SEC536: Adversarial AI - Penetration Testing AI Systems


Experience SANS training through course previews.
Learn MoreLet us help.
Contact usBecome a member for instant access to our free resources.
Sign UpWe're here to help.
Contact UsKey findings:
The findings point to a persistent gap between automation ambition and operational reality: organizations are investing heavily in tools and planning to expand AI and ML use, yet nearly all still depend on human intervention somewhere in the response chain. Budget constraints and a shortage of skilled personnel are the two forces most often cited as slowing that transition, and the near-even split on team structure suggests the industry has not converged on a single best model for organizing detection and response work. Respondents came primarily from the cybersecurity, banking and finance, government, and education sectors, spanning organizations from fewer than 1,000 employees to more than 50,000, with roles ranging from incident responders and SOC analysts to security managers and directors.


Josh leads global MDR at Uptycs, defending major international brands, while also serving as an independent DFIR expert advising legal, government, and commercial clients in Australia.
Read more about Josh Lemon


















