Design‑Partner Cohort (very few spots open)

AgentGuard

Inline AI Policy Enforcement & Zero-Trust Guardrails for Autonomous Agents

Control what your AI agents can do, with whom, and when — in real time. AgentGuard enforces granular, context-aware policies on every action your autonomous AI takes.

Request a Demo

Why AgentGuard?

Granular Permissioning

Define exactly which APIs, tools, and data sources an agent can access — down to the method and field level.

Context-Aware Controls

Evaluate risk in real time based on session context, initiating human, and behavioral baselines.

Dynamic Trust Scoring

Adjust privileges on-the-fly if agent behavior diverges from expected norms.

How It Works

  1. Intercept: All agent actions route through the AgentGuard policy engine.
  2. Evaluate: Context-aware rules and trust scores determine whether the action is allowed.
  3. Enforce: Approved actions proceed instantly; violations are blocked or require human approval.
  4. Log: Every decision is recorded with agent ID, human initiator, and full context for audit.
AgentGuard Flow Diagram

Example Use Cases

Financial Control

Block out-of-policy transactions (e.g., trades above $10K) unless risk score is low and human approval is present.

Healthcare Privacy

Ensure agents only retrieve patient data relevant to the case and authorized by the treating physician.

Ops Automation Safety

Allow IT assistants to restart services but block schema changes without an approved change ticket.

Ready to put guardrails on your AI agents?

Deploy AgentGuard in minutes and take control over every action your AI agents perform — without slowing innovation.

Get Started