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>
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
+1 -1
View File
@@ -79,7 +79,7 @@ The **Brownhat methodology** is the operational posture behind every engagement:
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.
- **Speed is a security control.** A 90% solution deployed today outperforms a 100% solution that ships in six months.
- **Speed is a security control.** A realistic engagement delivers 3060% of an ideal posture in 180 days — infinitely better than the 100% solution that stays in planning and never ships.
- **Work beats purchases.** Most organizations own 60-80% of the capabilities they need. We configure and operationalize before we shop.
- **Every fix must produce a signal.** A remediation without telemetry is a remediation that will rot.