Navigating the Challenges of AI Model Consistency

In this episode, Ashish Rajan talks with Harry Wetherald, Co-Founder & CEO of Maze, about the reality of modern vulnerability management. They explore why current tools like CNAPPs can generate up to 90% false positives and how AI agents can provide a real solution by thinking like a security engineer to identify genuine, exploitable threats. Learn about the challenges of building your own AI solutions and how this new approach can eliminate noise and build trust between security and engineering team

Guest Socials -⁠ ⁠Harry's Linkedin

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If you are interested in AI Cybersecurity, you can check out our sister podcast -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AI Cybersecurity Podcast

Questions asked:

(00:00) Introduction(02:27) Who is Harry Wetherald?(04:45) The "Wall of Red": Why Security Tools Create 90% False Positives(06:21) The Mission: Solving Vulnerability Overload with AI(10:11) How an AI Agent Investigates a Vulnerability(16:09) The Hard Reality of Building Your Own AI Solution(18:14) Building for a Future of Evolving AI Models(20:00) What is the Role of an MCP (AI Copilot)?(27:31) Building AI Agents for Cloud Security(31:25) "Think Like a Hacker": Asking AI to Red Team Your Cloud(33:04) How AI Will Shape Security Programs in 2025 & Beyond(36:20) Fun Questions with Harry

Thank you Maze for sponsoring this episode.