The Cybersecurity Defenders Podcast
#163 - Practical applications of AI in cybersecurity with Rich Heimann, AI researcher & author
Oct 17, 2024
Rich Heimann, an AI researcher and committed advocate for ethical practices in technology, joins to share his insights on AI in cybersecurity. He discusses the evolution of AI perceptions and the limitations of generative models, like 'hallucinations.' Heimann emphasizes the importance of prompt engineering and collaboration between data science and legal teams. He also covers practical strategies for businesses adopting AI, particularly through existing SaaS models, and highlights the significance of Retrieval Augmented Generation for managing data effectively.
46:19
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Quick takeaways
- Rich Heimann emphasizes the importance of understanding distinctions between AI and machine learning to accurately assess their impacts in cybersecurity.
- Effective AI application in cybersecurity requires a holistic approach that includes prompt engineering and a deep grasp of technology limitations.
Deep dives
The Evolution of Artificial Intelligence
The journey into artificial intelligence for many professionals often stemmed from unexpected beginnings, much like Rich Hyman's experience rooted in statistics and geography. His initial work at organizations such as DARPA focused on complex data analysis rather than the conventional understanding of AI. Over the years, he found himself deeply enmeshed in machine learning, especially concerning network defense. This evolution highlights how diverse backgrounds can converge into the AI space, emphasizing the necessity for adaptable knowledge in rapidly changing technological landscapes.
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