All Episodes

Displaying 41 - 60 of 113 in total

Episode 41 — Notify and escalate during AI incidents with the right triggers (Task 16)

This episode covers Task 16 by teaching how to notify and escalate during AI incidents using the right triggers, because AAISM often tests whether you can recognize wh...

Episode 42 — Eradicate root causes and recover safely after AI security incidents (Task 16)

This episode focuses on Task 16 by explaining how to eradicate root causes and recover safely after an AI security incident, because AAISM expects you to move beyond c...

Episode 43 — Add AI systems to business continuity plans without hidden weak points (Task 17)

This episode addresses Task 17 by teaching how to add AI systems to business continuity plans without hidden weak points, because AAISM tests whether you can treat AI ...

Episode 44 — Set recovery goals for AI services, data pipelines, and vendors (Task 17)

This episode focuses on Task 17 by showing how to set recovery goals for AI services, data pipelines, and vendors, because AAISM expects you to define recovery in meas...

Episode 45 — Plan for vendor outages and safe degraded modes in AI systems (Task 17)

This episode covers Task 17 by teaching how to plan for vendor outages and safe degraded modes, because many AI deployments depend on external model services, and AAIS...

Episode 46 — Domain 1 recap drill: pick the right task under pressure (Tasks 1–21)

This episode is a Domain 1 recap drill designed to improve speed and accuracy under pressure by training you to identify which task is being tested and what the most d...

Episode 47 — Domain 2 overview: manage AI risk while enabling business opportunity (Task 4)

This episode introduces Domain 2 through Task 4 by explaining how AAISM expects you to manage AI risk while enabling business opportunity, which means balancing innova...

Episode 48 — Run the AI risk management life cycle from intake to monitoring (Task 4)

This episode teaches Task 4 by walking through the AI risk management life cycle from intake to monitoring, because AAISM questions often test whether you can apply ri...

Episode 49 — Connect AI risks to enterprise risk reporting and decision-making (Task 4)

This episode focuses on Task 4 by showing how to connect AI risks to enterprise risk reporting and decision-making, because AAISM expects AI risk to be expressed in th...

Episode 50 — Assign AI risk owners and approvals so accountability is never unclear (Task 4)

This episode completes the set by teaching Task 4’s accountability core: assigning AI risk owners and approvals so responsibility is explicit, decisions are traceable,...

Episode 51 — Identify the AI threat landscape using realistic abuse cases (Task 5)

This episode covers Task 5 by building a practical view of the AI threat landscape using realistic abuse cases, because AAISM expects you to recognize how AI systems c...

Episode 52 — Assess AI threats by likelihood and impact, not hype and fear (Task 5)

This episode focuses on Task 5 by teaching you to assess AI threats using likelihood and impact rather than hype, because AAISM questions often include distractors tha...

Episode 53 — Keep threat understanding current as attackers and tools evolve (Task 5)

This episode addresses Task 5 by showing how to keep threat understanding current as attackers and tools evolve, because AI systems and their integrations change quick...

Episode 54 — Monitor internal changes that require AI risk reassessment (Task 6)

This episode teaches Task 6 by explaining how to monitor internal changes that should trigger AI risk reassessment, because AAISM commonly tests whether you can recogn...

Episode 55 — Monitor external changes like laws, vendors, and new AI capabilities (Task 6)

This episode focuses on Task 6 by showing how external changes should drive AI risk reassessment, because AAISM expects you to manage risk in a live environment where ...

Episode 56 — Build a reassessment cadence that prevents stale AI risk decisions (Task 6)

This episode covers Task 6 by teaching you to build a reassessment cadence that prevents stale AI risk decisions, because AAISM often rewards answers that institutiona...

Episode 57 — Design AI security testing that matches your model, data, and use case (Task 7)

This episode introduces Task 7 by teaching how to design AI security testing that matches your model, data, and use case, because AAISM expects you to test what can re...

Episode 58 — Build AI vulnerability management from discovery to remediation (Task 7)

This episode focuses on Task 7 by explaining how to build AI vulnerability management from discovery to remediation, because AAISM treats vulnerability management as a...

Episode 59 — Retest and document fixes so AI vulnerabilities stay closed (Task 7)

This episode completes the Task 7 vulnerability thread by teaching how to retest and document fixes so vulnerabilities stay closed, because AAISM often tests whether y...

Episode 60 — Embed vendor AI security requirements before procurement begins (Task 9)

This episode introduces Task 9 by showing how to embed vendor AI security requirements before procurement begins, because AAISM expects you to shape vendor risk outcom...

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