Software Engineering Institute (SEI) Podcast Series

Mar 11 2025 405 ep. 24 mins 2.1k
Software Engineering Institute (SEI) Podcast Series artwork

The SEI Podcast Series presents conversations in software engineering, cybersecurity, and future technologies.

  Technology  Science
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Grace Lewis Outlines Vision for IEEE Computer Society Presidency

Mar 11 2025 18 mins  
Grace Lewis, a principal researcher at the Carnegie Mellon University Software Engineering Institute (SEI) and lead of the SEI’s Tactical and AI-Enabled Systems Initiative, was elected the 2026 president of the IEEE Computer Society (CS), the largest community of computer scientists and engineers, with more than 370,000 members around the world. In this SEI podcast, Lewis sits d

Improving Machine Learning Test and Evaluation with MLTE

Mar 03 2025 29 mins  
Machine learning (ML) models commonly experience issues when integrated into production systems. In this podcast, researchers from the Carnegie Mellon University Software Engineering Institute and the U.S. Army AI Integration Center (AI2C) discuss Machine Learning Test and Evaluation (MLTE), a new tool that provides a process and infrastructure for ML test and evaluation. MLTE can

DOD Software Modernization: SEI Impact and Innovation

Feb 25 2025 27 mins  
As software size, complexity, and interconnectedness has grown, software modernization within the Department of Defense (DoD) has become more important than ever. In this discussion moderated by Matthew Butkovic, technical director of risk and resilience in the SEI CERT Division, SEI director Paul Nielsen outlines the SEI’s work with the DoD on software modernization, including

Securing Docker Containers: Techniques, Challenges, and Tools

Dec 16 2024 39 mins  
Containerization allows developers to run individual software applications in an isolated, controlled, repeatable way. With the increasing prevalence of cloud computing environments, containers are providing more and more of their underlying architecture. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Sasank Venkata Vishnubhatla and Maxwel

An Introduction to Software Cost Estimation

Dec 04 2024 22 mins  
Software cost estimation is an important first step when beginning a project. It addresses important questions regarding budget, staffing, scheduling, and determining if the current environment will support the project. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Anandi Hira, a data scientist on the SEI’s Software Engineering Measurem

Cybersecurity Metrics: Protecting Data and Understanding Threats

Oct 11 2024 27 mins  
One of the biggest challenges in collecting cybersecurity metrics is scoping down objectives and determining what kinds of data to gather. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Bill Nichols, who leads the SEI’s Software Engineering Measurements and Analysis Group, discusses the importance of cybersecurity measurement, what kinds

3 Key Elements for Designing Secure Systems

Oct 02 2024 36 mins  
To make secure software by design a reality, engineers must intentionally build security throughout the software development lifecycle. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Timothy A. Chick, technical manager of the Applied Systems Group in the SEI’s CERT Division, discusses building, designing, and operating secure systems.

Using Role-Playing Scenarios to Identify Bias in LLMs

Sep 16 2024 45 mins  
Harmful biases in large language models (LLMs) make AI less trustworthy and secure. Auditing for biases can help identify potential solutions and develop better guardrails to make AI safer. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Katie Robinson and Violet Turri, researchers in the SEI’s AI Division, discuss their recent work usin

Best Practices and Lessons Learned in Standing Up an AISIRT

Sep 09 2024 38 mins  
In the wake of widespread adoption of artificial intelligence (AI) in critical infrastructure, education, government, and national security entities, adversaries are working to disrupt these systems and attack AI-enabled assets. With nearly four decades in vulnerability management, the Carnegie Mellon University Software Engineering Institute (SEI) recognized a need to creat

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

Aug 22 2024 19 mins  
The exposed and public nature of application programming interfaces (APIs) come with risks including the increased network attack surface. Zero trust principles are helpful for mitigating these risks and making APIs more secure. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), McKinley Sconiers-Hasan, a solutions engineer in the SEI CERT Di