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The Tool Registry: Governing the Action Surface for AI Agents
Why most agentic AI failures are tool failures—not model failures—and how an AI agent inventory turns 'allowed actions' into enforceable, auditable controls.
Blog
Expert insights on autonomous system governance, AI safety, and cloud automation control.
Reference Architecture Series
A comprehensive guide to building production-grade governance for agentic AI systems.
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Policy Bundles: Versioned, Signed Controls for Runtime AI Governance
Why AI governance fails without deployable policy artifacts—and how Policy Bundles turn intent into enforceable controls with drift detection, rollback, and audit-grade traceability.
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The Operational Authenticity Layer: A Complete Reference Architecture for Governing Agentic AI in Production
A full-stack, audit-ready architecture for agentic AI governance: policy lifecycle, registries, hybrid enforcement, approvals, and immutable evidence.
•9 min read
Hybrid Runtime Governance for Agentic AI
A practical reference architecture for runtime governance using an AI gateway and sidecar. Enforce, verify, and evidence AI agent actions in production.
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Golden Path Demo: Intent → Action → Outcome → Accountability
A guided walkthrough of the FuseGov closed-loop: an agent attempts a high-risk action, enforcement escalates to a human approver, outcomes are verified against intent, and an Evidence Pack is produced.
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A Practical Reference Architecture for Agentic AI Controls
Gateway/Sidecar + Evidence Pipeline. When orgs say they want 'AI governance', they usually mean policies or model-level safety. But neither is sufficient once you deploy agents that can take real actions.
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Control-to-Evidence Traceability: The AI Audit Trail
How to implement a robust AI audit trail with Evidence Packs. Ensure control-to-evidence traceability for agentic AI compliance and assurance.
Insights & Articles
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Part 3 of 3 — What is FuseGov? Governance for Systems That Make Their Own Decisions
FuseGov is the Operational Authenticity Layer: enforce intent at the boundary, prove controls with Evidence Packs, provide real-time agent visibility and intervention, and close the loop with outcome verification and human accountability.
runtime governance for AI agentsagentic AI governanceAI gatewayLLM gateway
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Agile Is Dead. Long Live FLOW.
What Happens to Delivery When Your Team Members Are AI Agents? Agile was designed to coordinate human work under human constraints. AI agents violate every one of those assumptions.
AgileFLOWAI AgentsAutonomous Delivery
•9 min read
From AI Experiments to AI Sprawl: Governance Can’t Be an Afterthought
Most organizations accumulate AI agents before they build governance. FuseGov adds discoverability, observability, and enforced boundary guardrails — with audit-grade evidence. It’s never too late to start.
AI governanceagent governanceagent catalogAI observability
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EU AI Act Compliance Made Simple: How FuseGov Addresses All Requirements
The EU AI Act is now in force. Here's how FuseGov provides comprehensive compliance coverage for high-risk AI systems through a single governance layer.
EU AI ActAI compliancehigh-risk AIAI regulation
•8 min read
The $847K AWS Bill: A Cloud Automation Governance Failure
How an IaC tool with valid credentials created 437 GPU instances at 2:47 AM and what it teaches us about cloud automation governance.
cloud automation governanceAWS automation disasterIaC governancecloud cost control
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The Missing Layer: Authenticity
Introducing Authenticity (authent) as the third pillar of cybersecurity for autonomous agents. A technical whitepaper on boundary-only evaluation and hierarchical enforcement.
AI securityautonomous agentsauthentication authorization authenticityAI governance
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Part 2 of 3 — The Boundary Problem: Why Traditional Security Fails at Machine Speed
When systems act faster than humans can respond, access control becomes insufficient. You need boundary enforcement.
boundary enforcementmachine speed securityautonomous systemsAPI gateway limits
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Part 1 of 3 — Why Autonomous Systems Need New Security
Traditional security was built for humans making decisions. Autonomous systems operate at machine speed and need a fundamentally different approach.
autonomous securitymachine speed governanceAI safetyKnight Capital