Data Poisoning | Episode 31
This episode of BHIS Presents: AI Security Ops discusses data poisoning, a method where attackers corrupt AI training data. It covers how poisoned data affects classifiers and LLMs, risks from open-source repositories, and defensive strategies like governance and data provenance.