional rules based on threat behavior.
Trace every interaction, policy trigger, and block decision for forensic analysis and compliance.
Extend detection logic via custom plugins that adapt to your unique application landscape.
Push alerts and session data into tools like Splunk or Prometheus for centralized security visibility.
Pair with Moderation Policy Engine to enforce conditional rules based on threat behavior.
Trace every interaction, policy trigger, and block decision for forensic analysis and compliance.
Extend detection logic via custom plugins that adapt to your unique application landscape.
Mitigate risks before they escalate through Runtime Security
