All Episodes
Displaying 1 - 20 of 50 in total
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...
Episode 6 — Prompt Security II: Indirect & Cross-Domain Injections
This episode examines indirect and cross-domain prompt injections, which expand the attack surface by embedding malicious instructions in external sources such as docu...
Episode 7 — Content Safety vs. Security
This episode explains the distinction and overlap between content safety and security in AI systems, a concept often emphasized in both professional practice and certi...
Episode 8 — Data Poisoning Attacks
This episode introduces data poisoning as a high-priority threat in AI security, where adversaries deliberately insert malicious samples into training or fine-tuning d...
Episode 9 — Training-Time Integrity
This episode covers training-time integrity, focusing on the assurance that data, processes, and infrastructure used in model development remain uncompromised. Learner...
Episode 10 — Privacy Attacks
This episode introduces privacy attacks in AI systems, focusing on techniques that reveal sensitive or personal information from training data or model behavior. Learn...
Episode 11 — Privacy-Preserving Techniques
This episode explores privacy-preserving techniques designed to reduce the risk of sensitive information exposure in AI systems while maintaining utility of the models...
Episode 12 — Model Theft & Extraction
This episode addresses model theft and extraction, highlighting how adversaries can replicate or steal valuable AI models. Model theft occurs when proprietary weights ...
Episode 13 — Adversarial Evasion
This episode introduces adversarial evasion, a class of attacks in which maliciously crafted inputs cause AI systems to misclassify or behave incorrectly. For exam pur...
Episode 14 — RAG Security I: Retrieval & Index Hardening
This episode explores retrieval-augmented generation (RAG) security, focusing on retrieval and index hardening as foundational defenses. RAG combines language models w...
Episode 15 — RAG Security II: Context Filtering & Grounding
This episode continues exploration of RAG security by examining context filtering and grounding as defenses for reliable outputs. Learners must understand context filt...
Episode 16 — Agents as an Attack Surface
This episode introduces AI agents as a new and growing attack surface, highlighting how their autonomy and tool integration create unique risks. Agents differ from sin...
Episode 17 — Secrets & Credential Hygiene
This episode addresses secrets and credential hygiene, emphasizing their critical role in preventing leaks and privilege misuse in AI systems. Secrets include API keys...
Episode 18 — AuthN/Z for LLM Apps
This episode explores authentication (AuthN) and authorization (AuthZ) for large language model (LLM) applications, highlighting their importance in managing identitie...
Episode 19 — Output Validation & Policy Enforcement
This episode examines output validation and policy enforcement as mechanisms for controlling what AI systems produce before results are delivered to users or downstrea...
Episode 20 — Red Teaming Strategy for GenAI
This episode introduces red teaming as a structured method for probing generative AI systems for vulnerabilities, emphasizing its importance for both exam preparation ...