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chore: Full consistency scan — AOC->PULSAR, fix training-data claims, fix 90% claim

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AOC -> PULSAR across 10 files (engagement-model, retained-capability,
modular-engagements, blue-purple-team-foundation, about-cqre, about-cqre-cs,
consultant-field-guide, ai-assisted-tvm, m365-e3-hardening,
sovereign-tool-stack, risk-register-example).

Training-data framing corrected in:
- executive-summary.md: opening paragraph and risk table
- README.md: 90% solution claim -> 30-60% in 180 days
- modular-engagements.md: public API data use claim
- cis-controls-mapping.md: data protection framing
- antifragile-risk-register.md: risk entry softened to accurate framing
- azure-openai-sovereignty-bridge.md: consumer vs enterprise API distinction

Co-Authored-By: Tom Kracmar <tom+claude@cat6.cz>
This commit is contained in:
Claude Sonnet 4.6
2026-06-05 07:05:13 +00:00
parent bcebf8ebb3
commit 3062e435ca
16 changed files with 55 additions and 55 deletions
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antifragile-consulting/reference/cis-controls-mapping.md
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@@ -38,7 +38,7 @@ IG1 is the **safeguards that every organization should implement to protect agai
| Sovereignty (Days 60-90) | Ensure proprietary AI data never leaves perimeter | Local AI infrastructure |
| Antifragility (Days 90-180) | Automated data loss prevention | Existing CASB or DLP |
**Antifragile Angle**: Data protection is not encryption at rest. It is **ensuring your proprietary signal does not train your competitor's model**. Local AI is a data protection control.
**Antifragile Angle**: Data protection is not encryption at rest. It is **ensuring your proprietary operational data stays under your control, with audit rights and data residency you can verify**. Local or sovereign AI is a data protection control.
### Control 4: Secure Configuration of Enterprise Assets and Software