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41473d9db2 docs(brief): add MS AI Security plugin as second consumer; source-trust disposition
Second target consumer named: MS AI Security plugin, an ingestion
pipeline over Microsoft Learn content that includes user-generated Q&A
(learn.microsoft.com/answers, plus ingested MSDN/Stack Overflow). This
is the high-untrust case where the contract is load-bearing, not
hygiene. New design principle 4.7: disposition scales with source trust
(pinned changelog = WARN; open UGC = quarantine/hard-fail on high
severity). Day-1 rationale: architectural controls are cheap to design
in, expensive to retrofit (consumer 1 is proving that at its A13).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01HPAmFyEVWbwvmSNVdXTu4d
2026-07-04 06:26:55 +02:00
b505f70485 docs: design brief for reusable LLM ingestion-pipeline security library
Brief-stage repo. docs/BRIEF.md defines a minimal, framework-agnostic
library that packages the write-time ingestion contract (sanitize ->
fence -> tool-less quarantined transform -> per-stage capability
isolation -> scan output before persist -> fail-secure) as reusable
code. Positioned honestly against query-time guardrails (LLM Guard,
NeMo, Rebuff, Vigil) with a prior-art verification log. Reference
implementation: claude-code-llm-wiki Stage B.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01HPAmFyEVWbwvmSNVdXTu4d
2026-07-04 06:18:32 +02:00