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@@ -285,20 +285,20 @@ A mature AI red team anticipates future threats and drives systemic improvement
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## 45.11 Conclusion
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**Key Takeaways:**
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### Key Takeaways
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- Building a world-class AI red team requires a holistic approach spanning people, processes, and technology.
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- The lifecycle must cover everything from specialized scoping to consequence validation and remediation.
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- Understanding unique AI vulnerability classes is prerequisite to effective testing.
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- Integration into the SDLC (shifting left) allows for sustainable, scalable security.
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**Recommendations:**
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### Recommendations
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- Start with clear mandate and objectives aligned with business risk.
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- Invest in diverse talent: combine offensive security with ML engineering.
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- Establish repeatable processes and leverage automation where possible.
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**Next Steps:**
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### Next Steps
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- Begin with pilot engagements to demonstrate value.
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- Build internal capabilities iteratively, moving from ad-hoc testing to continuous assurance.
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