How to inspect a pickle model file without running it
Use pickletools to list the imports and opcodes in a pickle model file without executing it, and learn which opcodes matter when you review one.
Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
Use pickletools to list the imports and opcodes in a pickle model file without executing it, and learn which opcodes matter when you review one.
Should a content filter check what users send, what the model returns, or both? A decision guide for AI products with real users, with the trade-offs.
How to use an LLM in a threat hunt without losing rigor: write the hypothesis first, let the model draft queries, and verify every result against raw data.
Human in the loop only works if the approver sees the exact action. What to show, which actions to gate, and how to avoid rubber stamp fatigue.
The Hub scans uploads with ClamAV, a pickle import check and partner scanners. A clean result lowers risk but is not proof a model is safe to load.
Sort AI systems into risk tiers using data sensitivity, impact on people, autonomy and reach, so reviews match the real stakes of each system.
A pre launch test plan for a customer facing chatbot: gold answer sets, repeat runs, adversarial prompts and a takedown rule, drawn from reported failures.
NIST's AI RMF does not prescribe risk tolerance. Here is a practical way to write one: levels, examples, limits, and who signs off on exceptions.
A code freeze for an AI agent must be enforced by permissions, not a prompt. Five controls to set up before the agent touches a shared system.
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