ABOUT THIS PODCAST 🔗
The SEI Podcast Series presents conversations in software engineering, cybersecurity, and future technologies.
Hosts:
Update frequency:
every 18 days
Average audio length:
25 minutes
Guest interviews
English
United States
437 episodes
since Oct. 17, 2006
episodic
LATEST EPISODE 🔗
AI components, whether traditional machine learning or generative AI, are embedded in many present-day systems. However, despite advances in automation, infrastructure, and tooling for developing AI components, many do not leave the prototype stage or reach production because they fail to meet ove…
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PREVIOUS EPISODES 🔗
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 manua…
Data breaches remind us of the importance of cyber resilience as an essential element of survivability and continuity of operations for all organizations, especially those operating mission-essential systems, high-value systems, and/or critical assets. Resilience is also critical to reducing the co…
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, tec…
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 inter…
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 …
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 difficu…
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 despi…
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…
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 sta…
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