The AI Security & Threats is a structured audio course designed to guide learners through the core risks, defenses, and governance frameworks shaping modern AI systems. Each episode delivers clear, exam-relevant instruction on topics ranging from prompt injection and data poisoning to secure MLOps, governance standards, and continuous monitoring. The series blends foundational knowledge with practical examples, ensuring listeners build confidence for both certification exams and real-world application. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your certification path.
First Episodes
Episode 1 — Course Overview & How to Use This Prepcast
This opening episode provides a structured orientation to the AI Security and Threats Audio course series, helping listeners understand what the program covers and how...
Episode 2 — The AI Security Landscape
This episode defines the AI security landscape by mapping the assets, attack surfaces, and emerging threats that distinguish AI from classical application security. It...
Episode 3 — System Architecture & Trust Boundaries
This episode explains the architecture of AI systems, breaking down their stages and components to show how trust boundaries shift across the lifecycle. Training, infe...
Episode 4 — Data Lifecycle Security
This episode examines data lifecycle security, covering the journey of data from collection and labeling through storage, retention, deletion, and provenance managemen...
Episode 5 — Prompt Security I: Injection & Jailbreaks
This episode introduces prompt injection and jailbreaks as fundamental AI-specific security risks. It defines prompt injection as malicious manipulation of model input...