How can AI help detect cyber threats it’s never seen before?

At CATIE, the department Algorithms & Data is investigating a new direction in cybersecurity: uncertainty-aware AI—models that can flag when they’re unsure, helping us catch zero-day attacks and reduce overconfidence in automated decisions.

Our latest blog explains the motivation behind our ongoing research into these Bayesian approaches to machine learning.

Read the article here