Agentic AI Governance Platform
Runtime Enforcement & Observability

Patent-pending two-stage enforcement architecture that intercepts, evaluates, and blocks unauthorized actions in sub-millisecond time—without touching your code.

How FuseGov Works: Black-Box Enforcement

Network-layer interception means agents can't bypass governance—they don't even know it exists.

❌ Traditional Approach (SDK-Based)

Agent Code
Import Governance SDK
Policy Check
Can be bypassed
Action
Executes
Problems: Requires code changes • Agent can disable SDK • Framework-specific

✓ FuseGov Approach (Network-Layer)

Agent
No modifications
FUSEGOV
Intercept → Evaluate → Enforce
Endpoint
Only if allowed
Advantages: Zero code changes • Impossible to bypass • Works with any framework

The Cortex Engine

Low-Latency Sidecar

Deploys as a Docker sidecar alongside your agent. No code changes required. Zero latency penalty for trusted operations.

Deterministic Degraded Modes

If the AI layer times out, the system fails safe using hard-coded matrix rules (Claim 14). You never crash.

The Black Box Recorder

Cryptographically verifiable logs for SOC2 and HIPAA auditors. Prove exactly what your agent did and why.

See It In Action

Watch FuseGov block a hallucinated DROP TABLE command in real-time.

ALLOW: SELECT * FROM users WHERE id = 123
BLOCK: DROP TABLE users; -- Hallucination Detected

Terminal View • Live Blocking

🧪 Design Partner Pilot

Dashboard (Pilot): Real-time operational visibility

Derived from boundary telemetry to show live activity, system interactions, and safe intervention controls.

1
What it shows

  • Live agent state (active / idle / escalated / blocked)
  • Systems touched in the last 15 mins / hour / day
  • Controls triggered and decisions made
  • Approval queue with context and evidence links
  • Evidence export health (SIEM/GRC/data lake)

2
What you can control

  • Pause actions (freeze tool calls safely)
  • Quarantine (block all actions + revoke identity)
  • Throttle (rate/spend caps, risk tier changes)
  • Change mode (observe → enforce → escalate)
Note: Boundary-only stops actions; terminating runtime requires runner/orchestrator integration.

3
Evidence produced

  • State transitions + decision history
  • Who paused/quarantined and why
  • Approval and exception trail
  • Outcome verification status (when enabled)

Frequently Asked Questions

What is an Agentic AI Governance Platform?

It is a specialized security layer designed to manage the high-risk action surface of autonomous AI agents. Unlike traditional LLM firewalls that only check text, FuseGov governs tool calls, data access, and outcome verification at runtime.

How does the AI Gateway differ from the Sidecar?

The AI Gateway is a centralized proxy for multiple agents, ideal for platform teams managing shared infrastructure. The Sidecar is deployed directly alongside individual agent containers for decentralized, ultra-low latency enforcement.

Does FuseGov support agent observability?

Yes. Our dashboard provides real-time visibility into agent state, systems touched, and controls triggered. This allows security teams to monitor, pause, or quarantine agents without modifying their source code.

What are Evidence Packs?

Evidence Packs are cryptographically signed audit logs containing the policy version, decision rationale, and outcome of every agent action. They are designed for compliance reporting (SOC2, HIPAA, EU AI Act).

Is there a performance penalty?

Our Stage 1 deterministic checks execute in sub-2ms. Semantic checks (Stage 2) are optional and asynchronous or synchronous depending on your risk profile, ensuring minimal impact on agentic performance.

Related Governance Resources

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