Hosted by Jason Edwards · 🇺🇸 US · EN · 51 episodes
Established thought leaders with verified media credentials.
The AI Security & Threats Audio Course is a comprehensive, audio-first learning series focused on the risks, defenses, and governance models that define secure artificial intelligence operations today. Designed for cybersecurity professionals, AI practitioners, and certification candidates, this course translates complex technical and policy concepts into clear, practical lessons. Each episode explores a critical aspect of AI security—from prompt injection and model theft to data poisoning, adversarial attacks, and secure machine learning operations (MLOps). You’ll gain a structured understanding of how vulnerabilities emerge, how threat actors exploit them, and how robust controls can mitigate these evolving risks.The course also covers the frameworks and best practices shaping AI governance, assurance, and resilience. Learners will explore global standards and regulatory guidance, including NIST AI Risk Management Framework, ISO/IEC 23894, and emerging organizational policies aroun
Jason Edwards hosts Certified - AI Security Audio Course, a education show with 51 episodes published.
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 must define this conce
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 encrypted inference. Fo
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 (DSLs), prompt filters, all
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 certification purposes, lear
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 that multimodal system
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 adoption reduces overwhel
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 purposes, learners must
This episode examines enterprise architecture patterns for secure AI deployments, focusing on how organizations structure systems to balance scalability, performance, and resilience. For certification, learners must unde
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 certification purposes, learner
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 readiness, candidates must u
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 tracking the history and o
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 must understand definiti
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 traditional security breach
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 require adapting tradit
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 understand how OWASP ada
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 adversarial techniques,
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, mitigate, and monitor AI-spe
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 structures for managing AI ris
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 encryption protects d
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Certified - AI Security Audio Course is hosted by Jason Edwards. The show is categorised under education (courses) and has published 51 episodes.
Certified - AI Security Audio Course has published 51 episodes.
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