Certified - AI Security Audio Course

Welcome to the AI Security Course

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 certification purposes, learners…

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 (TEEs), secure enclaves, and…

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 domain-specific languages…

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 may be intermittent. For…

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 readiness, learners must understand…

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 must understand how phased…

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 technical defenses. For certification…

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, and resilience. For…

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, and infrastructure. For…

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 acronyms. For certification…

Episode 40 — Content Provenance & Watermarking

This episode examines content provenance and watermarking as methods to authenticate AI-generated or human-created content, providing assurance of originality and integrity. Provenance involves…

Episode 39 — Deepfakes & Synthetic Media Risk

This episode explores the risks of deepfakes and synthetic media, examining how generative AI enables the creation of realistic but deceptive audio, video, and images. For certification, learners…

Episode 38 — Incident Response for AI Events

This episode addresses incident response for AI-specific security events, focusing on structured detection, containment, and remediation. Learners must understand that AI incidents differ from…

Episode 37 — Secure SDLC for AI

This episode examines the secure software development lifecycle (SDLC) for AI, emphasizing integration of security at each stage of system creation. Learners must understand that AI-specific risks…

Episode 36 — OWASP GenAI/LLM Top 10

This episode introduces the OWASP GenAI/LLM Top 10, a structured list of the most critical risks associated with generative AI and large language models. For certification purposes, learners must…

Episode 35 — Threat Modeling for AI

This episode covers threat modeling as a structured method for identifying and prioritizing risks in AI systems. Learners must understand the role of frameworks such as MITRE ATLAS, which catalog…

Episode 34 — Risk Frameworks in Practice

This episode examines risk frameworks for AI security, focusing on the NIST AI Risk Management Framework and ISO/IEC 42001. These frameworks provide structured approaches to identify, assess,…

Episode 33 — Governance & Acceptable Use

This episode introduces governance and acceptable use policies as organizational frameworks that guide secure and ethical AI adoption. Governance defines the processes, roles, and oversight…

Episode 32 — Keys, Encryption & Attestation

This episode examines keys, encryption, and attestation as core mechanisms for ensuring confidentiality, integrity, and trust in AI systems. Keys form the foundation of cryptographic operations, and…