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AI Security

What is AIDR? AI detection and response explained

AIDR is an emerging category that watches prompts, agents, models and data pipelines for attacks and misuse. Here is what it covers and what it does not.

Oct 18, 20263 min read
AI Security

What goes in an AI impact assessment: a practical template

An AI impact assessment documents purpose, data, impacts, reassessment, costs, review and risk acceptance. A template from public federal guidance.

Oct 18, 20263 min read
AI Security

A security checklist for MCP servers in VS Code

VS Code can run MCP servers from workspace files, and local servers can run arbitrary code. A checklist on trust, config location, secrets and sandboxing.

Oct 18, 20263 min read
AI Security

Voice cloning and deepfake calls: a verification policy for teams

The FBI warns criminals use AI voice and video to impersonate executives. Set a verification policy so a convincing call cannot move money or access.

Oct 18, 20263 min read
AI Security

USENIX package hallucination study: what the numbers mean

A USENIX Security 2025 paper tested 16 code models and 576,000 samples for invented packages. What the figures say, what they do not, and what to do.

Oct 18, 20263 min read
AI Security

Turning AI red team findings into regression tests

How to convert each successful AI attack into a repeatable regression test, so fixes stay fixed when prompts, models or data sources all keep changing.

Oct 18, 20263 min read
AI Security

trust_remote_code=True: what actually runs on your machine

trust_remote_code=True lets a Hub repository supply Python modeling code that runs locally. Here is when you need it and how to review it first.

Oct 18, 20263 min read
AI Security

torch.load weights_only: what it does and does not cover

weights_only=True limits what torch.load will unpickle to tensors and simple types. Here is what that buys you, and where you still need to be careful.

Oct 18, 20264 min read
AI Security

Tool permissions vs guardrails: which control does what

Permissions limit what an agent can do. Guardrails check what it tries to do. A decision guide to using both, grounded in OWASP and MCP guidance.

Oct 18, 20263 min read

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