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.
Car plants run thousands of robots and controllers. AI agents add new inputs and command paths. Use ISO 10218, IEC 62443 and NIST 800-82 to frame the risk.
Build a small private eval set from your own findings, score accuracy and invented answers, test hostile input and keep a human gate. A hands on checklist.
Fleet agents, remote assistants and onboard models add inputs, tools and decisions to a vehicle threat model. Extend yours with NIST and OWASP guidance.
Log who asked, what the agent saw, which tool it called, with what arguments, and what came back. Keep logs tamper resistant and tied to a human identity.
An AIBOM lists the models, datasets and components inside an AI system. Use this checklist to record what you would need after an incident or an audit.
An AIBOM lists each model, its datasets, training method, dependencies and limits. Use this field list from CycloneDX and SPDX to start small.
An AIBOM lists the models, datasets and configuration behind an AI system. See what fields to capture, which formats exist, and where teams go wrong.
An AI incident runbook adds model, prompt and tool steps to normal incident response. Use this outline to contain, investigate and recover safely.
An AI incident runbook adds model, data and agent steps to normal IR. These are common mistakes and the sections to write before something goes wrong.
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