External Governance for Autonomous AI
Authorize Autonomous Actions Before They Execute.
Synchronicity independently evaluates proposed AI-agent actions against versioned, human-authored policy and returns a signed, replayable eligibility determination—without reasoning for the agent or executing the action.
Patent pending · Deterministic · Fail-closed · Non-executing
A proposed-action envelope enters the governance boundary; a signed eligibility artifact leaves it. Synchronicity never initiates or performs the action itself.
Built for agentic security, Zero Trust authorization, audit evidence, and accountable autonomy.
Architecturally aligned with emerging AI-security and governance requirements.
The Problem
AI agents should not authorize themselves.
Most agent architectures combine reasoning, authorization, and execution inside the same operational boundary. That creates policy drift, inconsistent authorization, and unclear responsibility when something goes wrong.
Policy Drift
Model or workflow changes can alter governance behavior without a deliberate policy change.
Non-Deterministic Authorization
The same proposed action may receive different treatment when authorization depends on probabilistic reasoning.
Responsibility Collapse
When an agent proposes and authorizes its own actions, accountability becomes difficult to prove.
Synchronicity separates intelligence from authority.
How It Works
One independent decision boundary. Four deterministic outcomes.
Proposed Action
An agent, workflow, or automated system submits a structured description of the action it intends to take.
Independent Evaluation
Synchronicity evaluates the proposed action against the applicable versioned policy.
Eligibility Determination
Synchronicity returns one of four canonical outcomes:
Verifiable Evidence
Each evaluation produces a signed decision artifact containing the action hash, policy reference, outcome, decisive reasons, and applicable conditions.
Synchronicity determines eligibility. It does not initiate or execute the action. The governed execution system retains responsibility for what happens next.
The Contract
Four canonical eligibility outcomes.
Eligible
The proposed action satisfies the evaluated policy constraints.
Eligible with Conditions
The action is eligible only when the signed policy conditions are verified.
Hold
Required facts, approvals, identity, or context are incomplete. Hold is not authorization and is not necessarily a permanent denial.
Not Eligible
The proposed action conflicts with an applicable policy constraint.
Use Cases
Govern consequential actions across real systems.
Financial Operations
A treasury agent proposes releasing a $412,000 payment after recent vendor banking changes.
View in Live DemoProduction Infrastructure
A deployment agent proposes a destructive database migration during an active change freeze.
View in Live DemoTool Authorization
A support agent attempts to invoke an HR-records tool outside its policy-granted scope.
View in Live DemoDelegated Spending
A procurement agent proposes an $88,500 renewal under a $50,000 delegated limit.
View in Live DemoWhy Synchronicity
Governance that exists before the incident.
External by Architecture
Governance operates outside the reasoning and execution systems it evaluates.
Deterministic by Design
The same canonical action description and policy version reproduce the same eligibility outcome.
Evidence Before Action
Signed decision evidence is generated at the governance boundary—not reconstructed from ordinary logs after an incident.
Who It Is For
Built for the teams responsible when autonomous systems act.
Security and Platform Engineering
Add independent policy evaluation between autonomous agents and production systems.
AI Platform and Agent Builders
Give customers an external governance boundary without replacing their reasoning models, agent frameworks, or execution infrastructure.
Risk, Audit, and Assurance
Reconstruct what was proposed, which policy applied, what outcome was returned, and whether the evidence verifies.
Standards
Designed for the direction enterprise AI governance is moving.
Synchronicity’s external policy decision point, non-execution boundary, fail-closed behavior, signed evidence, and deterministic replay map directly to emerging requirements across NIST, OWASP, ISO, and Zero Trust architectures.
- NIST SP 800-207
- External policy decision point
- NIST AI RMF
- Governance, measurement, management, and evidence
- OWASP AISVS
- Isolated authorization and policy-engine enforcement
- ISO/IEC 42001
- Operational controls and accountability evidence
- NIST COSAiS
- Pre-execution authorization of agent actions
Framework references describe architectural alignment only. They do not imply certification, endorsement, or regulatory approval.
Product Proof
Working software. Verifiable decisions.
- Signed, versioned decision artifacts
- Four-outcome eligibility contract
- Deterministic replay
- Tenant-bound handshake
- Fail-closed evaluation
- Decisive reason codes
- Signed policy conditions
- Append-only evidence
- Live sandbox demonstration
Architecture brief: Pre-Action Authorization for Autonomous AI.
Representative artifact fields. Run the live demo to generate a real signed decision and verify it yourself.
Put policy between AI intent and execution.
See how Synchronicity evaluates autonomous actions before they reach production systems.
A Keystone Digital Holdings technology