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-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…
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…
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…
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…
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…
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.…
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…
While Stanford University found that AI investments, optimism, and accessibility are rising, a recent MIT report suggests that 95 percent of organizations are realizing no returns on their generative…
