
Sign up to save your podcasts
Or


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.
–
Full transcript available here: https://www.complexsystemspodcast.com/machine-learning-meets-malware-with-caleb-fenton/
–
Sponsor: Mercury
This episode is brought to you by Mercury, the fintech trusted by 200K+ companies — from first milestones to running complex systems. Mercury offers banking that truly understands startups and scales with them. Start today at Mercury.com
Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group, Column N.A., and Evolve Bank & Trust; Members FDIC.
–
Links:
–
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
By Patrick McKenzie4.8
132132 ratings
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.
–
Full transcript available here: https://www.complexsystemspodcast.com/machine-learning-meets-malware-with-caleb-fenton/
–
Sponsor: Mercury
This episode is brought to you by Mercury, the fintech trusted by 200K+ companies — from first milestones to running complex systems. Mercury offers banking that truly understands startups and scales with them. Start today at Mercury.com
Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group, Column N.A., and Evolve Bank & Trust; Members FDIC.
–
Links:
–
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

1,940 Listeners

4,269 Listeners

2,456 Listeners

1,095 Listeners

95 Listeners

95 Listeners

517 Listeners

130 Listeners

150 Listeners

135 Listeners

472 Listeners

393 Listeners

96 Listeners

96 Listeners

36 Listeners