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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@@ -79,7 +79,7 @@ The **Brownhat methodology** is the operational posture behind every engagement:
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This practice is built on a simple, actionable stance: **move fast and fix things**. We do not wait for perfect plans. We identify the kill chain, extract value from existing investments, and close existential gaps before they become incidents.
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- **Speed is a security control.** A 90% solution deployed today outperforms a 100% solution that ships in six months.
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- **Speed is a security control.** A realistic engagement delivers 30–60% of an ideal posture in 180 days — infinitely better than the 100% solution that stays in planning and never ships.
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- **Work beats purchases.** Most organizations own 60-80% of the capabilities they need. We configure and operationalize before we shop.
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- **Every fix must produce a signal.** A remediation without telemetry is a remediation that will rot.
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