Start Here: What is FuseGov?
Runtime enforcement + evidence for AI agents operating in production.
The 30-Second Explanation
The Problem: AI agents can plan, decide, and execute actions at machine speed— faster than humans can supervise. Traditional security (IAM, SIEM) can't keep up.
The Solution: FuseGov intercepts every agent action at runtime, evaluates it against policies and behavioral baselines, and either allows, blocks, or escalates for human approval.
The Outcome: Every decision produces immutable evidence—so you can prove exactly what happened, why it was allowed or blocked, and under which approved policy.
Who It's For
CISO / Security
Enforce controls at runtime, not just policy documents. Get audit-ready evidence.
Security Architecture
Design governance into the agent stack with gateway and sidecar patterns.
GRC / Compliance
Map controls to evidence. Prove operating effectiveness without manual collection.
AI Platform Teams
Deploy agents safely with bounded tools, registries, and approval workflows.
Deployment Options
Gateway
Centralized enforcement for shared/high-risk tools. Consistent visibility across all agents.
Sidecar
Per-agent enforcement close to workloads. Fast, resilient, team-autonomous.
Hybrid (Recommended)
Sidecars for speed + Gateway for central visibility and high-risk controls.
What We Measure in a Pilot
These are the metrics we track during design partner pilots to demonstrate value:
What You Get in a Pilot
Deliverables
- Tool Registry with risk tiers for your top 10 tools
- Policy bundle tailored to your use case
- Evidence pack export to your SIEM / GRC platform
- Pilot success report with metrics above
Timeline
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.
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
- Start in observe-only, then enforce high-risk actions
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
- Evidence for every intervention (who did what, why, when)
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
- Evidence chain connects intent → action → outcome → accountability
Ready to Get Started?
Join our design partner program for hands-on implementation support.