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Lesson 8 · Video

Module 2: Data Security, Privacy & Model Confidentiality

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Lessons

Lesson 1

AI Security Fundamentals Intro

Lesson 2

Module 1: AI Risk Management & Program Governance

Lesson 3

The AI Risk Landscape

Lesson 3

Building an AI Security Program

Lesson 5

AI Risk Registers & Control Catalogs

Lesson 6

Integrating AI Risk into Enterprise GRC

Lesson 7

Metrics & Executive Reporting

Lesson 8

Module 2: Data Security, Privacy & Model Confidentiality

Lesson 9

Data Classification for AI Pipelines

Lesson 10

Secure Data Lifecycle

Lesson 11

Privacy Engineering & Differential Privacy

Lesson 12

Federated & Distributed Learning Security

Lesson 13

Regulatory Compliance in Data Use

Lesson 14

Module 3: Secure Model, Development, Architecture & MLOps

Lesson 15

Threat Modeling AI Systems

Lesson 16

Secure Feature Engineering

Lesson 17

Model Hardening & Robustness

Lesson 18

Secure Dev Environments & Sandboxing

Lesson 19

Reproducibility & Provenance

Lesson 20

Secure AI System Architecture

Lesson 21

Module 4: AI Supply Chain, Adversarial Defense & Incident

Lesson 23

Secure CI/CD for Models

Lesson 24

Model Registry & Feature Store Security

Lesson 25

Secrets & Credential Management

Lesson 26

Runtime Isolation & Policy Enforcement

Lesson 27

Adversarial Attacks & Defenses

Lesson 28

AI Red Teaming & Evaluation Framework

Lesson 29

Module 5: Governance, Assurance & Responsible AI

Lesson 30

Global Regulatory Overview

Lesson 31

ISO/IEC 42001 & 23894 Implementation

Lesson 32

AI System of Record & Vendor Risk

Lesson 33

Audit Evidence & Assurance Reporting

Lesson 34

Model Assurance Reporting

Lesson 35

Responsible AI Frameworks & Ethics

Lesson 36

Algorithmic Impact Assessment (AIA)

Lesson 37

Executive & Board Reporting

Lesson 38

AI Security Final Exam

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