Detect agent drift and anomalies in real time before unsafe actions cause damage.
Autonomous agents can change behavior as they operate, making continuous runtime oversight essential. PointGuard AI helps security teams compare live agent activity with intended missions, permissions, and expected behavior so emerging risk can be identified and contained before unsafe actions reach enterprise systems.
The AI environment creates several recurring security and governance challenges:
PointGuard AI provides a comprehensive solution combining continuous visibility, behavioral context, cumulative risk analysis, and real-time containment:
1. Discover & identify agents. Use AI Discovery & Inventory, Agent Mission Control, and Guardian Agent to maintain an inventory of agents across applications, endpoints, gateways, APIs, and runtime environments, including ownership, identity, mission, permitted resources, and risk profile.
2. Monitor runtime behavior. Observe tool calls, resource requests, credential use, agent-to-agent interactions, and other consequential actions against authorization policies and the agent's intended scope.
3. Detect cumulative risk & drift. Analyze sequences of activity so unusual tool use, repeated failures, access attempts to unrelated systems, privilege changes, or mission deviations can increase cumulative risk and trigger additional controls.
4. Contain dangerous activity. When risk exceeds defined thresholds, require human approval, block tool calls, trigger circuit breakers, isolate agents, or activate kill switches before unsafe actions execute.
Together, these steps continuously compare agent activity with intended missions and permissions, escalating controls as anomalous behavior accumulates and intervening before drift becomes a damaging action.
Applicable framework risks and controls include:
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AI Security Incidents