Securing the AI SDLC: AI Strategy & Governance and Secure AI Design | The AI TrustOps Masterclass Ch 2
Webinar
As AI technologies become a core part of your software, you need a robust strategy and a secure design methodology to manage the new risks. This chapter focuses on the first two pillars of the AI TrustOps framework: AI Strategy & Governance and Secure AI Design. We will show you how to establish a clear accountability model for AI initiatives, document your risk posture, and build a cross-functional governance team. You'll also learn how to integrate AI-native risk indicators—like bias, explainability, and hallucinations—into your systems architecture and proactively model new threat vectors introduced by AI and ML models.
Key Learnings:
- Understand how to align AI goals with business objectives and create a cross-functional governance team to manage new risks.
- Learn to consider AI-native risks like bias and hallucinations as a fundamental part of your architecture.
- Discover how to proactively identify and manage AI threats, including conducting threat modeling for new AI/ML assets and ensuring data integrity by design.
Speakers
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Scott Bekker Webinar Moderator Future B2B
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Clinton Herget Field CTO Snyk
