All Episodes
Displaying 41 - 60 of 91 in total
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 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 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 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 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 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 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 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 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 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 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 40 — Contain AI incidents quickly by limiting access and stopping risky flows (Task 16)
This episode teaches containment actions tailored to AI incidents, emphasizing rapid access limitation and flow interruption, which AAISM often tests as the most defen...
Episode 39 — Report AI security incidents on time without losing accuracy (Task 15)
This episode focuses on timely incident reporting while preserving accuracy, which AAISM treats as a disciplined process that balances speed, evidence, and stakeholder...
Episode 38 — Document AI incidents clearly for regulators, contracts, and executive updates (Task 15)
This episode teaches how to document AI incidents so the record supports regulatory expectations, contractual commitments, and executive decision-making, which the AAI...
Episode 37 — Investigate AI security incidents by collecting the right evidence fast (Task 15)
This episode explains how to investigate AI security incidents by quickly collecting evidence that preserves accuracy under pressure, which AAISM scenarios test throug...
Episode 36 — Domain 1 quick review: governance, policies, assets, metrics, and training (Tasks 1–3)
This episode reinforces Domain 1 by connecting governance, policies, asset inventory, metrics, and training into one coherent operating model, because AAISM questions ...
Episode 35 — Operationalize tools with tuning, ownership, and measurable outcomes (Task 19)
This episode teaches how to operationalize AI security tools so they deliver measurable risk reduction over time, which the AAISM exam tests through questions about su...
Episode 34 — Implement AI security tools into monitoring, alerting, and response workflows (Task 19)
This episode explains how to implement AI security tools so they produce usable monitoring, alerts, and response actions rather than isolated dashboards, which AAISM s...
Episode 33 — Review AI security tools by coverage, gaps, and operational fit (Task 19)
This episode focuses on evaluating AI security tools the way the AAISM exam expects: by asking what risks they cover, what gaps remain, and whether the tools can actua...
Episode 32 — Use metrics to prioritize work and prove security program value (Task 18)
This episode teaches how to use AI security metrics to prioritize limited time and budget while also demonstrating program value in terms leaders understand, which AAI...