Modern Control Plane for AI Agents
Detect intent, identity, and threat — enforce policy across the agent lifecycle
The Control Plane Dashboard
Persona-drift signals, threat intelligence, and intent analytics — one decisive view. Surface emerging threats, track intent boundaries, detect behavioral identity shifts across agents and sessions.
- Intent envelope analytics — boundary between expected behavior and anomalous intent
- Threat surface mapping — assets, actors, actions, and policies in one coherent narrative
Core Components
Intent Access Broker
Tracks assets, actors, actions, and policies at the intent layer — enforcing policy before intent becomes action.
Identity Sentinel
Continuous identity tracking across agent sessions. Detects persona drift and behavioral identity shifts in real time.
Trust Posture
Unified trust score across multi-agent, multi-tool sessions — posture management reimagined for the agentic era.
Surprise Detection
Information-theoretic scoring that separates signal from noise. The first anomaly scores high — repeated patterns score progressively lower.
Intelligent Search
Critical-intent-first prioritization. Surfaces the most relevant security signals across the lifecycle.
Policy Optimization
Continuously refines security policies through intent pattern analysis.
Deep diveUse Cases
Security Operations
Export intent signals to existing tools for unified AI + traditional threat visibility.
Multi-Stage Attack Detection
Correlate suspicious interactions across requests to identify full attack chains.
Learn more →Compliance & Governance
Monitor PII exposure, enforce policy, and satisfy audit requirements automatically.