All Episodes
Displaying 1 - 20 of 91 in total
Episode 90 — Prevent Shadow AI: Sanctioned Tools, Usage Rules, and Enforcement Patterns
This episode focuses on preventing shadow AI as a governance and data protection requirement, because SecAI+ expects you to control unapproved tools that employees ad...
Episode 89 — Apply Responsible AI Principles: Fairness, Transparency, and Explainability Choices
This episode teaches responsible AI principles in an exam-ready, security-relevant way, because SecAI+ expects you to translate fairness, transparency, and explainabi...
Episode 88 — Define AI Security Responsibilities: Owners, Approvers, Builders, and Auditors
This episode focuses on defining responsibilities clearly, because SecAI+ scenarios often reveal failures caused by vague ownership, where everyone assumes someone els...
Episode 87 — Build AI Governance Structures: Policies, Roles, and a Working Operating Model
This episode explains AI governance as an operating model that makes security and compliance achievable at scale, because SecAI+ expects you to choose governance struc...
Episode 86 — Manage CI/CD With AI Assistants: Secure Pipelines, Tests, and Change Control
This episode teaches how AI assistants fit into CI/CD without weakening security, because SecAI+ scenarios often involve AI-generated code, AI-suggested pipeline chan...
Episode 85 — Apply Safe Automation: Low-Code Workflows With Guardrails and Auditability
This episode focuses on safe automation using low-code workflows, because SecAI+ expects you to recognize that automation reduces toil but can also amplify errors and...
Episode 84 — Recognize AI-Assisted Malware Evolution: Obfuscation, Mutation, and Detection Gaps
This episode teaches how AI can accelerate malware evolution by supporting rapid variation, improved obfuscation, and faster iteration on what evades detection, which ...
Episode 83 — Track AI-Accelerated Recon: Target Discovery, Enumeration, and Defensive Signals
This episode focuses on how AI accelerates reconnaissance by reducing attacker effort in discovering targets, mapping organizations, and enumerating exposed systems, ...
Episode 82 — Counter AI-Scaled Social Engineering: Phishing, Vishing, and Pretext Detection
This episode teaches how AI scales social engineering by making messages more convincing, more personalized, and easier to generate at volume, which is exactly why Se...
Episode 81 — Understand AI-Driven Deepfakes: Impersonation Risk and Verification Countermeasures
This episode explains why AI-driven deepfakes are a security problem, not just a media curiosity, and how SecAI+ expects you to analyze impersonation risk in realisti...
Episode 80 — Use AI for Threat Intel: Entity Extraction, Clustering, and Confidence Handling
This episode teaches practical uses of AI in threat intelligence, because SecAI+ expects you to apply AI to messy text and indicator data while still handling uncertai...
Episode 79 — Use AI for Incident Triage: Summaries, Prioritization, and Evidence Integrity
This episode focuses on using AI for incident triage without compromising evidence integrity, because SecAI+ expects you to accelerate understanding while still preser...
Episode 78 — Use AI for Detection Engineering: Rules, Correlation, and Noise Reduction
This episode teaches AI-assisted detection engineering in a way that matches SecAI+ expectations, because exam scenarios often involve improving detection coverage and...
Episode 77 — Use AI for Code Review: Linting, SAST Triage, and False-Positive Control
This episode focuses on using AI to improve code review efficiency without weakening security rigor, because SecAI+ expects you to balance speed gains against the risk...
Episode 76 — Use AI in Secure Coding: Generating Code Without Injecting Vulnerabilities
This episode teaches how to use AI for code generation without turning your SDLC into a vulnerability factory, because SecAI+ expects you to recognize that AI can acce...
Episode 75 — Reduce Overreliance Risk: Human Verification Loops and Safe Escalation Rules
This episode focuses on overreliance as a real operational hazard, because SecAI+ expects you to design workflows that keep humans in control of high-impact decisions ...
Episode 74 — Secure Integrations and Plug-Ins: Trust Boundaries, Validation, and Least Privilege
This episode teaches integration security for AI systems, because SecAI+ scenarios often involve plug-ins, connectors, and third-party services that expand capability ...
Episode 73 — Handle Denial-of-Service Risks: Model DoS, Cost Bombs, and Resilience
This episode focuses on denial-of-service in AI systems, because SecAI+ expects you to defend not only availability, but also cost stability and operational continuity...
Episode 72 — Prevent Model Theft: Extraction Risks, Query Limits, and Watermark Strategies
This episode teaches model theft as an access and abuse problem, because SecAI+ scenarios often involve attackers trying to replicate a model’s behavior by querying it...
Episode 71 — Analyze Membership Inference Risks: Privacy Exposure and Defensive Techniques
This episode focuses on membership inference as a practical privacy risk, because SecAI+ expects you to recognize when attackers can probe a model to determine whether...