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Guard your agent. Prove what it did.

See the whole run. Apply the right controls. Keep the evidence.

Try AgentGuard ↗Talk to ActaClad →

ONE REQUEST / THE WHOLE RUN

Reason freely. Act within bounds.

THE REQUEST“Prepare a payment to a new payee.”

TRACEPROTECTCONTROLEVALUATEPROVE
Banking agentCustomer request
Customer contextSensitive fieldsCHECKING
Policy contextTool permissions
ModelPlan the action
Account checksRead-only toolPOLICY CHECK
Payment toolAction heldPOLICY CHECK
ResponsePayment not sent
EvaluationOutput checkedCHECKING
Request received
TRACE

Banking agent

Customer request

Decision stays with the run

The customer request opens one trace.

Illustrative runs using configured controls. Actions remain held; no payment, care or operational change is executed.

Set the controls.
Guard the run.

The AgentGuard Controls screen brings model access, tool permissions and resource limits into one place.

AgentGuard Controls screen showing model access, tool permissions, token limits, rate limits, budgets and execution limits
Actual product capture · Controls / Agent PoliciesExplore AgentGuard ↗

FITS THE WAY YOU BUILD

Your stack.
Your deployment.

Built for multi-model, multi-framework AI environments.
Deploy your way.

Models

OpenAI

Anthropic

Verified SDK integrations

Frameworks & protocols

LangChain

LangGraph

MCP

Verified SDK integrations

Deployment

SaaSBYOCVM

From the first model call to the final action, AgentGuard keeps the run, the controls and the evidence connected.

Start with AgentGuard ↗