All Episodes
Displaying 21 - 40 of 50 in total
Episode 21 — Evals & Test Pipelines
This episode examines evaluations and test pipelines as essential processes for maintaining AI system security and reliability. Evaluations, or “evals,” are structured...
Episode 22 — Telemetry & Observability
This episode explores telemetry and observability, emphasizing their importance in detecting anomalies, intrusions, and misuse in AI systems. Telemetry refers to the d...
Episode 23 — Abuse & Fraud Detection
This episode addresses abuse and fraud detection in AI applications, focusing on how adversaries exploit systems for spam, phishing, or marketplace manipulation. For c...
Episode 24 — Cost & Resource Abuse
This episode examines cost and resource abuse, where adversaries or careless users exploit AI systems to drive up compute expenses or deny service to legitimate custom...
Episode 25 — MLOps & Serving Security
This episode introduces MLOps and serving security, focusing on practices that protect the deployment, operation, and continuous delivery of AI models. MLOps extends D...
Episode 26 — Supply Chain & Artifacts
This episode examines supply chain and artifact security, focusing on how external dependencies and stored components create systemic risks in AI systems. Artifacts in...
Episode 27 — Secure Fine-Tuning & Adaptation
This episode introduces secure fine-tuning and adaptation, explaining how customization of pre-trained models introduces both benefits and new risks. Fine-tuning adjus...
Episode 28 — API Gateways & Proxies for AI
This episode focuses on API gateways and proxies, emphasizing their role as critical control points for AI applications. An API gateway manages traffic to model endpoi...
Episode 29 — Code Execution & Sandboxing
This episode examines the risks of code execution in AI systems and the security benefits of sandboxing. Many AI applications incorporate features allowing generated o...
Episode 30 — Connector/Plugin Security
This episode addresses connector and plugin security, focusing on how third-party integrations expand the attack surface of AI applications. Connectors link systems to...
Episode 31 — Cloud & Infra for AI
This episode explores cloud and infrastructure security in the context of AI, focusing on GPU clusters, multitenancy, storage, and network isolation. For certification...
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 o...
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...
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 approac...
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 a...
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 certifica...
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 unde...
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...
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....
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 inte...