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This Locale — 80 episodes

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Title
1

Foundations of AI & Cybersecurity - Lesson 69: Internal Organizational Governance and Policy Controls

2

Foundations of AI & Cybersecurity - Lesson 68: External Laws, Regulations, and Global Standards

3

Foundations of AI & Cybersecurity - Lesson 67: Shadow AI (Autonomous & Unapproved AI Systems)

4

Foundations of AI & Cybersecurity - Lesson 66: AI and the Core AI Risks (Threats and Exposure Categories)

5

Foundations of AI & Cybersecurity - Lesson 65: AI Security, Risk, and Governance Roles

6

Foundations of AI & Cybersecurity - Lesson 64: AI Security, Risk, and Governance Roles

7

Foundations of AI & Cybersecurity - Lesson 62: AI Development and Engineering Roles

8

Foundations of AI & Cybersecurity - Lesson 62: AI Governance - Organizational Structures for Secure AI Systems

9

Foundations of AI & Cybersecurity - Lesson 60: AI-Integrated DevSecOps - CI-CD Security Pipeline

10

Foundations of AI & Cybersecurity - Lesson 56: AI-Automated Incident & IT Operations Management

11

Foundations of AI & Cybersecurity - Lesson 54: 3.3.1 Enhanced Automation & Scripting Foundations

12

Foundations of AI & Cybersecurity - Lesson 52: AI-Automated Attack Construction & Operations

13

Foundations of AI & Cybersecurity - Lesson 51: AI-Enabled Evasion & Obfuscation Techniques

14

Foundations of AI & Cybersecurity - Lesson 50: AI-Driven Reconnaissance and Target Discovery

15

Foundations of AI & Cybersecurity - Lesson 49: AI-Enhanced Identity & Influence Attacks

16

Foundations of AI & Cybersecurity - Lesson 47: Use Cases for Using Al-Enabled Tools to Facilitate Security Tasks

17

Foundations of AI & Cybersecurity - Lesson 44: Using Al-Enabled Tools to Facilitate Security Tasks

18

Foundations of AI & Cybersecurity - Lesson 43: Applying Compensating Controls

19

Foundations of AI & Cybersecurity - Lesson 42: Scenario for Determining Root Cause and Evidence Strength

20

Foundations of AI & Cybersecurity - Lesson 41: Determining Root Cause and Evidence Strength

21

Foundations of AI & Cybersecurity - Lesson 40: Scenario for Identifying Direct Model-Targeted Attacks

22

Foundations of AI & Cybersecurity - Lesson 39: Identifying Direct Model-Targeted Attacks

23

Foundations of AI & Cybersecurity - Lesson 38: Scenario on Analyzing the Attack Surface,& Classify the Attack Type

24

Foundations of AI & Cybersecurity - Lesson 37: Analyzing the Attack Surface & Classify the Attack Type

25

Foundations of AI & Cybersecurity - Lesson 36: Scenario on Identifying the Attack Indicators

26

Foundations of AI & Cybersecurity - Lesson 35: Identifying the Attack Indicators

27

Foundations of AI & Cybersecurity - Lesson 34: Scenario on Auditing Model Output for Risks

28

Foundations of AI & Cybersecurity - Lesson 33: Audit Model Output for Risks

29

Foundations of AI & Cybersecurity - Lesson 32: Scenario on Analyzing Model Behavior

30

Foundations of AI & Cybersecurity - Lesson 31: Analyze Model Behavior

31

Foundations of AI & Cybersecurity - Lesson 30: Scenario on Generating and Processing Logs

32

Foundations of AI & Cybersecurity - Lesson 29: Generate & Process Logs

33

Foundations of AI & Cybersecurity - Lesson 28: Scenario on Capture & Observe AI Activity

34

Foundations of AI & Cybersecurity - Lesson 27: Monitoring and Auditing AI systems - Capture & Observe AI Activity

35

Foundations of AI & Cybersecurity - Lesson 26: Scenario on Data Safety

36

Foundations of AI & Cybersecurity - Lesson 25: Data Safety

37

Foundations of AI & Cybersecurity - Lesson 24: Scenario Using Encryption Requirements

38

Foundations of AI & Cybersecurity - Lesson 23: Encryption requirements

39

Foundations of AI & Cybersecurity - Lesson 22: Scenario Implementing Appropriate Access controls for an AI System

40

Foundations of AI & Cybersecurity - Lesson 21: Building Secure AI - Requirements Phase with API Gateway Security and Interaction Controls

41

Foundations of AI & Cybersecurity - Lesson 20: Building Secure AI - Requirements Phase - Using Guardrail Assurance, Testing, and Validation

42

Foundations of AI & Cybersecurity - Lesson 19: Building Secure AI - Requirements Phase - Implementing Model-Level Security and Control Design

43

Foundations of AI & Cybersecurity - Lesson 18: Scenario using AI threat-modeling resources

44

Foundations of AI & Cybersecurity - Lesson 17: Explaining AI threat-modeling resources

45

Foundations of AI & Cybersecurity - Lesson 16: Bad Actors’ Use of AI in Cyber Attacks

46

Foundations of AI & Cybersecurity - Lesson 15: Secure Feedback, Audit, and Continuous Improvement

47

Foundations of AI & Cybersecurity - Lesson 14: Secure Deployment and Operational Defense

48

Foundations of AI & Cybersecurity - Lesson 13: Secure Model Engineering and Risk Controls

49

Foundations of AI & Cybersecurity - Lesson 12: Secure and Trusted Data Foundations

50

Foundations of AI & Cybersecurity - Lesson 11: Secure AI Strategy and Governance

51

Foundations of AI & Cybersecurity - Lesson 10: Retrieval Augmented Generation (RAG) - Vector Storage and Embeddings

52

Foundations of AI & Cybersecurity - Lesson 9: Model Output Watermarking and Model Parameter Watermarking

53

Foundations of AI & Cybersecurity - Lesson 8: Data Types - Structured, Semi Structured, Unstructured Data

54

Foundations of AI & Cybersecurity - Lesson 7: Module/Chapter Data Processing - Enhancement Processes with Data Augmentation, Data Balancing

55

Foundations of AI & Cybersecurity - Lesson 6: Module/Chapter 1.2.2 Data Processing - Traceability & Governance with Data Lineage, Data Provenance, and Data Governance

56

Foundations of AI & Cybersecurity - Lesson 5: Module/Chapter 1.2.1 Data Processing - Quality Assurance with Data Cleansing, Data Verification, Data Integrity

57

Foundations of AI & Cybersecurity - Lesson 4: Module/Chapter 1.1.4 Generative AI (Cross-Domain Content Creation)

58

Foundations of AI & Cybersecurity - Lesson 3: Module/Chapter 1.1.3 Language-Focused AI Systems (NLP Models)

59

Foundations of AI & Cybersecurity - Lesson 2: Module/Chapter Deep Learning & Neural Network Architectures (Modern AI Backbone)

60

Foundations of AI & Cybersecurity - Lesson 1 - Module/Chapter 1.1.1 Core Learning Paradigms (Foundational Categories)

61

The 2026 Pivot

62

November 2025 Beige Book: Proof that AI Is Replacing Workers, But Who Will Replace the Consumers?

63

The State of AI 2025 Report

64

The Rise of the Agentic Internet – pains and opportunities

65

Prosper or Peril: Restructuring the Global Trading System and the Future of the Fed

66

The Transformative Potential of AI in Higher Education

67

Post Labor Economics Part 2 - Rethinking Prosperity in an AI Dominated World Without Work

68

America’s AI Action Plan: Grand Vision Meets Ground Reality

69

Tariffs, Tech, and Hesitation - America’s Economy Is Treading Water

70

Preventing AI Catastrophe - The Hidden Risk Behind AI’s Breakneck Progress: Misaligned Power

71

Post Labor Economics - What If Owning Things, Not Working Jobs, Became the Way People Make Money?

72

AI Is Evolving Faster Than Markets Can Absorb - What Happens Next?

73

May 2025 Beige Book Review

74

AI Search is Not the Future It's the New Present

75

Current Business Economic Climate May 2025 - Better than what's being reported

76

April 2025 Beige Book Review

77

AI 2027 - Part 2 - Alternate Future Scenarios of Intelligence Emergence

78

AI 2027 - Part 1 - Future Scenario of Superintelligence Summary

79

WEF Global Risks Report 2025

80

2025 Tech Trends Report