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Agentic AI Security
Ensure autonomous agents operate within defined boundaries, with visibility, controls, and response mechanisms in place.
The Solution
Agentic AI introduces a new class of machine identities that act autonomously, make decisions, and interact with other systems, often without human oversight. These agents require continuous monitoring to ensure they operate within their intended scope.
Token Security discovers and inventories autonomous AI agents, maps their entitlements, and tracks real-time behavior. With anomaly detection, dynamic policy enforcement, and automated remediation, security teams can govern agentic AI without slowing innovation.
Features
The Solution
Agentic AI introduces a new class of machine identities that act autonomously, make decisions, and interact with other systems, often without human oversight. These agents require continuous monitoring to ensure they operate within their intended scope.
Token Security discovers and inventories autonomous AI agents, maps their entitlements, and tracks real-time behavior. With anomaly detection, dynamic policy enforcement, and automated remediation, security teams can govern agentic AI without slowing innovation.
Capabilities
Discover and classify autonomous againts
Identify intelligent AI systems acting independently, such as LLM-powered bots, decision engines, and self-scaling infrastructure.
Monitor decision-making behavior and drift
Detects when agentic behavior deviates from intended logic, exceeds authorization boundaries, or triggers downstream actions with unintended impact.
Enforce scoped permissions and constraints
Automatically apply least-privilege boundaries based on defined workflows, usage patterns, or service-specific rules.
Detect and respond to risky outputs
Monitor outputs, actions, or API calls made by AI agents that could introduce security or compliance violations.
