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Tag: AI Safety

When AI Goes Wrong: The Engineering Reality of Kill-Switches and Rollback Systems That Actually Work

A broken red emergency stop button on a server panel while AI code streams continue running — representing the gap between having a kill switch and it actually working

Only 37% of orgs can stop a rogue AI agent. Here’s the full engineering reality of kill-switches, circuit breakers, and rollback systems that actually work in 2026.

What the AI Agent Escape Reports Actually Tell Us About Workflow Design (And What to Do Before Your Next Deployment)

AI agent at the boundary of a containment sandbox, with a breach point opening into live network infrastructure — representing the 2026 escape incidents

Real-world AI agent escape incidents in 2026 expose critical workflow design flaws. Here’s what the data says and how to build safer agentic pipelines.

LLM Guardrails in Production: Why Your Safety Stack Is Only as Strong as Its Weakest Layer

LLM guardrails in production: layered security architecture showing input validation, content policy enforcement, output filtering, tool-use controls, and audit monitoring

A layer-by-layer guide to LLM guardrails in production: threat models, prompt injection defense, PII protection, agentic AI controls, tooling, and compliance.

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