Natural-language intent
An authorized person asks an AI platform to perform a consequential task.
Governed execution for AI agents
Put a verifiable boundary between AI intent and real-world action.
BIOMUNE checks identity, scope, target, and bounded authority before an AI can change a protected system. It then observes what actually happened and records the result as signed evidence.
Current connector coverage: governed GitHub deployments, PostgreSQL migrations, and Render deployments.
One governed action
- 01VerifyWho is asking, what may be done, and where.
- 02BindLock the request to an exact target and finite authority.
- 03ExecuteRelease only the narrowly permitted provider action.
- 04ObserveCheck the provider result through a separate path.
- 05ProveIssue a signed receipt bound to the complete event chain.
The problem BIOMUNE solves
An AI response is not proof that an action was authorized—or that the outcome matches the request.
BIOMUNE does not try to make a model incapable of mistakes. It makes consequential actions pass through controls the model cannot rewrite: registered resources, exact policies, finite authority, separate credentials, independent observation, and append-only evidence.
From conversation to evidence
The AI proposes. BIOMUNE decides what may cross into action.
Policy and authority
BIOMUNE accepts only a registered action against a registered target with available authority.
Constrained execution
A purpose-built connector performs the exact approved operation with a limited credential.
Observed outcome
A separate observer checks the real state and BIOMUNE signs the resulting evidence chain.
The BIOMUNE system
Control before action. Evidence after it.
Two independent services answer two different questions. Keeping them separate is part of the security model.
01
BIOMUNE Gateway
Answers: “Was this exact action allowed?” It verifies identity and permission, reserves finite authority, dispatches through a constrained connector, and records the observed result.
- Registered targets and actions
- Exact, expiring authority
- Execution and observation separation
- Signed authorization and outcome receipts
02
BIOMUNE Witness
Answers: “Does the measured system agree with BIOMUNE’s record?” It independently fingerprints protected state and identifies changes the Gateway’s dispatch record cannot explain.
- Independent measurement credentials
- Cryptographic state fingerprints
- Explained or unexplained-change verdicts
- Separately signed verification receipts
Customer-held credentials
Your provider secrets do not belong in an AI conversation.
The BIOMUNE Relay runs outbound-only inside the customer’s security boundary. It keeps database passwords and deployment credentials local, accepts only signed short-lived work for that customer, and returns secret-free evidence.
Discuss your deployment boundary- AI receives
- Registered resource IDs, permitted actions, status, and receipts.
- Customer retains
- Provider passwords, tokens, deploy hooks, and Relay private keys.
- BIOMUNE records
- Authority decisions, state transitions, fixed failure codes, and signed evidence.
- BIOMUNE excludes
- Raw SQL, workflow payloads, credentials, and secret-bearing provider responses.
Protected systems
A common control model across different providers.
Production workflows
Bind a request to an approved repository, workflow, environment, and exact commit.
Registered migrations
Run pre-reviewed migrations with execution and read-only observation identities.
Exact deployments
Check service safety, dispatch a specific commit, and independently observe the live release.
Start with one protected action