SOP 초안 작성, 감사 대응, CSV 및 21 CFR Part 11 규제 준수를 위한 특화 에이전트 연동 대화형 AI 인터페이스.
Saram Consulting바이오텍, 인공지능, 규제 컴플라이언스의 융합에 관한 심층 전략 및 실전 아키텍처 분석.
AI agents designed for pharmaceutical computer system validation converge on the same architecture — and consistently miss the single most important regulatory precedent. Here's what the consensus gets right, where it diverges, and the three blind spots that should shape every CSV AI strategy.
글 읽기 →Building local RAG on Claude Enterprise converges on a single architecture: hybrid retrieval with contextual compression, chunk-level reranking, and strict metadata filtering. Anthropic's own benchmarks confirm it works.
글 읽기 →AI agents break every assumption traditional IAM was built on. A deep dive into the protocols, paradigms, and standards fighting to answer the hardest question in agentic security: how do you authenticate and authorize something that reasons?
글 읽기 →Making AI deterministic enough for GxP computer system validation requires constrained generation, ensemble verification, and structured output enforcement. The regulatory framework — FDA CSA, EU Annex 22 — has finally caught up to define what's required.
글 읽기 →Model Context Protocol servers belong in regulated life sciences — but current implementations are compliance landmines. The consensus across the industry is clear: MCP works, but only with scoped tool permissions, audit-trail integration, and a validated sandbox layer no vendor has shipped yet.
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