StackRail·APRF
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Guides · APRF practice notes

Data Guides

Govern corpora, retrieval ACLs, and memory. These guides support APRF Data Privacy, Data Governance, and Memory Management.

Privacy, corpus control, and memory — APRF Data domain.

For injection and secrets patterns, see Security guides.

AI Production Readiness Framework

Related APRF controls

  • Data Privacy
  • Data Governance
  • Memory Management
  • AI Memory and Session Retention Risks

    "Remember everything" is a product feature and a compliance liability. Production memory needs retention limits, isolation, and purge paths.

  • RAG Corpus Ownership, Classification, and Retention

    If nobody owns the corpus, classification is informal, and retention is forever, retrieval will leak and rot. APRF Data Governance requires ownership, labels, and lifecycle—not only ACLs at query time.

  • RAG Data Leakage and Corpus Governance

    Retrieval-augmented generation fails when the index is a dump of everything. Production RAG needs corpus governance—who can index what, who can retrieve what, and how leaks get caught.

Assess against APRF Core

Run the Core Profile quiz — gated pass/fail blockers for AI production readiness, not a vanity score.

Start Core AssessmentBrowse framework

Working-draft publisher of the AI Production Readiness Framework (APRF).

Published by StackRail · not a ratified standard

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