Machine learning meets malware, with Caleb Fenton
Episode description
Patrick McKenzie (patio11) discusses software reversing and AI's transformative impact on cybersecurity with Caleb Fenton, co-founder of Delphos Labs. They explore how LLMs are revolutionizing the traditionally tedious work of analyzing compiled binaries, the nation-state cyber warfare landscape, and how AI is shifting security from reactive to proactive defense. They cover the technical details of malware analysis, the economics of vulnerability detection, and the broader implications as both defenders and attackers gain access to increasingly powerful AI tools.
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Full transcript available here: https://www.complexsystemspodcast.com/machine-learning-meets-malware-with-caleb-fenton/
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Sponsor: Mercury
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Links:
- Delphos Labs: https://delphoslabs.com/
- Virus Total: https://www.virustotal.com/gui/home/upload
- “Thel fraud supply chain”, Bits about Money https://www.bitsaboutmoney.com/archive/the-fraud-supply-chain/
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Timestamps:
(00:00) Intro
(01:20) Understanding software reversing
(03:52) The role of AI in software security
(06:12) Nation-state cyber warfare
(09:33) The future of digital warfare
(16:45) Sponsor: Mercury
(17:49) Reverse engineering techniques
(30:15) AI's impact on reverse engineering
(41:45) The importance of urgency in security alerts
(42:47) The future of reverse engineering
(43:21) Challenges in security product development
(44:46) AI in vulnerability detection
(46:09) The evolution of AI models
(48:06) Reasoning models and their impact
(49:06) AI in software security
(49:49) The role of linters in security
(57:38) AI's impact on various fields
(01:02:42) AI in education and skill acquisition
(01:08:51) The future of AI in security and beyond
(01:12:43) The adversarial nature of AI in security
(01:19:46) Wrap