AI Agent Governance
Platform
The governance layer between your AI agents and the systems they interact with. Every action evaluated against deterministic policies before execution. Sub-8ms. Tamper-proof. Zero blind spots.
Six Governance Layers
Each layer operates independently. Together they form a defense-in-depth governance stack that no single failure can bypass.
Discover
Know every agent in your organization
Agent inventory with runtime fingerprinting. Shadow AI detection surfaces unregistered agents. You cannot govern what you cannot see.
Understand
Profile risk before it materializes
Behavioral profiling builds a compliance fingerprint for each agent. Risk scoring quantifies exposure. Intent classification separates benign operations from threat vectors.
Control
Stop dangerous actions in milliseconds
Organization-wide and per-agent kill switches halt all activity instantly. Circuit breakers throttle runaway agents. Quarantine isolates compromised agents for forensic analysis.
Enforce
Deterministic policy evaluation on every action
Policy engine evaluates ALLOW, DENY, or ESCALATE on every agent action before execution. Approval gates inject human oversight into high-risk workflows.
Compliance
Evidence generation, not checkbox compliance
EU AI Act Article 9 risk management evidence. NIST AI RMF alignment. SOC 2 audit exports. ISO 27001 control evidence. Generated automatically from governance data.
Intel
Governance intelligence, not just observability
PII redaction prevents data leakage at the action layer. Token metering tracks cost per agent. Anomaly detection surfaces behavioral drift.
What Makes This Different
Sub-8ms evaluation
Every action evaluated through deterministic policies before execution. Zero perceptible latency for the agent.
Not LLM observability
OnLeash governs autonomous agent actions — file writes, API calls, shell commands — not just prompt/completion pairs. This is the control plane, not the logging plane.
Tamper-proof audit chains
Cryptographically-chained audit logs. Every entry linked to the previous one. Tampering breaks the chain and triggers an alert.
Semantic firewalls
Prompt injection defense at the governance layer. Detects and blocks adversarial inputs before they reach your agent logic.
Agent trust progression
Agents earn trust through compliance history, not configuration. Behavioral analysis determines governance posture dynamically.
Formal policy verification
Mathematical verification of policy configurations. Prove that your governance rules are consistent and complete before deployment.
Works With Your Stack
Native integration via TypeScript SDK, Python SDK, CLI, REST API, and MCP server.
Start Governing Your AI Agents
Free Developer tier. 1 agent, 1,000 intercepts/month. No credit card.
Deploy Governance