chore: Full consistency scan — AOC->PULSAR, fix training-data claims, fix 90% claim
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>
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@@ -64,7 +64,7 @@ Risks related to loss of control over data, intelligence, or infrastructure.
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| Risk | Kill Chain | T0? | Antifragile Move |
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|------|-----------|-----|-----------------|
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| Proprietary data trains competitor AI models | Data → cloud AI → model improvement → competitive erosion | Yes | Deploy local or Azure OpenAI with data protection guarantees; classify AI data flows |
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| Proprietary data processed by uncontrolled AI | Data → cloud AI → residency/audit exposure → regulatory or competitive risk | Yes | Deploy sovereign or enterprise AI with verified data residency and audit rights; classify all AI data flows |
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| Cloud vendor changes terms or pricing | Terms change → operational disruption → forced migration under duress | Yes | Document exit architecture; maintain data portability; dual-vendor readiness |
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| Vendor discontinues critical service | Service ends → workflow collapse → emergency procurement | T1 | Maintain abstraction layers; escrow agreements; 90-day exit plans |
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