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PODCAST

Software Engineering Institute (SEI) Podcast Series

Members of Technical Staff at the Software Engineering Institute

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

technology

All Episodes

21:47

A Method for Assessing Cloud Adoption Risks

Software Engineering Institute (SEI) Podcast Series ·

2022/11/17

The shift to a cloud environment provides significant benefits. Cloud resources can be scaled quickly, updated frequently, and widely accessed without geographic limitations. Realizing these benefits, however, requires organizations to manage associated organizational and technical risks. In this podcast from the Carnegie Mellon University Software Engineering Institute, Chris Alberts, principal cybersecurity analyst in the SEI’s CERT Division, discusses with principal researcher Suzanne Miller a

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29:09

Software Architecture Patterns for Deployability

Software Engineering Institute (SEI) Podcast Series ·

2022/11/15

Competitive pressures in many domains, as well as development paradigms such as Agile and DevSecOps, have led to the increasingly common practice of continuous delivery or continuous deployment where frequent updates to software systems are rapidly and reliably fielded. In today’s systems, releases can occur at any time—possibly hundreds of releases per day—and each can be instigated by a different team within an organization. Being able to release frequently means that bug fixes and security

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48:58

ML-Driven Decision Making in Realistic Cyber Exercises

Software Engineering Institute (SEI) Podcast Series ·

2022/10/13

In this podcast from the Carnegie Mellon University Software Engineering Institute, Thomas Podnar and Dustin Updyke, both senior cybersecurity engineers with the SEI’s CERT Division, discuss their work to apply machine learning to increase the realism of non-player characters (NPCs) in cyber training exercises.

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56:30

A Roadmap for Creating and Using Virtual Prototyping...

Software Engineering Institute (SEI) Podcast Series ·

2022/10/06

In this podcast from the Carnegie Mellon University Software Engineering Institute, Douglass Post and Richard Kendall, authors of "Creating and Using Virtual Prototyping Software: Principles and Practices" discuss with principal researcher Suzanne Miller experiences and insights that they gleaned from applying virtual prototyping in CREATE (Computational Research and Engineering Acquisition Tools and Environments), a multiyear DoD program to develop and deploy software for systems like ships, air

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31:13

Software Architecture Patterns for Robustness

Software Engineering Institute (SEI) Podcast Series ·

2022/09/15

In this podcast from the Carnegie Mellon University Software Engineering Institute, visiting scientist Rick Kazman and principal researcher Suzanne Miller discuss software architecture patterns and the effect that certain architectural patterns have on quality attributes, such as availability and robustness. Kazman also provides examples of mechanisms—such as architectural tactics and patterns—and the effects they have on availability and robustness, especially in cloud-based systems.

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23:41

A Platform-Independent Model for DevSecOps

Software Engineering Institute (SEI) Podcast Series ·

2022/09/08

DevSecOps encompasses all the best software engineering principles known today with an emphasis on faster delivery through increased collaboration of all stakeholders resulting in more secure, useable, and higher-quality software systems. In this podcast from the Carnegie Mellon University Software Engineering Institute, researchers Tim Chick and Joe Yankel present a DevSecOps Platform-Independent Model (PIM), which uses model based systems engineering (MBSE) to formalize the practices of DevSecOps

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27:36

Using the Quantum Approximate Optimization Algorithm...

Software Engineering Institute (SEI) Podcast Series ·

2022/08/18

In this podcast from the Carnegie Mellon University Software Engineering Institute, Jason Larkin and Daniel Justice, researchers in the SEI’s AI Division, discuss a paper outlining their efforts to simulate the performance of Quantum Approximate Optimization Algorithm (QAOA) for the Max-Cut problem and compare it with some of the best classical alternatives, for exact, approximate, and heuristic solutions.

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35:24

Trust and AI Systems

Software Engineering Institute (SEI) Podcast Series ·

2022/08/05

To ensure trust, artificial intelligence systems need to be built with fairness, accountability, and transparency at each step of the development cycle. In this podcast from the Carnegie Mellon University Software Engineering Institute, Carol Smith, a senior research scientist in human machine interaction, and Dustin Updyke, a senior cybersecurity engineering in the SEI’s CERT Division, discuss the construction of trustworthy AI systems and factors influencing human trust of AI systems.

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31:58

A Dive into Deepfakes

Software Engineering Institute (SEI) Podcast Series ·

2022/07/28

In this podcast from the Carnegie Mellon University Software Engineering Institute, Shannon Gallagher, a data scientist with SEI’s CERT Division, and Dominic Ross, multimedia team lead for the SEI, discuss deepfakes, their exponential growth in recent years, their increasing technical sophistication, and the problems they pose for individuals and organizations. Gallagher and Ross also discuss the SEI’s recent research in assessing the technology underlying the creation and detection of deepfakes

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42:18

Challenges and Metrics in Digital Engineering

Software Engineering Institute (SEI) Podcast Series ·

2022/07/13

Digital engineering uses digital tools and representations in the process of developing, sustaining, and maintaining systems, including requirements, design, analysis, implementation, and test. The digital modeling approach is intended to establish an authoritative source of truth for the system, in which discipline-specific views of the system are created using the same model elements. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), William “Bill” Nichols,

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34:28

The 4 Phases of the Zero Trust Journey

Software Engineering Institute (SEI) Podcast Series ·

2022/07/05

Over the past several years, zero trust architecture has emerged as an important topic within the field of cybersecurity. Heightened federal requirements and pandemic-related challenges have accelerated the timeline for zero trust adoption within the federal sector. Private sector organizations are also looking to adopt zero trust to bring their technical infrastructure and processes in line with cybersecurity best practices. Real-world preparation for zero trust, however, has not caught up with

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43:13

DevSecOps for AI Engineering

Software Engineering Institute (SEI) Podcast Series ·

2022/06/21

In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Hasan Yasar, technical director, Continuous Deployment of Capability at the SEI, and Jay Palat, interim director of AI for Mission in the SEI’s AI Division, discuss how to engineer AI systems with DevSecOps and explore the relationship between MLOps and DevSecOps.

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35:26

Undiscovered Vulnerabilities: Not Just for Critical...

Software Engineering Institute (SEI) Podcast Series ·

2022/06/02

In this podcast from the Carnegie Mellon University Software Engineering Institute, Jonathan Spring, a senior vulnerability researcher, discusses with Suzanne Miller the findings in a paper he published recently analyzing the number of undiscovered vulnerabilities in information systems. This paper examines the paradigm that the number of undiscovered vulnerabilities is manageably small through the lens of mathematical concepts from the theory of computing.

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25:49

Explainable AI Explained

Software Engineering Institute (SEI) Podcast Series ·

2022/05/16

As the field of artificial intelligence (AI) has matured, increasingly complex opaque models have been developed and deployed to solve hard problems. Unlike many predecessor models, these models, by the nature of their architecture, are harder to understand and oversee. When such models fail or do not behave as expected or hoped, it can be hard for developers and end-users to pinpoint why or determine methods for addressing the problem. Explainable AI (XAI) meets the emerging demands of AI

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34:10

Model-Based Systems Engineering Meets DevSecOps

Software Engineering Institute (SEI) Podcast Series ·

2022/04/05

In this podcast from the Carnegie Mellon University Software Engineering Institute, senior researchers Jerome Hugues and Joe Yankel discuss ModDevOps, an extension of DevSecOps that embraces model-based systems engineering (MBSE) practices and technology. Hugues and Yankel also discuss how making this integration between DevSecOps and MBSE explicit unlocks both the speed of DevSecOps and the risk reduction of MBSE.

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31:46

Incorporating Supply-Chain Risk and DevSecOps into a...

Software Engineering Institute (SEI) Podcast Series ·

2022/03/22

Organizations are turning to DevSecOps to produce code faster and at lower cost, but the reality is that much of the code is actually coming from the software supply chain through code libraries, open source, and third-party components where reuse is rampant. The downside is that this reused code contains defects unknown to the new user, which, in turn, propagate vulnerabilities into new systems. This is troubling news in an operational climate already rife with cybersecurity risk. Organizations

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26:04

Software and Systems Collaboration in the Era of...

Software Engineering Institute (SEI) Podcast Series ·

2022/03/09

In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), director Paul Nielsen talks with principal researcher Suzanne Miller about how the advent of smart systems has led to a growing need for effective collaboration and cross-pollination between the disciplines of systems engineering and software engineering.

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18:37

Securing the Supply Chain for the Defense Industrial...

Software Engineering Institute (SEI) Podcast Series ·

2022/02/22

In this podcast from the Carnegie Mellon University Software Engineering Institute, Gavin Jurecko, who leads the Resilience Diagnostics Team, talks with Katie Stewart about risks associated with the supply chains of the defense industrial base (DIB), and how the SEI works with the U.S. Department of Defense to help secure the DIB supply chain.

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Securing the Supply Chain for the Defense Industrial...

Software Engineering Institute (SEI) Podcast Series ·

2022/02/22

In this podcast from the Carnegie Mellon University Software Engineering Institute, Gavin Jurecko, who leads the Resilience Diagnostics Team, talks with Katie Stewart about risks associated with the supply chains of the defense industrial base (DIB), and how the SEI works with the U.S. Department of Defense to help secure the DIB supply chain.

en

23:24

Building on Ghidra: Tools for Automating Reverse...

Software Engineering Institute (SEI) Podcast Series ·

2022/02/08

In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Jeffrey Gennari, a senior malware reverse engineer, and Garret Wassermann, a vulnerability analyst, both with the SEI’s CERT Division, discuss Kaiju, a series of tools that they have developed that allows for malware analysis and reverse engineering. Kajiu helps analysts take better advantage of Ghidra, the National Security Agency’s reverse-engineering tool.

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465 results

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