Finding Security Vulnerabilities using AI with Sami Laiho

About Show #1045

How are large language models changing the way security vulnerabilities are found? Richard chats with Sami Laiho about the rapidly changing landscape in security exploits. Certain LLM models like Anthropic's Mythos and Microsoft MDASH are optimized to find software vulnerabilities - and potentially fix them. And so there is an arms race of sorts, repairing old vulnerabilities before LLMs in the hands of black hats can exploit them. But what about everyone else? Sami talks about getting LLMs working for your organization to test for potential security risks and assess the impact of new vulnerabilities as they appear.

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Recorded June 19, 2026

 

Sami Laiho is one of the world's leading professionals in the Windows OS and Security. Sami has been working with and teaching OS troubleshooting, management, and security since 1995. Sami's session was evaluated as the best session in TechEd North America, Europe and Australia in 2014, and Nordic Infrastructure Conference in 2016, 2017, 2019, 2020, 2022, 2023, 2024 and 2025 (Keynote for NIC). At Ignite 2018 Sami's sessions were ranked as #1 and #2 out of 1708 sessions!! This was the first time in the history of the conference that anyone has been able to do this! Sami is also an author at PluralSight and the conference chair for the TechMentor and "Cyber Security and Ransomware Live!" conferences.
 

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