HaltState Knowledge Hub
Field notes on runtime action control, retail agent governance, Proof Packs, and evidence-driven AI governance.
The AI Containment Era Has Begun
An incident-led analysis of why model safeguards and sandboxes need an independent action-control layer before an autonomous agent reaches money, data, communications, or production systems.
Read the incident analysisPrevent unsafe tool calls and respond to agent incidents.
Review the runtime safety pattern before connecting OpenClaw to sensitive tools, or use the emergency checklist if an agent has already deleted, sent, spent, or changed something.
Your AI Agent Is One Bad Prompt Away From Disaster - Here's Proof
A careful look at publicly discussed agent failure patterns and why runtime action control matters.
Guide | August 15, 2025The Definitive Guide to AI Agent Governance
Why runtime enforcement matters, how to implement kill switches and approvals, and what regulators are starting to expect.
Engineering | November 18, 2025AI Agent Kill Switches in Production: Design Patterns That Actually Work
Design patterns for scoped emergency controls that stop unsafe agent actions without destroying useful systems.
Engineering | January 6, 2026Proof Packs: Cryptographic Evidence for AI Agent Actions
Learn how signed Proof Packs record AI agent policy decisions with full-content digests, tenant-scoped verification, and clear assurance boundaries.
Compliance | October 22, 2025Complying with California SB 53 (TFAIA): A Technical Blueprint
An engineering-oriented interpretation of the technical and operational controls teams will need for transparency, incident response, and accountability.