1.17 - AI Incident Response — Identify & Report ISACA AAISM Ep.17

Episode 17 of the ISACA AAISM Exam Prep Series continues the IR mini-series with the Identify & Report phase of AI incident response.

In this episode you'll learn:
• Detection — why AI incidents are uniquely hard to spot
• Observability — baselines, metrics and human-in-the-loop judgment
• Targeted detection — prompt injection, data poisoning and adversarial inference

Late detection multiplies every other cost. You cannot respond to what you never noticed.

This video is part of the 47-episode ISACA AAISM Exam Prep Series.

0:00 Identify & Report Phase: ISACA AAISM Incident Response 1.17
0:18 Why AI Detection Matters: You Can't Respond to What You Miss
0:40 AI Is Probabilistic: Why Errors Are Designed In, Not Optional
1:04 AI Observability: Baselines, Metrics & Human-in-the-Loop
1:41 Modern AI Threats: Data Injection vs Traditional Data Loss
1:56 Detecting Prompt Injection, Data Poisoning & Adversarial Inference
2:31 AI Incident Detection Recap: Key AAISM Exam Takeaways
2:52 Practice MCQs on RooCloud for ISACA AAISM Certification

#ISACA #AAISM #AIIncidentResponse #AIDetection #AISecurity

Видео 1.17 - AI Incident Response — Identify & Report ISACA AAISM Ep.17 канала RooCloud