AI lectures with Dr. Brumley Part 1 | Defining AI for CISOs

Dr. David Brumley, Chief AI Officer at Bugcrowd and a professor at Carnegie Mellon University, discusses the complexities of AI security, emphasizing the importance of understanding AI as a set of distinct mechanisms rather than a monolithic technology. He highlights how different AI mechanisms—such as machine learning, symbolic reasoning, search and planning, probabilistic AI, and hybrid systems—each have unique attack surfaces and security vulnerabilities. For example, machine learning models are prone to adversarial inputs, while symbolic reasoning systems are vulnerable through their knowledge bases. Brumley advises security leaders to ask critical questions about AI systems, such as the mechanisms involved and the system's architecture, to make informed governance and security decisions. He underscores the need for organizations to distinguish between AI as a goal and as a technique for effective policy development, noting that a significant portion of enterprises are already utilizing AI tools. The blog post serves as part of a lecture series aimed at educating security leaders on the anatomy and governance of AI systems.

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