All Episodes
Displaying 41 - 60 of 91 in total
Episode 41 — Notify and escalate during AI incidents with the right triggers (Task 16)
This episode teaches how to notify and escalate during AI incidents using clear triggers that prevent both overreaction and dangerous delay, which is exactly what AAIS...
Episode 42 — Eradicate root causes and recover safely after AI security incidents (Task 16)
This episode explains how eradication and recovery work in AI incidents, emphasizing that “restore service” is not the same as “restore trust,” which AAISM questions o...
Episode 43 — Add AI systems to business continuity plans without hidden weak points (Task 17)
This episode teaches how to include AI systems in business continuity planning so operational resilience covers the full AI delivery chain, which AAISM tests through s...
Episode 44 — Set recovery goals for AI services, data pipelines, and vendors (Task 17)
This episode explains how to set recovery goals for AI services in a way that matches business impact and operational reality, which AAISM questions often test by aski...
Episode 45 — Plan for vendor outages and safe degraded modes in AI systems (Task 17)
This episode teaches how to plan for vendor outages and degraded operation without creating unsafe or noncompliant AI behavior, which AAISM tests through resilience sc...
Episode 46 — Domain 1 recap drill: pick the right task under pressure (Tasks 1–21)
This episode is a fast, exam-style recap that trains you to identify the underlying task being tested in Domain 1, because many AAISM questions are won or lost by reco...
Episode 47 — Domain 2 overview: manage AI risk while enabling business opportunity (Task 4)
This episode introduces Domain 2 as the exam’s core risk-management engine, showing how AAISM expects you to manage AI risk in a way that supports business opportunity...
Episode 48 — Run the AI risk management life cycle from intake to monitoring (Task 4)
This episode teaches the AI risk management life cycle as a repeatable workflow, which AAISM tests by asking what to do next when a new use case appears, when risks ar...
Episode 49 — Connect AI risks to enterprise risk reporting and decision-making (Task 4)
This episode explains how to connect AI risks to enterprise risk reporting so leadership can compare them against other priorities and make clear decisions, which AAIS...
Episode 50 — Assign AI risk owners and approvals so accountability is never unclear (Task 4)
This episode teaches how to assign AI risk owners and approval authority so accountability cannot be disputed, which AAISM tests by asking who should accept risk, who ...
Episode 51 — Identify the AI threat landscape using realistic abuse cases (Task 5)
This episode teaches how to identify the AI threat landscape by focusing on realistic abuse cases instead of generic fear, because AAISM questions reward threat thinki...
Episode 52 — Assess AI threats by likelihood and impact, not hype and fear (Task 5)
This episode explains how to assess AI threats using likelihood and impact so your conclusions are defensible, which AAISM often tests by presenting dramatic scenarios...
Episode 53 — Keep threat understanding current as attackers and tools evolve (Task 5)
This episode teaches how to keep threat understanding current so threat assessments do not become stale, which AAISM tests through scenarios where new model capabiliti...
Episode 54 — Monitor internal changes that require AI risk reassessment (Task 6)
This episode explains which internal changes should trigger AI risk reassessment and why AAISM treats reassessment as a governance-controlled decision, not a vague “re...
Episode 55 — Monitor external changes like laws, vendors, and new AI capabilities (Task 6)
This episode teaches how to monitor external changes that should trigger AI risk reassessment, because AAISM scenarios often include shifting laws, vendor updates, or ...
Episode 56 — Build a reassessment cadence that prevents stale AI risk decisions (Task 6)
This episode explains how to set a reassessment cadence that prevents stale AI risk decisions while still respecting operational capacity, which AAISM tests by asking ...
Episode 57 — Design AI security testing that matches your model, data, and use case (Task 7)
This episode teaches how to design AI security testing that is fit for purpose, because AAISM questions often challenge you to choose testing that matches the model ty...
Episode 58 — Build AI vulnerability management from discovery to remediation (Task 7)
This episode explains how to build AI vulnerability management as a complete workflow from discovery through remediation, which AAISM tests by asking how you ensure we...
Episode 59 — Retest and document fixes so AI vulnerabilities stay closed (Task 7)
This episode teaches how to retest and document remediation so vulnerabilities stay closed over time, which AAISM often tests through scenarios where fixes are applied...
Episode 60 — Embed vendor AI security requirements before procurement begins (Task 9)
This episode explains how to embed vendor AI security requirements early, because AAISM questions often test whether you can prevent downstream risk by shaping procure...