All Episodes
Displaying 1 - 20 of 91 in total
Episode 1 — Exam orientation and a spoken 30-day plan to pass AAISM (Tasks 1–22)
This episode establishes how the AAISM exam is organized around tasks, what “best answer” logic looks like, and how to build a realistic 30-day audio-first study plan ...
Episode 2 — Understand how AAISM questions map to real AI security work (Tasks 1–22)
This episode connects typical AAISM question patterns to real AI security responsibilities, so you can recognize what the exam is truly asking you to do: govern, asses...
Episode 3 — Walk through an AI system life cycle in clear, simple language (Task 22)
This episode teaches the AI system life cycle the way the AAISM exam expects you to reason about it: as a chain of decisions, artifacts, and controls from idea intake ...
Episode 4 — Exam Acronyms: High-Yield Audio Reference for AAISM daily practice (Tasks 1–22)
This episode builds fast recognition of the acronyms and shorthand you will see in AAISM-style scenarios, focusing on what each term implies for governance, risk, and ...
Episode 5 — Domain 1 overview: lead AI governance and program management confidently (Task 1)
This episode introduces Domain 1 as the exam’s foundation for proving that AI security work is owned, repeatable, and aligned to business objectives rather than ad hoc...
Episode 6 — Build an AI governance charter that aligns to business objectives (Task 1)
This episode breaks down what makes an AI governance charter exam-ready: clear purpose, scope boundaries, authority, membership, and decision mechanisms that connect d...
Episode 7 — Define AI roles and responsibilities so decisions are owned and clear (Task 1)
This episode teaches how the AAISM exam expects you to assign AI security responsibilities across business, security, engineering, data, and risk functions so that app...
Episode 8 — Set governance routines that keep AI security decisions consistent (Task 1)
This episode focuses on governance routines as repeatable control mechanisms: meeting cadences, intake reviews, approval gates, metrics reviews, and exception handling...
Episode 9 — Use industry frameworks to organize AI governance and security work (Task 3)
This episode explains how to use industry frameworks as organizing structures for AI governance and security requirements, with an exam focus on mapping principles int...
Episode 10 — Apply ethical principles when AI outcomes create real business risk (Task 3)
This episode teaches how ethical principles become practical security requirements when AI decisions can cause harm, legal exposure, or reputational damage, which is a...
Episode 11 — Translate AI regulations into practical, testable security requirements (Task 3)
This episode shows how to convert regulatory and legal expectations for AI into requirements you can test, monitor, and enforce, which is exactly how AAISM questions f...
Episode 12 — Plan AI impact assessments early so compliance is not an afterthought (Task 8)
This episode explains why AI impact assessments must be planned early in the life cycle and how AAISM scenarios test your ability to embed assessment timing into gover...
Episode 13 — Perform AI impact assessments with scope, evidence, and actionable results (Task 8)
This episode teaches how to execute an AI impact assessment so it produces decisions, controls, and evidence that stand up to audit rather than a vague narrative repor...
Episode 14 — Prove conformity by building defensible evidence for regulators and contracts (Task 8)
This episode focuses on evidence as the bridge between “we say we comply” and “we can prove we comply,” a distinction the AAISM exam tests repeatedly through documenta...
Episode 15 — Write AI security policies people can follow without guessing (Task 2)
This episode explains how to create AI security policies that are clear, enforceable, and usable by real teams, which AAISM questions often probe through “what should ...
Episode 16 — Turn policies into standards, guidelines, and step-by-step procedures (Task 2)
This episode teaches the practical hierarchy from policy to standards to procedures, and how the AAISM exam expects you to translate high-level intent into repeatable ...
Episode 17 — Keep AI security policies current using ownership and change control (Task 2)
This episode explains how policy maintenance becomes a security control, especially for AI where systems, threats, and regulations evolve quickly, and how AAISM scenar...
Episode 18 — Essential Terms: Plain-Language Glossary for fast, accurate recall (Tasks 1–22)
This episode builds a high-yield vocabulary baseline for AAISM by defining essential terms the way the exam uses them, then anchoring each term to a governance, risk, ...
Episode 19 — Create acceptable use guidelines that reduce risky AI behavior (Task 21)
This episode shows how acceptable use guidelines for AI reduce operational risk by setting clear boundaries on tools, data, prompts, outputs, and escalation, and how A...
Episode 20 — Build AI security awareness training that sticks in daily work (Task 21)
This episode teaches how to design AI security awareness training that changes day-to-day decisions rather than only satisfying a checkbox, which AAISM scenarios often...