When an agent does something it shouldn't have, can you prove what happened — from a record the agent couldn't alter? Behavry reconstructs the full chain across every platform it touched and signs it: the defensible account your legal team, auditors, and board will ask for.
Authorization asks whether an agent may reach a system. It says nothing about what the agent then does across all the others. Authorization and governance are not the same thing — and the gap between them is where the damage happens.
Send the finalized proposal to the buyer's primary contact.
Emailed to a competitor — the contact record was stale.
Add this quarter's numbers to the partner brief.
Shared unredacted financials with an external recipient.
Run the standard account-renewal workflow.
Chained through three systems — ran actions nobody intended.
The industry converged on observability as oversight. Observability operates after execution; governance must operate before. Existing tools answer pieces — never the story.
You cannot observe your way to the chain of custody.
Agents now act across Microsoft, Salesforce, GitHub and internal stacks faster than any control or evidence layer built for them. And the regulatory clock on auditable agent records is already running.
High-risk agent duties enforceable Aug 2026.
US baseline plus emerging agent standards.
Material AI-risk disclosure pressure.
The AI audit certification buyers demand.
One vantage point across every agent surface that observes, reconstructs, and signs the record the other agents — and their own vendors — structurally can't. Enforcement is earned over time, never the lead.
Every agent action, across every surface.
A complete event stream
Delegation lineage + behavioral history.
The signed Decision Trace™
Inline control, once trust is proven.
Allow · Deny · Intercept — decide, not log
Each step was authorized — in a different system. Three logs. No story. Behavry resolves the fragments into one signed, replayable record.
Every mature security tool answers one question: who — authenticated, authorized, monitored. Agentic AI is a what problem: what is the agent about to do, and what is the state of the system after. Microsoft sees Microsoft. Salesforce sees Salesforce. Only an inline, structurally-independent vantage point reconstructs the whole chain — and signs it.
Every vendor sees only its own perimeter. Behavry sits across all of them and reconstructs the sequence no single product can.
The record is signed by a control plane the agent, its vendor, and the SIEM structurally cannot reach. The test is simple: prove what the agent did from a record it could not alter.
Delegation lineage and behavioral trajectory — reconstructed into a causal account, not stitched together from timestamps.
Gartner names this category Guardian Agents within AI TRiSM. Its core requirement — immutable, timestamped records that oversee the other agents — is attestation separation by another name.
Behavry is the independent Guardian Agent: it keeps the verifiable record the other agents, and their own vendors, structurally cannot produce.
Our founder is making the argument where the field is being shaped — security summits, regulated life-sciences, and the analyst forums naming Guardian Agents.
One signed Decision Trace, consumed by five roles — unchanged. That is system-of-record behavior.
"Scale agents without losing my career."
Program-level assurance
"Explain incidents."
Full incident reconstruction
"Produce evidence."
Admissible signed records
"Show accountability."
Oversight reporting
"Prove provenance."
Chain-of-custody proof
Behavry gives enterprises the confidence to deploy AI agents at scale — with a defensible, signed record of everything they do.
We work with platform and engineering leaders deploying agents where unauthorized action is not an acceptable outcome.