The Promise and Peril of Generative AI for Cybersecurity

A recent panel discussion at Black Hat 2023, Generative AI: Security Friend or Foe?, provided insights into how generative AI models like ChatGPT could impact security teams. Kelly Jackson, Editor-in-Chief of Dark Reading, moderated the roundtable with cybersecurity leaders Josh Zelonis of Palo Alto Networks, Fred Kwong of DeVry University, and analyst Curt Franklin of Omdia. The rapid emergence of generative AI presents both opportunities and risks for security professionals.

On the upside, generative models can help automate repetitive tasks and make security analysts more efficient. As Zelonis explained, AI is essential for responding at scale as environments grow more complex. Kwong highlighted benefits for threat research and education — AI can quickly summarize large amounts of data to accelerate skills development. Franklin cautioned that narrowly focused “domain expertise” AI is more realistic than general intelligence today.

This article has been indexed from DZone Security Zone

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