All Episodes
Displaying 61 - 80 of 91 in total
Episode 31 — Monitor AI metrics to spot misuse, drift, and early incident signals (Task 18)
This episode explains how to monitor AI metrics in a way that reveals misuse, drift, and early incident signals before they become customer-impacting failures, which i...
Episode 30 — Define AI security metrics leaders can understand and act on (Task 18)
This episode teaches how to define AI security metrics that drive decisions, because AAISM scenarios often test whether you can choose measurements that are meaningful...
Episode 29 — Build an AI security program that fits the enterprise security program (Task 19)
This episode explains how to integrate AI security into the broader enterprise security program so controls are consistent, measurable, and supportable, which is a com...
Episode 28 — Manage retention and deletion to reduce long-term AI data exposure (Task 14)
This episode focuses on retention and deletion as risk-reduction controls for AI data, which AAISM tests through scenarios involving compliance obligations, privacy ex...
Episode 27 — Preserve data integrity so models stay reliable and trustworthy (Task 14)
This episode teaches integrity protections that keep AI data trustworthy, because AAISM scenarios often hinge on whether model behavior can be relied on when data pipe...
Episode 26 — Protect training and test data with access control and secure storage (Task 14)
This episode explains how to protect training and test data so confidentiality and compliance are preserved, and why AAISM questions often focus on access control and ...
Episode 25 — Identify data risks across the AI life cycle: leaks and tampering (Task 14)
This episode teaches how to identify data risks across the AI life cycle, focusing on leakage and tampering threats that AAISM frequently tests through scenarios invol...
Episode 24 — Keep the AI inventory accurate with routine governance checks (Task 13)
This episode shows how to keep an AI inventory accurate over time, because AAISM expects you to treat inventory as a living control rather than a one-time project. You...
Episode 23 — Classify AI assets by sensitivity, criticality, and compliance scope (Task 13)
This episode explains how to classify AI assets so controls can be applied proportionally, which is a common AAISM decision point when scenarios ask what to protect fi...
Episode 22 — Inventory AI assets: models, prompts, data, and key dependencies (Task 13)
This episode teaches how to build an AI asset inventory that is useful for security, audit, and incident response, which AAISM scenarios often test by asking what must...
Episode 21 — Refresh training when threats, tools, and regulations change (Task 21)
This episode explains how to keep AI security awareness training current so it remains effective as new model capabilities, attacker methods, and compliance obligation...
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...
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 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 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 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 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 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 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 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...