378 episodes

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

Software Engineering Institute (SEI) Podcast Series Members of Technical Staff at the Software Engineering Institute

    • Technology
    • 4.5 • 19 Ratings

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

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

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

    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.

    • 27 min
    Trust and AI Systems

    Trust and AI Systems

    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. 

    • 35 min
    A Dive into Deepfakes

    A Dive into Deepfakes

    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 and understanding current and future threat levels. 

     

    • 31 min
    Challenges and Metrics in Digital Engineering

    Challenges and Metrics in Digital Engineering

    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, a senior member of the technical staff with the SEI’s Software Solutions Division, discusses with principal researcher Suzanne Miller the challenges in making the transition from traditional development practices to digital engineering.

    • 42 min
    The 4 Phases of the Zero Trust Journey

    The 4 Phases of the Zero Trust Journey

    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 existing cybersecurity frameworks and literature. NIST standards have defined the desired outcomes for zero trust transformation, but the implementation process is still relatively undefined. As the nation’s first federally funded research and development center with a clear emphasis on cybersecurity, the Carnegie Mellon University Software Engineering Institute (SEI) is uniquely positioned to bridge the gap between NIST standards and real-world implementation. In this podcast, Tim Morrow and Matthew Nicolai, researchers with the SEI’s CERT Division, have outlined 4 steps that organizations can take to implement and maintain zero trust architecture.

    • 34 min
    DevSecOps for AI Engineering

    DevSecOps for AI Engineering

    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.

    • 43 min

Customer Reviews

4.5 out of 5
19 Ratings

19 Ratings

JoshCrist ,

Empowering, insightful and actionable! 👏👏👏

Whether you’re well established as someone innovating in the cybersecurity ecosystem, or just getting started as a catalyst for change within your organization - this is a must-listen podcast for you! Bobbie and the entire SEI team do an incredible job leading conversations that cover a huge breadth of topics related to the ins and outs of navigating an ever changing data and technological landscape - from leaders who’ve actually walked the path. Highly recommend listening and subscribing!

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