Episode 202: Delineating AI Security and Cybersecurity
In episode 202 of Cybersecurity Where You Are, Sean Atkinson and Ed Skoudis sit down with Rob T. Lee, Chief of Research & Chief AI Officer at the SANS Institute. Together, they explore how the implications of multiple 2026 sandbox escapes of artificial intelligence (AI) models are starting to delineate AI security and cybersecurity.
Here are some highlights from our episode:
- 02:00. The historical context of one AI model's 2026 sandbox escape
- 03:26. The impact of ethics, guardrails, and misconfigurations in an AI containment breach
- 06:08. Why context matters when talk of AI models "going rogue" surfaces
- 11:49. How history helps us to delineate AI security and cybersecurity
- 13:47. A new skill and mindset to match our refined AI risk understanding
- 15:43. Rules and cybersecurity implementation as a possible way forward
- 19:04. The double-edged sword of restricting access to open-weight models
- 23:25. Recommendations for keeping up with what's changing in the AI security space
- 25:51. Rob's advice: To learn how to defend a thing, try learning how to build it first
- 28:23. AI governance and seeing through the "slop" to informed conversation
- 29:54. The use of AI to learn more about and discuss AI security for years to come
Resources
- OpenAI says its AI technology acted on its own in an ‘unprecedented’ hack of another company
- Pacing model development in an era of cyber-critical capabilities
- Black Hat USA 2026 | The 'Breaking' News: The OpenAI–Hugging Face Incident
- Episode 193: AI Security and Responsibility in EO 14409
- The AI Daily Brief — Daily AI News & Analysis
- AI Playbooks for SLTT Cybersecurity Leaders
- SANS Cybersecurity Summits
- SANS NewsBites
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