Visibility → Control → Evidence

Agentic AI Governance:
Visibility, Control, & Evidence

Intercept tool calls at the boundary, apply deterministic guardrails in microseconds, escalate to semantic checks only when needed, and fail safely with degraded-mode rules — while generating evidence you can export for audit and incidents.

Think: circuit breaker for risky agent actions — enforced at the boundary.
See boundary enforcement Explore Agent Catalog
Built for Platform Engineering (inventory & rollout), Security (runtime control), and GRC (evidence).

Shadow agents are already inside your org.

Teams are shipping agents into production without consistent ownership, approvals, or visibility into tool access.

  • •Who owns this agent?
  • •What tools and data can it touch?
  • •Which agents are safe for production?

FuseGov gives you control in three layers

Inventory
A single directory of agents across teams
Control
Policy bundles generated from catalog settings
Evidence
Audit-grade records you can export when it matters
Who It's For

How it works

Start with a catalog. Standardize ownership and tool access. Turn on runtime protection per agent when you're ready.

1) Register or discover agents

Choose the model that fits your org:

  • Self-register via manifest or CLI
  • CI/CD registration at deploy time
  • Platform discovery from Kubernetes metadata
Register an Agent

2) Govern ownership & lifecycle

Every agent has an owner, environment tier, risk tier, and change history.

  • • Owner + team accountability
  • • Versioning (v1.0 → v1.1)
  • • Deprecation + sunset tracking
  • • Approvals for production access
Explore Catalog

3) Enable Active Protection (optional)

Turn on runtime guardrails per agent/tool boundary with deterministic fallbacks and evidence packs.

  • • Deterministic allow/deny rules
  • • Semantic checks where configured
  • • Degraded-mode matrix on timeouts
  • • Audit-grade evidence export
View Enforcement Proxy

The evolution to Operational Authenticity

Agentic AI needs more than authentication and authorization. FuseGov evolves from boundary enforcement and evidence into a full operational control plane: real-time visibility, outcome verification, and accountable autonomy.

✅ Now

Control & Evidence at the Boundary

Enforce intent before actions execute—and produce audit-grade evidence by default.

  • Gateway/sidecar policy enforcement (allow / deny / escalate)
  • Versioned policy bundles + tool/agent registries
  • Evidence Packs exported to SIEM + GRC
Learn the architecture
🧪 Design Partner Pilot

Real-Time Agent Dashboard

See what agents are doing right now, what systems they're touching, and intervene safely.

  • Live agent activity derived from boundary telemetry
  • Systems interaction map (agent → tools → destinations)
  • Controls: pause actions, quarantine, throttle, require approval
Dashboard (Pilot)
🧭 Roadmap

Outcome Verification & Accountable Autonomy

Close the loop: verify outcomes against intent, trigger containment, and assign human responsibility.

  • Outcome observation + expected vs actual verification
  • Detect intent drift and misaligned outcomes
  • Named human owners + step-up approvals for high-risk actions
Operational Authenticity
Start HereApply as Design PartnerRead Docs

What teams want in the first 30 days

Catalog-first outcomes that make adoption easy — then expand into runtime control.

Visibility
Shadow agents surfaced fast
Discover unmanaged agents and attach ownership in the first week.
Inventory
Complete inventory in weeks
A searchable directory by capability, owner, environment, and risk tier.
Reuse
Fewer duplicate agents
Reduce repeated effort by helping teams find existing agents first.

Want proof? Try the enforcement demo. ↓

Catalog comes first. Enforcement extends when you need runtime control.

Patent-Pending Two-Stage Enforcement with Failsafe Architecture

See FuseGov in Action

Watch our deterministic engine filter 90% of AI requests in microseconds—with automatic failover to ensure zero downtime.

0.000ms
Avg Latency
0%
Stage 1 Filter
0/sec
Throughput
0%
Accuracy

Live Engine Telemetry

Simulated Demo

Stage 1: Deterministic Enforcement

Full System

Simulate System Failure

Test automatic failover when Stage 2 (AI) becomes unavailable

Select a scenario above to see FuseGov's enforcement engine in action

✅ Full system operational - Watch real-time decision-making with microsecond latency

Three-Layer Defense Architecture

Deterministic speed, AI intelligence, and automatic failover

Always On

Stage 1: Deterministic

Compiled artifacts (Hash Maps/Bloom Filters) handle 90% of traffic in microseconds. Known-safe operations get instant PERMIT; critical threats get instant BLOCK.

Technical Advantage
Zero AI dependency
read_user_profile → PERMIT
DROP TABLE → BLOCK
AI-Powered

Stage 2: Semantic

The remaining 10% of ambiguous requests route to our specialized Intent Model for context-aware boundary evaluation.

Technical Advantage
Context understanding
transfer_funds → Analyze intent
bulk_delete → Check scope
Failsafe

Degraded Mode

If Stage 2 becomes unavailable, the system automatically falls back to Stage 1-only enforcement. Critical workflows continue with deterministic protection.

Technical Advantage
No single point of failure
Safe requests → Continue
Ambiguous → Queue
Compliance

Telemetry Records

Every decision generates a cryptographically signed, tamper-evident audit trail. Compliance documentation is automatic.

Technical Advantage
Immutable evidence
CTR generation
Chain of custody

Why This Matters for Production

Mission-critical performance with enterprise-grade reliability

~0.005ms
Average Stage 1 Latency
200x faster than LLM calls
90%
Requests Filtered at Stage 1
Massive cost reduction
100K+
Decisions Per Second
Enterprise-grade throughput
100%
Uptime in Degraded Mode
Zero single point of failure

By filtering 90%+ of requests deterministically, FuseGov reduces AI inference costs by an order of magnitude while maintaining sub-millisecond response times. With automatic failover to degraded mode, your autonomous systems maintain 100% availability even during AI service disruptions. This isn't just governance—it's mission-critical infrastructure.

Ready for Production Deployment?

See the complete system with AI-powered semantic analysis, CTR audit trails, and failover orchestration.

Book a technical deep dive to explore deployment architectures, integration patterns, and Q1 2026 pilot opportunities.

Read Documentation
Patent-Pending IP
Zero Downtime Architecture
Q1 2026 Design Partners

Visibility → Control → Evidence

Start with the Agent Catalog

Get a working directory of agents in your environment — ownership, lifecycle, and tool mappings — then enable Active Protection where it matters most.

Explore Agent CatalogBook a Platform Engineering demo