The control systems required for autonomous execution.
Technical research on AI kill switches, shutdown architecture, agent containment, protocol security, and the governance infrastructure that keeps autonomous AI systems within authorized boundaries.
Architecture(4)
What Is an AI Kill Switch? Definition & Architecture
An AI kill switch is a set of technical and operational controls that can restrict, suspend, isolate, or shut down an AI system and verify the intervention took effect.
Read articleAI Shutdown Propagation: Cross-System Enforcement
AI shutdown propagation ensures an intervention order reaches every affected component — models, agents, tools, credentials, and network routes — and each acknowledges enforcement.
Read articleFail-Closed vs Fail-Open AI Control: Default-Deny Design
Fail-closed AI control systems deny by default when policies cannot be resolved. Fail-open systems allow execution. The choice determines whether ambiguity creates risk or safety.
Read articleAI Circuit Breaker Patterns: Adaptive Autonomous Control
AI circuit breaker patterns adapt the electrical engineering concept to autonomous systems — detecting anomalous behavior and interrupting execution before damage propagates.
Read articleLegislation(3)
AI Kill Switch Act: Technical Requirements & Architecture
Analysis of the proposed AI Kill Switch Act (U.S. House, July 2026) — what the legislation would require, which technical capabilities it implies, and how to prepare.
Read articleEU AI Act Shutdown Requirements vs AI Kill Switch Act
The EU AI Act requires risk management and human oversight for high-risk AI. Compare its shutdown-related provisions with the proposed U.S. AI Kill Switch Act.
Read articleNIST AI RMF Controls: Govern Function & Kill Switch Mapping
Map the NIST AI Risk Management Framework's Govern function to concrete AI kill switch architecture — policies, roles, monitoring, and intervention capabilities.
Read articleOperations(3)
AI Incident Response Playbook: Containing Agent Failures
A structured AI incident response playbook: detect loss of control, authorize intervention, contain the system, verify enforcement, preserve evidence, and recover safely.
Read articleAI Agent Containment: Isolation Without Operational Disruption
AI agent containment isolates autonomous software — revoking tools, credentials, and network access — while maintaining operational continuity through approved fallbacks.
Read articleAI Model Rollback: Safe Reversion to Known-Good Checkpoints
AI model rollback procedures for safely reverting to known-good checkpoints — version control, state preservation, dependency mapping, and staged reactivation.
Read articleGovernance(3)
Autonomous Agent Authority: Bounded Delegation for AI
How to structure bounded authority for autonomous AI agents — delegation chains, jurisdiction scoping, time-limited tokens, and revocation without system shutdown.
Read articleAI Audit Trail Requirements: Tamper-Evident Decision Evidence
What AI audit trails must contain to support forensic investigation, regulatory inspection, and incident response — and why standard logs are insufficient.
Read articleEnterprise AI Governance: The Control Layer for Autonomy
How enterprises build AI governance infrastructure — control planes, policy engines, authority management, evidence systems, and the organizational structures that operate them.
Read articleCould you stop every consequential AI system today?
Take the 24-question Shutdown Readiness Assessment and get a scored report across 8 control domains.
Intelligence proposes. Authority decides. Control remains human.