The MLSecOps Podcast
Risk Management and Enhanced Security Practices for AI Systems
Feb 6, 2024
In this episode, Omar Khawaja and Diana Kelley discuss a new framework for understanding AI risks, building a security-minded culture around AI, and challenges faced by CISOs in assessing risk. They explore supply chain security in AI systems, emphasize the importance of data provenance tracking, and highlight the challenges in securing the software supply chain for AI and ML systems.
38:08
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Quick takeaways
- Understanding AI basics is crucial for effective risk management in security.
- Securing AI requires a cultural shift, embracing collaboration, and growth mindset for effective protection.
Deep dives
Understanding AI and its Complexity
AI presents similar risks and concerns as traditional applications, but with different terminology. It is important for security professionals to grasp the basics of AI before diving into risk management. The complexity of AI components and terminology can be overwhelming, even for experienced professionals. Building a mental model and visual representation of AI components can help security leaders analyze risks and provide effective guidance.
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