Tamper-evident audit trails for AI agents.
An AI agent audit trail must answer who authorized what action, under which policy, with what parameters, and whether the approval was evaluated before execution. Application logs alone cannot provide this evidence.
AI Syndicate produces pre-execution evidence at the enforcement boundary. Each governed action generates an attributable record linking actor identity, delegated authority, policy version, approval state, execution parameters, permit scope, and outcome. The evidence chain is independently verifiable without trusting the runtime that produced the action.
Evidence required for agent forensics.
Reconstructing an AI agent execution requires evidence across fifteen dimensions. Each dimension must be captured before or during execution, not reconstructed after impact.
Actor identity
Who or what initiated the action, including delegated authority chain
Intent and proposed action
The specific action, parameters, and target resource as proposed before execution
Policy version
The exact policy version evaluated against the proposed action
Model and provider
Which model and provider processed the request, when applicable
Inputs and relevant context
The inputs and execution context admitted during policy evaluation
Approval record
Approver identity, approval scope, parameter binding, and timestamp
Tool requests
Each tool call, its parameters, target, and whether it was permitted or denied
Execution permit
Permit scope, time-to-live, and lineage reference
Execution result
Success, partial success, failure, or denial outcome with response data
Failure state
Which control point failed and whether the system failed closed
Timestamps and ordering
Complete chronological record of every decision and execution step
Integrity references
Cryptographic hashes or HMAC signatures linking each record to its predecessor
Lineage links
Predecessor references enabling deterministic reconstruction of the execution chain
Revocation state
Whether any approval or permit was revoked before execution completed
Settlement status
Whether the action settled successfully or was rolled back
What application logs miss.
Application logs are essential for operations. They are not designed for governance reconstruction. The gaps become material when an auditor, regulator, or incident reviewer asks for proof of authorization.
Reconstruction without runtime trust.
AI Syndicate evidence can be verified independently of the runtime that produced it. Hash-chain continuity, HMAC signatures, and deterministic replay enable auditors to reconstruct the execution chain using only the exported evidence artifacts and public verification keys.
Hash-chained continuity
Each evidence record links to its predecessor via cryptographic hash. Tampering with any record breaks the chain and is detectable without access to the original runtime.
HMAC-signed artifacts
Evidence artifacts are signed with keys derived from the enforcement boundary identity. Verification does not require trusting the system that produced the artifact.
Deterministic replay
Given the evidence chain, an auditor can replay the decision sequence: request, policy evaluation, approval, permit, execution, outcome. No runtime access required.