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All Episodes

Software Engineering Institute (SEI) Podcast Series — 436 episodes · page 1 of 5

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Title
1

Why Accuracy Isn't Enough: A New Quality Model for Real-World ML Components

2

Breaking Down Barriers: How LLMs Enable Software Analysis in Classified Environments

3

Data-Driven Defense: Cyber Resilience in the Age of AI

4

Software-Defined Warfare: Expanding the Frontier

5

From Coordination Chaos to Mission Focus: The Waypoints Framework

6

An LLM Evaluation Framework for High-Stakes AI

7

Protecting AI Systems Against Data Poisoning

8

Goal-Line Defense: A Tool to Discover and Mitigate UEFI Vulnerabilities

9

Leadership, Legacy, and the Power of Mentors: Insights from Dr. Paul Nielsen

10

With a Little Help from Our Civilian Friends: Cybersecurity Reserve Is Both Feasible and Advisable

11

Maturing AI Adoption: From Chaos to Consistency

12

Temporal Memory Safety in C and C++: An AI-Enhanced Pointer Ownership Model

13

AI for the Warfighter: Acquisition Challenges and Guidance

14

Visibility Through the Clouds with Network Flow Logs

15

Orchestrating the Chaos: Protecting Wireless Networks from Cyber Attacks

16

From Data to Performance: Understanding and Improving Your AI Model

17

What Could Possibly Go Wrong? Safety Analysis for AI Systems

18

Getting Your Software Supply Chain In Tune with SBOM Harmonization

19

API Security: An Emerging Concern in Zero Trust Implementations

20

Delivering Next-Generation AI Capabilities

21

The Benefits of Rust Adoption for Mission-and-Safety-Critical Systems

22

Threat Modeling: Protecting Our Nation's Complex Software-Intensive Systems

23

Understanding Container Reproducibility Challenges: Stopping the Next Solar Winds

24

Mitigating Cyber Risk with Secure by Design

25

The Magic in the Middle: Evolving Scaled Software Solutions for National Defense

26

Making Process Respectable Again: Advancing DevSecOps in the DoD Mission Space

27

Deploying on the Edge

28

The Best and Brightest: 6 Years of Supporting the President's Cup Cybersecurity Competition

29

Updating Risk Assessment in the CERT Secure Coding Standard

30

Delivering Next Generation Cyber Capabilities to the DoD Warfighter

31

Getting the Most Out of Your Insider Risk Data with IIDES

32

Grace Lewis Outlines Vision for IEEE Computer Society Presidency

33

Improving Machine Learning Test and Evaluation with MLTE

34

DOD Software Modernization: SEI Impact and Innovation

35

Securing Docker Containers: Techniques, Challenges, and Tools

36

An Introduction to Software Cost Estimation

37

Cybersecurity Metrics: Protecting Data and Understanding Threats

38

3 Key Elements for Designing Secure Systems

39

Using Role-Playing Scenarios to Identify Bias in LLMs

40

Best Practices and Lessons Learned in Standing Up an AISIRT

41

3 API Security Risks (and How to Protect Against Them)

42

Evaluating Large Language Models for Cybersecurity Tasks: Challenges and Best Practices

43

Capability-based Planning for Early-Stage Software Development

44

Safeguarding Against Recent Vulnerabilities Related to Rust

45

Developing a Global Network of Computer Security Incident Response Teams (CSIRTs)

46

Automated Repair of Static Analysis Alerts

47

Developing and Using a Software Bill of Materials Framework

48

Using Large Language Models in the National Security Realm

49

Atypical Applications of Agile and DevSecOps Principles

50

When Agile and Earned Value Management Collide: 7 Considerations for Successful Interaction

51

The Impact of Architecture on Cyber-Physical Systems Safety

52

ChatGPT and the Evolution of Large Language Models: A Deep Dive into 4 Transformative Case Studies

53

The Cybersecurity of Quantum Computing: 6 Areas of Research

54

User-Centric Metrics for Agile

55

The Product Manager's Evolving Role in Software and Systems Development

56

Measuring the Trustworthiness of AI Systems

57

Actionable Data in the DevSecOps Pipeline

58

Insider Risk Management in the Post-Pandemic Workplace

59

An Agile Approach to Independent Verification and Validation

60

Zero Trust Architecture: Best Practices Observed in Industry

61

Automating Infrastructure as Code with Ansible and Molecule

62

Identifying and Preventing the Next SolarWinds

63

A Penetration Testing Findings Repository

64

Understanding Vulnerabilities in the Rust Programming Language

65

We Live in Software: Engineering Societal-Scale Systems

66

Secure by Design, Secure by Default

67

Key Steps to Integrate Secure by Design into Acquisition and Development

68

An Exploration of Enterprise Technical Debt

69

The Messy Middle of Large Language Models

70

An Infrastructure-Focused Framework for Adopting DevSecOps

71

Software Security in Rust

72

Improving Interoperability in Coordinated Vulnerability Disclosure with Vultron

73

Asking the Right Questions to Coordinate Security in the Supply Chain

74

Securing Open Source Software in the DoD

75

A Model-Based Tool for Designing Safety-Critical Systems

76

Managing Developer Velocity and System Security with DevSecOps

77

A Method for Assessing Cloud Adoption Risks

78

Software Architecture Patterns for Deployability

79

ML-Driven Decision Making in Realistic Cyber Exercises

80

A Roadmap for Creating and Using Virtual Prototyping Software

81

Software Architecture Patterns for Robustness

82

A Platform-Independent Model for DevSecOps

83

Using the Quantum Approximate Optimization Algorithm (QAOA) to Solve Binary-Variable Optimization Problems

84

Trust and AI Systems

85

A Dive into Deepfakes

86

Challenges and Metrics in Digital Engineering

87

The 4 Phases of the Zero Trust Journey

88

DevSecOps for AI Engineering

89

Undiscovered Vulnerabilities: Not Just for Critical Software

90

Explainable AI Explained

91

Model-Based Systems Engineering Meets DevSecOps

92

Incorporating Supply-Chain Risk and DevSecOps into a Cybersecurity Strategy

93

Software and Systems Collaboration in the Era of Smart Systems

94

Securing the Supply Chain for the Defense Industrial Base

95

Securing the Supply Chain for the Defense Industrial Base

96

Building on Ghidra: Tools for Automating Reverse Engineering and Malware Analysis

97

Envisioning the Future of Software Engineering

98

Implementing the DoD's Ethical AI Principles

99

Walking Fast Into the Future: Evolvable Technical Reference Frameworks for Mixed-Criticality Systems

100

Software Engineering for Machine Learning: Characterizing and Understanding Mismatch in ML Systems