All Episodes
Displaying 1 - 20 of 91 in total
Welcome to the ISACA AAISM Audio Course
Certified: The ISACA AAISM Audio Course is built for security managers, team leads, auditors, and practitioners who are stepping into AI risk and security oversight an...
Episode 90 — Finish strong: lock in governance, risk, and controls for AAISM (Tasks 1–22)
This final episode ties the full AAISM body of knowledge together so you leave with a single coherent mental model: governance sets ownership and rules, risk managemen...
Episode 89 — Exam-day tactics: calm pacing, best-answer logic, and time discipline (Tasks 1–22)
This episode focuses on exam-day tactics that improve accuracy without rushing, emphasizing calm pacing, best-answer logic, and time discipline as skills you can apply...
Episode 88 — Final rapid recap: remember the three domains and all 22 tasks (Tasks 1–22)
This episode delivers a rapid, structured recap that reinforces how the three AAISM domains connect and how all 22 tasks fit into a single end-to-end AI security opera...
Episode 87 — Cross-domain practice: choose the right task in realistic scenarios (Tasks 1–22)
This episode provides cross-domain practice by training you to identify the correct AAISM task under realistic scenarios, because the exam often rewards task recogniti...
Episode 86 — Connect monitoring to incident response so alerts lead to action (Task 16)
This episode teaches how to connect monitoring to incident response so alerts reliably trigger triage, containment, and recovery actions, which AAISM tests by asking w...
Episode 85 — Build continuous monitoring for AI systems, controls, and security signals (Task 12)
This episode explains how to build continuous monitoring for AI systems so you can detect control breakdowns, misuse, and emerging risk early, which AAISM tests throug...
Episode 84 — Test robustness and respond when models behave unpredictably (Task 20)
This episode teaches how to test robustness and respond when models behave unpredictably, because AAISM expects you to treat unpredictable behavior as a risk that must...
Episode 83 — Improve explainability so decisions are defensible to leaders and auditors (Task 20)
This episode explains how to improve explainability so AI-driven decisions are defensible to leaders and auditors, which AAISM tests through scenarios that require cle...
Episode 82 — Review AI outputs for trust and safety without slowing the business (Task 20)
This episode teaches how to review AI outputs for trust and safety in ways that scale, because AAISM questions often ask what control best reduces harm while still ena...
Episode 81 — Design risk-based human oversight so AI stays safe and useful (Task 20)
This episode explains how to design risk-based human oversight so AI systems remain safe and useful without turning every decision into manual work, a balance the AAIS...
Episode 80 — Build ethical guardrails that reduce harm while meeting business goals (Task 3)
This episode teaches how to build ethical guardrails that reduce harm while still meeting business goals, because AAISM tests whether you can operationalize ethics as ...
Episode 79 — Manage privacy requirements across AI inputs, outputs, and user access (Task 3)
This episode explains how to manage privacy requirements across AI inputs, outputs, and user access, with an exam focus on turning privacy expectations into enforceabl...
Episode 78 — Protect embeddings, prompts, and inference logs as sensitive AI assets (Task 14)
This episode teaches why embeddings, prompts, and inference logs must be treated as sensitive assets, because AAISM scenarios often test whether you recognize non-obvi...
Episode 77 — Control data pipelines with lineage, access control, and secure storage (Task 14)
This episode explains how to control data pipelines using lineage, access control, and secure storage, which AAISM tests because data pipelines are where integrity and...
Episode 76 — Review and tune AI security controls as models, data, and threats change (Task 12)
This episode teaches how to review and tune AI security controls over time, because AAISM questions often assume that controls must evolve as models, data sources, ven...
Episode 75 — Assign control owners and evidence so controls survive real operations (Task 12)
This episode explains how to assign control owners and evidence requirements so AI security controls remain effective after the initial rollout, which AAISM treats as ...
Episode 74 — Apply security controls across the AI life cycle to treat risk (Task 12)
This episode teaches how to apply security controls across the AI life cycle so controls actually treat risk at the points where harm can occur, which AAISM tests thro...
Episode 73 — Validate models for safety, accuracy, and security failure modes (Task 22)
This episode explains how to validate models in a way that addresses safety, accuracy, and security failure modes, because AAISM questions often ask what validation sh...
Episode 72 — Secure build, train, and deploy pipelines for repeatable safe releases (Task 22)
This episode teaches how to secure build, training, and deployment pipelines so releases are repeatable, controlled, and auditable, which AAISM commonly tests through ...