[un]prompted 2026 – Traditional ML vs. LLMs: Who Can Classifv Better?

The post [un]prompted 2026 – Traditional ML vs. LLMs: Who Can Classifv Better? appeared first on Infosecurity.US.
Author, Creator & Presenter: Xenia Mountrouidou, Principal Cyber Data Scientist At Expel

Our thanks to [un]prompted for publishing their Creators, Authors and Presenter’s outstanding [un]prompted 2026 AI Security Practitioner content on the Organizations’ YouTube Channel.

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*** This is a Security Bloggers Network syndicated blog from Infosecurity.US authored by Marc Handelman. Read the original post at: https://www.youtube-nocookie.com/embed/fAmr0N2rHIU?si=-4XyUIJ4jeLxk0Y8

About Author

AndyC

Andy Curtis is an award-winning security consultant, researcher and public speaker. He has been working in the computer security industry since the early 1990s, having been employed by state and federal government, leading healthcare and banking providers across three continents. He has given talks about computer security for some of the world’s largest companies, worked with law enforcement agencies on investigations into hacking groups, and is a regular voice on TV and radio explaining IT security threats.

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