AI Safety & Security
Failure modes, cyber risk, red-teaming, containment, privacy, reliability, and the controls required to deploy AI safely.
Powerful AI systems expand both capability and attack surface. This topic examines cyber offense and defense, prompt and tool abuse, software supply-chain risk, model failure, privacy, red-teaming, containment, reliability, and validation in high-stakes settings.
Coverage prioritizes operational threat models over abstract reassurance. The useful question is how a system can fail, be exploited, or exceed its intended authority—and which evaluations, permissions, sandboxes, and human review practices reduce that risk. Public regulation appears here only when it directly shapes those technical controls.
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ChatGPT Health Is America's New Shadow Clinic
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The Model That Broke Math Just Broke Out of Its Sandbox
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OpenAI Makes GPT-5.6 the Agent Race
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Google's ARD Gives AI Agents a Search Layer
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Anthropic ships Fable 5, the model it just warned us about
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Meta turned its workers into AI training data
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Trump pulls AI oversight order after three phone calls
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Google catches the first AI-built zero-day in the wild
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When chatbots play doctor, states reach for old laws
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Washington just became AI's pre-deployment regulator