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Prompt injection, leakage, unsafe tool access, permissions, and production failure modes.
14 stories (7 articles · 7 videos)
A few good first pieces before you browse the full feed.
14 min readThreat-model an LLM workflow and add concrete controls for untrusted content, retrieval, tool calls, authorization, monitoring, and incident response.
10 min readDesign a company knowledge RAG with permission-aware retrieval, source ownership, leakage controls, and refusal behavior.
11 min readDesign a secure document-ingestion pipeline for RAG with permission metadata, OCR quality checks, source freshness, retention rules, deletion behavior, and ingestion tests.
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10 min readBuild a production AI failure-mode register with controls for hallucination, stale context, prompt injection, unsafe tool use, and weak fallbacks.
10 min readChoose a private AI deployment pattern based on data sensitivity, capability needs, cost, latency, and operational capacity.
10 min readConnect AI to email, calendars, and CRMs with least privilege, approval gates, and audit trails.
8 min readApply practical workplace rules for sensitive data, tool choice, retention, and review before using AI.
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