Foundations of AI & Cybersecurity - Lesson 40: Scenario for Identifying Direct Model-Targeted Attacks

Foundations of AI & Cybersecurity - Lesson 40: Scenario for Identifying Direct Model-Targeted AttacksThis scenario lesson explains how AI attack indicators act as an early warning system for detecting misuse, compromise, and model drift. It covers hallucinations, output integrity attacks, sensitive information disclosure, insecure output handling,excessive agency, overreliance, and model skewing. The core message is that AI security must monitor behavior, outputs, tool use, and human reliance, not just traditional network activity.#AI#Cybersecurity#AIProjectManagement#AIGovernance#AISecurity#AICybersecurity