Certified: The ISACA AAISM Audio Course

By Jason Edwards

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Episodes: 91

Description

Welcome to Certified: The ISACA AAISM Audio Course. If you’re responsible for security, risk, assurance, or governance and AI is now part of your environment, you’re in the right place. This course is designed to help you prepare for the ISACA AAISM certification with clear explanations and practical framing, so the topics feel manageable instead of abstract. Each episode stays focused on the concepts the exam tests, while still connecting them to real situations you might face when reviewing AI use cases, third-party AI services, or internal model development. Expect straightforward definitions, exam-style thinking, and guidance on how to separate what matters from what’s noise. To get the most out of this course, listen in order at first, even if you’re tempted to jump to the topics that feel urgent. The early episodes build a shared vocabulary for AI systems, risk, and assurance, and that foundation makes later material click faster. As you go, pause when you hear a term you’d want to explain to a stakeholder, then try saying it back in your own words before you continue. That simple habit builds recall for test day and clarity for your day job. Follow or subscribe so new episodes show up automatically, and keep a steady pace—you’ll be surprised how quickly this becomes familiar.

Episode Date
Welcome to the ISACA AAISM Audio Course
Feb 15, 2026
Episode 90 — Finish strong: lock in governance, risk, and controls for AAISM (Tasks 1–22)
Feb 14, 2026
Episode 89 — Exam-day tactics: calm pacing, best-answer logic, and time discipline (Tasks 1–22)
Feb 14, 2026
Episode 88 — Final rapid recap: remember the three domains and all 22 tasks (Tasks 1–22)
Feb 14, 2026
Episode 87 — Cross-domain practice: choose the right task in realistic scenarios (Tasks 1–22)
Feb 14, 2026
Episode 86 — Connect monitoring to incident response so alerts lead to action (Task 16)
Feb 14, 2026
Episode 85 — Build continuous monitoring for AI systems, controls, and security signals (Task 12)
Feb 14, 2026
Episode 84 — Test robustness and respond when models behave unpredictably (Task 20)
Feb 14, 2026
Episode 83 — Improve explainability so decisions are defensible to leaders and auditors (Task 20)
Feb 14, 2026
Episode 82 — Review AI outputs for trust and safety without slowing the business (Task 20)
Feb 14, 2026
Episode 81 — Design risk-based human oversight so AI stays safe and useful (Task 20)
Feb 14, 2026
Episode 80 — Build ethical guardrails that reduce harm while meeting business goals (Task 3)
Feb 14, 2026
Episode 79 — Manage privacy requirements across AI inputs, outputs, and user access (Task 3)
Feb 14, 2026
Episode 78 — Protect embeddings, prompts, and inference logs as sensitive AI assets (Task 14)
Feb 14, 2026
Episode 77 — Control data pipelines with lineage, access control, and secure storage (Task 14)
Feb 14, 2026
Episode 76 — Review and tune AI security controls as models, data, and threats change (Task 12)
Feb 14, 2026
Episode 75 — Assign control owners and evidence so controls survive real operations (Task 12)
Feb 14, 2026
Episode 74 — Apply security controls across the AI life cycle to treat risk (Task 12)
Feb 14, 2026
Episode 73 — Validate models for safety, accuracy, and security failure modes (Task 22)
Feb 14, 2026
Episode 72 — Secure build, train, and deploy pipelines for repeatable safe releases (Task 22)
Feb 14, 2026
Episode 71 — Understand the AI development life cycle from idea to retirement (Task 22)
Feb 14, 2026
Episode 70 — Document architecture decisions so governance and audit stay aligned (Task 11)
Feb 14, 2026
Episode 69 — Align AI architecture with enterprise identity, network, and data standards (Task 11)
Feb 14, 2026
Episode 68 — Integrate AI architecture into enterprise architecture without shadow systems (Task 11)
Feb 14, 2026
Episode 67 — Implement AI architecture protections for identity, secrets, and isolation (Task 10)
Feb 14, 2026
Episode 66 — Reduce AI attack surface through smart deployment and integration choices (Task 10)
Feb 14, 2026
Episode 65 — Design AI security architecture with clear trust boundaries and data flows (Task 10)
Feb 14, 2026
Episode 64 — Domain 3 overview: secure AI technologies using architecture and controls (Task 10)
Feb 14, 2026
Episode 63 — Domain 2 quick review: risk lifecycle, threats, testing, and vendors (Tasks 4–9)
Feb 14, 2026
Episode 62 — Verify vendor AI security through audits, tests, and contract enforcement (Task 9)
Feb 14, 2026
Episode 61 — Monitor vendor controls using evidence, updates, and incident notifications (Task 9)
Feb 14, 2026
Episode 60 — Embed vendor AI security requirements before procurement begins (Task 9)
Feb 14, 2026
Episode 59 — Retest and document fixes so AI vulnerabilities stay closed (Task 7)
Feb 14, 2026
Episode 58 — Build AI vulnerability management from discovery to remediation (Task 7)
Feb 14, 2026
Episode 57 — Design AI security testing that matches your model, data, and use case (Task 7)
Feb 14, 2026
Episode 56 — Build a reassessment cadence that prevents stale AI risk decisions (Task 6)
Feb 14, 2026
Episode 55 — Monitor external changes like laws, vendors, and new AI capabilities (Task 6)
Feb 14, 2026
Episode 54 — Monitor internal changes that require AI risk reassessment (Task 6)
Feb 14, 2026
Episode 53 — Keep threat understanding current as attackers and tools evolve (Task 5)
Feb 14, 2026
Episode 52 — Assess AI threats by likelihood and impact, not hype and fear (Task 5)
Feb 14, 2026
Episode 51 — Identify the AI threat landscape using realistic abuse cases (Task 5)
Feb 14, 2026
Episode 50 — Assign AI risk owners and approvals so accountability is never unclear (Task 4)
Feb 14, 2026
Episode 49 — Connect AI risks to enterprise risk reporting and decision-making (Task 4)
Feb 14, 2026
Episode 48 — Run the AI risk management life cycle from intake to monitoring (Task 4)
Feb 14, 2026
Episode 47 — Domain 2 overview: manage AI risk while enabling business opportunity (Task 4)
Feb 14, 2026
Episode 46 — Domain 1 recap drill: pick the right task under pressure (Tasks 1–21)
Feb 14, 2026
Episode 45 — Plan for vendor outages and safe degraded modes in AI systems (Task 17)
Feb 14, 2026
Episode 44 — Set recovery goals for AI services, data pipelines, and vendors (Task 17)
Feb 14, 2026
Episode 43 — Add AI systems to business continuity plans without hidden weak points (Task 17)
Feb 14, 2026
Episode 42 — Eradicate root causes and recover safely after AI security incidents (Task 16)
Feb 14, 2026
Episode 41 — Notify and escalate during AI incidents with the right triggers (Task 16)
Feb 14, 2026
Episode 40 — Contain AI incidents quickly by limiting access and stopping risky flows (Task 16)
Feb 14, 2026
Episode 39 — Report AI security incidents on time without losing accuracy (Task 15)
Feb 14, 2026
Episode 38 — Document AI incidents clearly for regulators, contracts, and executive updates (Task 15)
Feb 14, 2026
Episode 37 — Investigate AI security incidents by collecting the right evidence fast (Task 15)
Feb 14, 2026
Episode 36 — Domain 1 quick review: governance, policies, assets, metrics, and training (Tasks 1–3)
Feb 14, 2026
Episode 35 — Operationalize tools with tuning, ownership, and measurable outcomes (Task 19)
Feb 14, 2026
Episode 34 — Implement AI security tools into monitoring, alerting, and response workflows (Task 19)
Feb 14, 2026
Episode 33 — Review AI security tools by coverage, gaps, and operational fit (Task 19)
Feb 14, 2026
Episode 32 — Use metrics to prioritize work and prove security program value (Task 18)
Feb 14, 2026
Episode 31 — Monitor AI metrics to spot misuse, drift, and early incident signals (Task 18)
Feb 14, 2026
Episode 30 — Define AI security metrics leaders can understand and act on (Task 18)
Feb 14, 2026
Episode 29 — Build an AI security program that fits the enterprise security program (Task 19)
Feb 14, 2026
Episode 28 — Manage retention and deletion to reduce long-term AI data exposure (Task 14)
Feb 14, 2026
Episode 27 — Preserve data integrity so models stay reliable and trustworthy (Task 14)
Feb 14, 2026
Episode 26 — Protect training and test data with access control and secure storage (Task 14)
Feb 14, 2026
Episode 25 — Identify data risks across the AI life cycle: leaks and tampering (Task 14)
Feb 14, 2026
Episode 24 — Keep the AI inventory accurate with routine governance checks (Task 13)
Feb 14, 2026
Episode 23 — Classify AI assets by sensitivity, criticality, and compliance scope (Task 13)
Feb 14, 2026
Episode 22 — Inventory AI assets: models, prompts, data, and key dependencies (Task 13)
Feb 14, 2026
Episode 21 — Refresh training when threats, tools, and regulations change (Task 21)
Feb 14, 2026
Episode 20 — Build AI security awareness training that sticks in daily work (Task 21)
Feb 14, 2026
Episode 19 — Create acceptable use guidelines that reduce risky AI behavior (Task 21)
Feb 14, 2026
Episode 18 — Essential Terms: Plain-Language Glossary for fast, accurate recall (Tasks 1–22)
Feb 14, 2026
Episode 17 — Keep AI security policies current using ownership and change control (Task 2)
Feb 14, 2026
Episode 16 — Turn policies into standards, guidelines, and step-by-step procedures (Task 2)
Feb 14, 2026
Episode 15 — Write AI security policies people can follow without guessing (Task 2)
Feb 14, 2026
Episode 14 — Prove conformity by building defensible evidence for regulators and contracts (Task 8)
Feb 14, 2026
Episode 13 — Perform AI impact assessments with scope, evidence, and actionable results (Task 8)
Feb 14, 2026
Episode 12 — Plan AI impact assessments early so compliance is not an afterthought (Task 8)
Feb 14, 2026
Episode 11 — Translate AI regulations into practical, testable security requirements (Task 3)
Feb 14, 2026
Episode 10 — Apply ethical principles when AI outcomes create real business risk (Task 3)
Feb 14, 2026
Episode 9 — Use industry frameworks to organize AI governance and security work (Task 3)
Feb 14, 2026
Episode 8 — Set governance routines that keep AI security decisions consistent (Task 1)
Feb 14, 2026
Episode 7 — Define AI roles and responsibilities so decisions are owned and clear (Task 1)
Feb 14, 2026
Episode 6 — Build an AI governance charter that aligns to business objectives (Task 1)
Feb 14, 2026
Episode 5 — Domain 1 overview: lead AI governance and program management confidently (Task 1)
Feb 14, 2026
Episode 4 — Exam Acronyms: High-Yield Audio Reference for AAISM daily practice (Tasks 1–22)
Feb 14, 2026
Episode 3 — Walk through an AI system life cycle in clear, simple language (Task 22)
Feb 14, 2026
Episode 2 — Understand how AAISM questions map to real AI security work (Tasks 1–22)
Feb 14, 2026
Episode 1 — Exam orientation and a spoken 30-day plan to pass AAISM (Tasks 1–22)
Feb 14, 2026