Runtime · Multi-agent governance
Every handoff between your AI agents is validated against policy. Unauthorised transfers are blocked. Your data never leaves your network.
Modern AI architectures use multiple agents that collaborate. One agent retrieves data, another analyses, a third acts. Each handoff is a point where control can be lost.
Uncontrolled data flow
Data flows between agents without validation. No one knows what was transferred — or whether it should have been.
Fail-open by default
Most systems fail open. If an agent doesn't respond, the next one passes data through anyway.
No audit trail
Handoffs aren't logged. When something goes wrong, there's no way to reconstruct what happened between agents.
Not a monitoring tool. An enforcement mechanism that sits between your agents.
Every handoff between agents is validated against your defined policy before data flows through. No exceptions.
Unauthorised transfers are blocked in real time. The system is fail-closed — doubt means stop, not continue.
All validation runs locally. Your data is never sent to external services to be checked.
Every blocked and approved handoff is logged in the Audit Ledger™ with timestamp, policy reference, and result.
0
Data leaving the network
All inference runs locally. No cloud dependency for policy validation.
<1s
Latency per handoff
Policy validation adds less than one second per transfer.
100%
Local control
You own the rules. You own the data. You own the log.
Agent Firewall™ covers four of five DARMA layers. It's not one product — it's a governance layer across your agent architecture.
Your agent architecture is assessed to identify where handoffs lack policy enforcement.
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