Sovarch
SOVARCH
CONTROL PLANE / GOVERN
Explore control plane ↗
Independent governance for autonomous systemsPre-production / demo
The independent agent control plane

AI agents can act.Sovarch decides what they’re allowed to do.

When autonomous agents touch records, identity services, and operational systems, observation isn’t enough. Sovarch enforces deterministic policy before execution — with human approval, targeted containment, and evidence for every decision.

CONTROL MODEL
Pre-execution gate
ENGINE
Deterministic rules
EVIDENCE
Hash-chained records
SOVARCH // GOVERN · POLICY PATHFIG / A-01
IDENTITY 01AI agentsScoped · credentialedIDENTITY 02Tool / MCP gatewayCalls · egressSOVARCH // GOVERNPolicy engineScope · identity · riskDETERMINISTICAUTHORIZEDApproved actionSystems of recordHUMAN GATENamed reviewHold / deny / escalateAudit · SHA-256
01 // Inventory
Discover agents
02 // Enforce
Gate every action
03 // Prove
Preserve evidence
01 / The missing control

Traditional security sees the aftermath. Agent governance has to see the intention.

01 / VISIBILITY GAP

Shadow agent sprawl

Which agents exist? Which tools do they call? What scopes and destinations do they actually use? A complete registry must precede enforcement.

02 / ACTION GAP

Credential ≠ permission

An identity may be valid while a request is unsafe. A notes assistant should not silently gain the authority to move money or change orders.

03 / EVIDENCE GAP

Logs are not a checkpoint

Detection after an action is insufficient for high-stakes work. Policy must run before execution, and its decisions must be auditable.

02 / Reference architecture

Five functions. One deterministic boundary.

Interposed between agents and the systems they act on. Read-only observation first; controlled enforcement only when authorized.

01 / DISCOVER

Inventory

Agents, credentials, destinations, declared scope, and shadow identities.

02 / EVALUATE

Policy

Deterministic trigger → response logic with risk context. No model in the path.

03 / HOLD

Human gates

Named human review for high-risk actions before release.

04 / RESPOND

Containment

Block → revoke credentials → isolate at the configured tier.

05 / VERIFY

Evidence

Hash-chained decisions, timestamps, and verifiable action history.

03 / Governance core

Deterministic code enforces. AI only advises.

Deterministic policy

Enforcement is a pure function. You can't jailbreak a rule that never calls a model.

Human-in-the-loop

Your people approve, deny, and investigate high-risk actions — the product's whole point.

Containment ladder

Monitor, restrict, quarantine, or disable an agent in one move; the gateway enforces it from that moment.

Tamper-evident audit

SHA-256 hash chain over every decision. Break a link and the record says so.

Agent gateway

Your agents call one endpoint and get a decision back. Scoped API keys, per tenant.

See the control plane in operation.
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Sovarch / Mission

Authority should be engineered, not assumed.

Sovarch Govern is a tested reference engine advancing toward authorized pilots — not a deployed system. Sovarch Defend is a planned AI-native defense line, not yet shipping. The architecture begins with one promise: human authority above autonomous agents.

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Sovarch — Control Plane