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.

  1. 6 août

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

    The recent explosion in large language model (LLM) technology has highlighted the challenges of using public generative artificial intelligence tools in classified environments, especially for software analysis. Currently, software analysis falls on the shoulders of static analysis tools and manual code review, which tend to provide limited technical depth and are often time-consuming in practice. In our latest podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Ryan Karl, an SEI embedded engineer, and John Robert, deputy director of the SEI's Software Solutions Division, discuss their work on using LLMs in unclassified environments to rapidly develop tools that accelerate software analysis in classified environments with improved accuracy for certain software analysis tasks.

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

  2. 8 juil.

    Software-Defined Warfare: Expanding the Frontier

    Software-defined warfare is today's reality for national security, shifting the emphasis in military operations from hardware to software. In the latest podcast from the Carnegie Mellon University Software Engineering Institute, SEI director Paul Nielsen recently sat down with Matthew Butkovic, technical director of Risk and Resilience in the SEI's CERT Division, to discuss the evolution of software-defined warfare and the ways in which software engineering practices can meaningfully address the challenges of implementing software on the battlefield.

    Software-Defined Warfare: Expanding the Frontier

  3. 24 juin

    From Coordination Chaos to Mission Focus: The Waypoints Framework

    In aviation, waypoints guide pilots through complex flight plans, providing some structure but maintaining flexibility. Kevin Dooley, a senior Agile transformation leader at the SEI, adopted this concept to solve one of defense acquisition's most persistent challenges: synchronizing dozens of interdependent teams without drowning in administrative noise and overhead. In the latest podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Dooley, who co-developed the Waypoints Framework with Air Force Major Adam Satterfield, sits down with Eileen Wrubel, SEI technical director for Smart Software Acquisition to discuss Waypoints and how it can help teams visualize their work and own processes so they can start collaborating.

  4. 11 juin

    An LLM Evaluation Framework for High-Stakes AI

    Experimentation and validation of LLM performance is critical when building LLM-driven systems that must reliably deliver a service, from customer service chat bots to intelligence analysis tools. To help teams meet the need for rigorous evaluation methods, a research team in the SEI's AI Division led by Violet Turri has developed the Evaluating Large Language Models (ELM) library, which is built on best practices for LLM evaluation and benchmarking. In the latest episode from the Carnegie Mellon University Software Engineering Institute, Turri sits down with Katie Robinson, a design researcher also in the SEI's AI division, to discuss the ELM library, which turns evaluation from an ad-hoc process into a repeatable, extensible framework.

    An LLM Evaluation Framework for High-Stakes AI

  5. 4 juin

    Protecting AI Systems Against Data Poisoning

    Data poisoning—where adversaries tamper with training data to corrupt model behavior—poses significant risks as AI adoption expands across critical sectors. Organizations without mechanisms in place to detect or prevent data poisoning are open to an avenue of attack that, once exploited, is difficult to remediate. Machine unlearning and model retraining are not always viable or effective solutions. In today's operational climate, where threat actors look to influence models and degrade the trust of users through incorrect behaviors, preventing data poisoning is more important than ever.  In this episode of the SEI Podcast Series, Julie Lawler and James Cunningham—AI security researchers at Carnegie Mellon University's Software Engineering Institute—discuss the growing threat of data poisoning in AI systems and highlight emerging mitigation strategies, including chain-of-custody controls.

    Protecting AI Systems Against Data Poisoning

  6. 15 avr.

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

    As recently as December 2025, the Carnegie Mellon University Software Engineering Institute (SEI's) CERT Coordination Center (CERT/CC) documented a UEFI-related vulnerability in certain motherboard models, illustrating that early-boot firmware behavior continues to present security challenges despite requiring local physical access to exploit. While CERT/CC reported seven UEFI vulnerabilities in 2025, that number remains small compared to reported vulnerabilities in other software. However, the consequences of a potential UEFI attack are often more serious given the extremely high privileges UEFI firmware possesses. In our latest SEI Podcast, Vijay Sarvepalli, a senior information security architect specializing in vulnerability and threat analysis in CERT, sits down with Michael Winter, deputy technical director of threat analysis in CERT, to discuss research and mitigation of UEFI vulnerabilities and discuss a new tool, the CERT UEFI parser, an open source tool that uses program analysis to reveal the architecture of UEFI software, and explore this veiled source of vulnerabilities.

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

  7. 6 avr.

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

    In February 2026, Paul Nielsen announced that he will transition out of his role as director and chief executive officer of the Software Engineering Institute (SEI) at Carnegie Mellon University. During Nielsen's tenure, the SEI has marked major institutional milestones that underscore its enduring role in strengthening the security, resilience, and reliability of the nation's software- and AI-intensive systems. The institute recently celebrated 40 years of innovation and saw its contract renewed, which paved the way for CMU to operate the SEI for another five years. In our latest SEI podcast, Nielsen recently sat down with Matthew Butkovic, technical director of Risk and Resilience in the SEI's CERT Division, to discuss his legacy at the SEI, the impact of mentors, and the importance of encouraging scientists and engineers to do their best work.

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

  8. 20 mars

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

    Cybersecurity staffing shortages are a major concern in the government given the increasingly sophisticated cyber attacks on the nation's critical infrastructure. In the FY2023 National Defense Authorization Act (NDAA), Congress tasked the Pentagon with finding flexible options to address cyber staffing needs. The Pentagon commissioned the SEI to conduct an independent study to assess the feasibility and advisability of creating a civilian cybersecurity reserve (CCR) that could harness cyber expertise from the private sector to mobilize a mission-ready workforce capable of operating in contested environments. In our latest podcast from the Carnegie Mellon University Software Engineering Institute (SEI), the lead authors on the report, Marie Baker, a technical manager in the SEI's CERT Division, and Chris May, technical director of the CERT Cyber Mission Readiness directorate, sit down with Mike Winter, deputy technical director of threat analysis, to discuss their findings.

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À propos

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

Informations

  • Création
    Members of Technical Staff at the Software Engineering Institute
  • Années d’activité
    2012 - 2026
  • Épisodes
    434
  • Classification
    Tous publics
  • Copyright
    © http://www.sei.cmu.edu/legal/
  • Site web de l’émission
    Software Engineering Institute (SEI) Podcast Series

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