Ian Swanson is the Co-Founder & CEO of Protect AI which secures AI and ML systems. He was previously the Co-Founder & CEO of Datascience.com which sold to Oracle, where he was VP AI & ML and then was Worldwide Leader of AI & ML at AWS before starting Protect AI. I’m also joined by Emilio Escobar, CISO of Datadog as a special co-host! In this episode, we dive into what is ML & AI Security, the different types of attacks that hackers are using, and how teams can best secure their systems. We also talk about MLSecOps and why an ML BOM (Bill of Materials) is needed. Finally, we cover emerging attack surfaces and how LLMs will change both adversarial and defensive security products.
Where to Find Ian:
Twitter: https://twitter.com/ianrswanson
LinkedIn: https://www.linkedin.com/in/ianswanson/
Company Website: https://protectai.com/
MLSecOps Community & Podcast: https://mlsecops.com/
Where to Find Emilio:
Twitter: https://twitter.com/eaescob
LinkedIn: https://www.linkedin.com/in/emilioesc/
Emilio’s Newsletter: https://emilioe.substack.com
Where to Find Shomik:
Twitter: https://twitter.com/shomikghosh21
LinkedIn: https://www.linkedin.com/in/shomik-ghosh-a5a71319/
Software Snack Bites Newsletter: https://www.shomik.substack.com
Software Snack Bites Podcast: Apple Podcasts, Spotify, Google.
In this episode, we cover:
(00:41) - Ian and Protect AI’s Background
(03:54) - Enteprise Adoption in AI & ML
(07:11) - What is MLSecOps and the Supply Chain Behind AI & ML
(14:23) - ML Poisoning Attacks & New Adversarial Attacks Emerging
(24:01) - State of Enterprise ML Teams and Understanding of Security
(30:46) - Differences Between AI & ML Security
(35:54) - New Attack Surfaces
(43:15) - CISO Viewpoint on How to Manage AI Adoption in an Org
(50:15) - How AI is Advancing Adversarial and Defensive Security Techniques & Tooling
(55:50) - Vision of the Future for What Good AI Security Enables
Show Notes:
How to Subscribe:
Available on Apple Podcasts, Spotify, or Google.
#17 - Ian Swanson (CEO of Protect AI) & Emilio Escobar (CISO of Datadog) - Deep Dive into ML & AI Security, Emerging Attack Surfaces, MLSecOps, and LLMs Use in Adversarial and Defensive Security