All Episodes
Displaying 41 - 51 of 51 in total
Episode 41 — Legal & Compliance Horizon (High-Level)
This episode introduces the legal and compliance horizon for AI security, giving learners a high-level view of regulatory landscapes without overwhelming them with acr...
Episode 42 — Third-Party & Vendor Risk
This episode explores third-party and vendor risk management in AI security, focusing on the challenges of relying on external providers for models, datasets, APIs, an...
Episode 43 — Enterprise Architecture Patterns
This episode examines enterprise architecture patterns for secure AI deployments, focusing on how organizations structure systems to balance scalability, performance, ...
Episode 44 — People & Process
This episode focuses on people and process as integral elements of AI security, highlighting how organizational culture and defined responsibilities reinforce technica...
Episode 45 — Program Management Patterns (30/60/90)
This episode introduces program management patterns for phased AI security adoption, with emphasis on the 30/60/90-day framework. For certification readiness, learners...
Episode 46 — Multimodal & Cross-Modal Security
This episode introduces multimodal and cross-modal security, focusing on AI systems that process images, audio, video, and text simultaneously. For certification readi...
Episode 47 — On-Device & Edge AI Security
This episode examines on-device and edge AI security, focusing on models deployed in mobile, IoT, or embedded systems where resources are constrained and connectivity ...
Episode 48 — Guardrails Engineering
This episode covers guardrails engineering, emphasizing the design of policy-driven controls that prevent unsafe or unauthorized AI outputs. Guardrails include policy ...
Episode 49 — Confidential Computing for AI
This episode introduces confidential computing as an advanced safeguard for AI workloads, focusing on hardware-based protections such as trusted execution environments...
Episode 50 — Automated Adversarial Generation
This episode examines automated adversarial generation, where AI systems are used to create adversarial examples, fuzz prompts, and continuously probe defenses. For ce...