Experts on technical debt and DoD software modernization delivered broad-ranging findings to Congress.

New and old challenges from the annual cybersecurity competition for federal government employees are now available outside of the event.

AISIRT will analyze and respond to threats and security incidents emerging from advances in AI and machine learning.

Their membership supports the SEI’s mission and the local research community.

SEI chief technology officer Tom Longstaff describes the SEI’s approach to the predicted generative AI revolution.

The Cybersecurity and Infrastructure Security Agency’s efforts include the SEI’s Stakeholder Specific Vulnerability Categorization.

SEI researchers worked with Carnegie Mellon University faculty and students on projects ranging from malicious code detection to a cybersecurity competition.

SEI research has improved security for millions of computers.

The SEI offers many of its research-related tools available to the public.

The report from the U.S. Leadership in Software and AI Engineering Workshop outlines national priorities for engineering future software systems.

Uncertain network environments and multiple cloud service providers complicate zero trust implementation in Army deployments.

The SEI is at the forefront of verification and validation research in highly regulated environments.

The Center for Calibrated Trust Measurement and Evaluation (CaTE) aims to ensure DoD AI systems are safe, reliable, and trustworthy before fielding.

Standing up an LLM for sensitive intelligence work is feasible, but model output requires expert review, according to SEI research.

SEI engagements with two defense agencies addressed AI workforce development and the operationalization of responsible AI in DoD-adopted commercial technology.

SEI research and leadership bridges the gap between two languages crucial for systems engineering.

In 2023, many SEI researchers held leadership positions or attained special honors in professional organizations.