Certified: The ISACA AAIR Audio Course

By Jason Edwards

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Episodes: 92

Description

Welcome to Certified: The ISACA AAIR Audio Course. If you’re here, you’re probably seeing AI show up everywhere: in products, in internal tools, in vendor roadmaps, and in executive conversations that expect quick answers. I built this course for people who need to evaluate AI systems responsibly, even when they don’t have time to become machine learning specialists. Across these episodes, we’ll translate AI concepts into assurance language you can use: governance, controls, evidence, risk, and accountability. You’ll learn how to ask better questions, how to recognize weak assurances, and how to frame findings in ways leaders can actually act on. Expect clear explanations, practical structure, and a focus on what matters when AI becomes part of a business process. To get the most from Certified: The ISACA AAIR Audio Course, treat it like a steady routine rather than a one-time binge. Listen in short sessions, replay episodes that cover areas you touch at work, and pause when you hear a concept you want to use in a meeting or a review plan. The point is to build repeatable thinking: a way to approach AI governance, risk, and assurance that holds up under real deadlines. If you’re preparing for the AAIR exam, use each episode to tighten your understanding of terms and your ability to apply them. If you’re using this for work, think about one current AI use case and mentally apply the lens from each lesson. Follow the show so new episodes land automatically, and keep moving forward even if you can only do a few minutes at a time.

Episode Date
Welcome to the ISACA AAIR Audio Course
Feb 15, 2026
Welcome to the ISACA AAIR Audio Course
Feb 15, 2026
Episode 90 — Close Strong: Your AAIR Readiness Checklist in Spoken Form (Non-ECO Orientation)
Feb 14, 2026
Episode 89 — Final Spaced Retrieval: Mixed Drill Across All AAIR Practice Areas (Domain 2)
Feb 14, 2026
Episode 88 — Final Acronym Pass: Decode the Shortcuts Without Losing Momentum (Glossary)
Feb 14, 2026
Episode 87 — Final Glossary Pass: The Terms You Must Recall Instantly (Glossary)
Feb 14, 2026
Episode 86 — Final Integrated Review: End-to-End AI Risk Through One Use Case (Domain 2)
Feb 14, 2026
Episode 85 — Handle Tough Questions: When Two Answers Seem Right, Choose Better (Non-ECO Exam Strategy)
Feb 14, 2026
Episode 84 — Exam-Day Tactics: Pace, Eliminate Options, and Stay Calm Under Time (Non-ECO Exam Strategy)
Feb 14, 2026
Episode 83 — Build an Exam Mental Model: Governance, Program, Lifecycle, Then Controls (Non-ECO Exam Strategy)
Feb 14, 2026
Episode 82 — Spot Distractors on AAIR Questions: What Sounds Right but Fails (Non-ECO Exam Strategy)
Feb 14, 2026
Episode 81 — Practice Answering Like a Risk Leader: Pick the Best Control First (Domain 2)
Feb 14, 2026
Episode 80 — Spaced Retrieval Review: Rapid Recall for High-Yield AAIR Decisions (Domain 2)
Feb 14, 2026
Episode 79 — Make Controls Practical: Prevent Checkbox AI Risk and Focus on Outcomes (Domain 2)
Feb 14, 2026
Episode 78 — Strengthen AI Risk Culture: Incentives, Accountability, and Psychological Safety (Domain 1)
Feb 14, 2026
Episode 77 — Build a Second-Line Mindset: Challenge, Validate, and Improve Without Blocking (Domain 1)
Feb 14, 2026
Episode 76 — Create a First 90-Day Plan: Launching AI Risk Governance That Sticks (Domain 2)
Feb 14, 2026
Episode 75 — Build a Cross-Functional Playbook: Who Does What During AI Risk Events (Domain 2)
Feb 14, 2026
Episode 74 — Tie It Together: How Governance Drives Program and Lifecycle Outcomes (Domain 1)
Feb 14, 2026
Episode 73 — Essential Terms: Plain-Language Glossary for Fast AAIR Risk Recall (Glossary)
Feb 14, 2026
Episode 72 — Exam Acronyms: High-Yield Audio Reference for AAIR Candidates (Glossary)
Feb 14, 2026
Episode 71 — Spaced Retrieval Review: Governance, Program, and Lifecycle Quick-Mix Practice (Domain 2)
Feb 14, 2026
Episode 70 — Control Shadow AI in the Business: Discovery, Policy, and Safe Alternatives (Domain 1)
Feb 14, 2026
Episode 69 — Govern Generative AI Use: Content Risk, Brand Risk, and Leakage Risk (Domain 3)
Feb 14, 2026
Episode 68 — Control Model Use in Decisioning: Credit, Hiring, Healthcare, and Safety Cases (Domain 1)
Feb 14, 2026
Episode 67 — Handle Intellectual Property Risks: Training Data Rights and Output Ownership (Domain 1)
Feb 14, 2026
Episode 66 — Navigate Regulatory Expectations: How to Stay Aligned Without Overpromising (Domain 1)
Feb 14, 2026
Episode 65 — Manage Reputation Risk from AI: Trust Events, Public Response, and Recovery (Domain 1)
Feb 14, 2026
Episode 64 — Establish AI Risk Metrics Dashboards: What to Track and What to Ignore (Domain 2)
Feb 14, 2026
Episode 63 — Write Executive-Ready AI Risk Reports: Clear Findings and Clear Decisions (Domain 1)
Feb 14, 2026
Episode 62 — Design Control Libraries for AI: Reusable Patterns Across Use Cases (Domain 2)
Feb 14, 2026
Episode 61 — Prioritize AI Risks for Action: Triage Methods That Avoid Analysis Paralysis (Domain 2)
Feb 14, 2026
Episode 60 — Quantify AI Risk When Possible: Likelihood, Impact, and Confidence Ranges (Domain 2)
Feb 14, 2026
Episode 59 — Build Strong AI Risk Narratives: Scenario Thinking Without Guesswork (Domain 1)
Feb 14, 2026
Episode 58 — Spaced Retrieval Review: Lifecycle Risk Scenarios and Control Choices Rapid Recall (Domain 3)
Feb 14, 2026
Episode 57 — Retire AI Systems Safely: Data Deletion, Archiving, and Lifecycle Closure (Domain 3)
Feb 14, 2026
Episode 56 — Validate Third-Party Models: Assumptions, Limits, and Hidden Dependencies (Domain 3)
Feb 14, 2026
Episode 55 — Control Retraining and Updates: Governance Gates and Regression Testing (Domain 3)
Feb 14, 2026
Episode 54 — Build Fallbacks and Fail-Safes: What Happens When AI Must Stop (Domain 3)
Feb 14, 2026
Episode 53 — Manage Human Oversight: Approvals, Overrides, and Accountability Under Pressure (Domain 3)
Feb 14, 2026
Episode 52 — Handle AI Incidents Well: Triage, Containment, Communication, and Recovery (Domain 2)
Feb 14, 2026
Episode 51 — Monitor Drift in Production: Data Shift, Concept Shift, and Silent Degradation (Domain 3)
Feb 14, 2026
Episode 50 — Deploy Safely: Change Management, Rollback Plans, and Guardrail Monitoring (Domain 3)
Feb 14, 2026
Episode 49 — Control Access and Least Privilege: Who Can Use, Train, and Deploy Models (Domain 3)
Feb 14, 2026
Episode 48 — Secure AI Interfaces: APIs, Plugins, Agents, and Permission Boundaries (Domain 3)
Feb 14, 2026
Episode 47 — Reduce Model Inversion and Leakage: Privacy Attacks and Practical Mitigations (Domain 3)
Feb 14, 2026
Episode 46 — Prevent Data Poisoning: Supply Chain Controls for Training Data Integrity (Domain 3)
Feb 14, 2026
Episode 45 — Protect Against Adversarial Inputs: Evasion, Prompt Injection, and Abuse Patterns (Domain 3)
Feb 14, 2026
Episode 44 — Understand Explainability Options: When You Need It and What Works (Domain 3)
Feb 14, 2026
Episode 43 — Test for Safety Failures: Hallucinations, Toxicity, and Unsafe Recommendations (Domain 3)
Feb 14, 2026
Episode 42 — Establish Model Validation: Performance, Robustness, and Generalization Testing (Domain 3)
Feb 14, 2026
Episode 41 — Control Training and Tuning: Reproducibility, Versioning, and Provenance Discipline (Domain 3)
Feb 14, 2026
Episode 40 — Manage Sensitive Data Risks: PII, PHI, Secrets, and Proprietary Content (Domain 3)
Feb 14, 2026
Episode 39 — Detect and Reduce Bias: Representation, Measurement, and Fairness Tradeoffs (Domain 3)
Feb 14, 2026
Episode 38 — Validate Data Quality Early: Completeness, Accuracy, Labeling, and Lineage (Domain 3)
Feb 14, 2026
Episode 37 — Control Data Collection and Consent: Privacy, Purpose Limits, and Minimization (Domain 3)
Feb 14, 2026
Episode 36 — Map the AI Lifecycle Clearly: From Idea to Retirement Without Blind Spots (Domain 3)
Feb 14, 2026
Episode 35 — Spaced Retrieval Review: Program Management Decisions and Risk Response Recall (Domain 2)
Feb 14, 2026
Episode 34 — Build Evidence for Audits: Artifacts That Prove Control, Not Intentions (Domain 2)
Feb 14, 2026
Episode 33 — Plan AI Risk Training That Sticks: Who Needs What and Why (Domain 2)
Feb 14, 2026
Episode 32 — Make AI Vendor Risk Real: Due Diligence, Contracts, and Ongoing Oversight (Domain 2)
Feb 14, 2026
Episode 31 — Coordinate Across Teams: Legal, Privacy, Security, Data, and Product Alignment (Domain 2)
Feb 14, 2026
Episode 30 — Create Escalation Triggers: When AI Risk Must Go to Leadership (Domain 2)
Feb 14, 2026
Episode 29 — Build Ongoing Monitoring: Drift, Performance, Incidents, and Emerging Threats (Domain 2)
Feb 14, 2026
Episode 28 — Define AI Controls and Testing Plans: What to Verify and How Often (Domain 2)
Feb 14, 2026
Episode 27 — Manage AI Risk Exceptions Safely: Approvals, Time Limits, and Compensating Controls (Domain 2)
Feb 14, 2026
Episode 26 — Choose Risk Treatments Wisely: Avoid, Reduce, Transfer, Accept, or Retire (Domain 2)
Feb 14, 2026
Episode 25 — Build a Living AI Risk Register: Structure, Owners, Updates, and Reporting (Domain 2)
Feb 14, 2026
Episode 24 — Run AI Risk Assessments Consistently: Methods, Criteria, and Evidence Rules (Domain 2)
Feb 14, 2026
Episode 23 — Stand Up an AI Risk Intake Process: Bring New Use Cases Under Control (Domain 2)
Feb 14, 2026
Episode 22 — Design the AI Risk Operating Model: People, Process, Tools, and Cadence (Domain 2)
Feb 14, 2026
Episode 21 — Build an AI Risk Program Charter: Scope, Objectives, and Success Measures (Domain 2)
Feb 14, 2026
Episode 20 — Spaced Retrieval Review: Governance Decisions and Risk Language Rapid Recall (Domain 1)
Feb 14, 2026
Episode 19 — Define AI Risk KRIs: Signals That Warn Before Harm Happens (Domain 2)
Feb 14, 2026
Episode 18 — Translate AI Risk for Executives: Clear Briefings Without Technical Fog (Domain 1)
Feb 14, 2026
Episode 17 — Use COBIT-Style Controls for AI: Objectives, Practices, and Assurance Thinking (Domain 1)
Feb 14, 2026
Episode 16 — Integrate AI Risk into ERM: Shared Language, Shared Processes, Shared Metrics (Domain 1)
Feb 14, 2026
Episode 15 — Classify AI by Impact: High-Risk Uses, Critical Decisions, and Safety Roles (Domain 1)
Feb 14, 2026
Episode 14 — Inventory AI Systems Completely: Models, Data, Vendors, and Shadow AI (Domain 1)
Feb 14, 2026
Episode 13 — Create AI Documentation Expectations: What Evidence Must Always Exist (Domain 2)
Feb 14, 2026
Episode 12 — Build Standards for Responsible AI: Ethics, Fairness, Transparency, and Oversight (Domain 1)
Feb 14, 2026
Episode 11 — Write Practical AI Policies: What Is Allowed, Restricted, and Prohibited (Domain 1)
Feb 14, 2026
Episode 10 — Set AI Risk Appetite and Tolerance That Leaders Can Defend (Domain 1)
Feb 14, 2026
Episode 9 — Align AI Use Cases to Strategy: Value, Constraints, and Risk Boundaries (Domain 1)
Feb 14, 2026
Episode 8 — Establish AI Governance That Works: Committees, Charters, and Authority Lines (Domain 1)
Feb 14, 2026
Episode 7 — Define AI Risk Ownership Clearly: Roles, Accountability, and Decision Rights (Domain 1)
Feb 14, 2026
Episode 6 — Connect AI Outcomes to Business Harm: Money, Safety, Trust, and Law (Domain 1)
Feb 14, 2026
Episode 5 — Recognize Where AI Goes Wrong: Errors, Bias, Drift, and Misuse Risks (Domain 3)
Feb 14, 2026
Episode 4 — Explain AI in Plain English: Models, Data, Training, and Inference Basics (Domain 1)
Feb 14, 2026
Episode 3 — Build a Spoken Study Plan That Covers Every AAIR Practice Area (Non-ECO Orientation)
Feb 14, 2026
Episode 2 — Understand the AAIR Exam: Format, Scoring, Rules, and Retake Policies (Non-ECO Orientation)
Feb 14, 2026
Episode 1 — Start Strong with AAIR: What AI Risk Really Means at Work (Non-ECO Orientation)
Feb 14, 2026