Three SEI leaders were chosen for high positions in the IEEE Computer Society and the Internet Engineering Task Force.

SEI director and chief executive officer Paul Nielsen was inducted into the Cyber Security Hall of Fame in the fall of 2024.

SEI chief technology officer Tom Longstaff discusses how SEI research can help the DoD rapidly scale artificial intelligence and autonomous systems.

The Shrike prototype merges machine-learning threat recognition and location capability with off-the-shelf unmanned aerial systems to augment artillery forward observation.

The five-year relationship has helped the Army establish the technical underpinnings for important artificial intelligence systems.

The SEI has created and delivered more than 150 hours of training materials to fill the gap on AI Engineering for the Department of Defense.

The SEI piloted a four-week mentorship program to jumpstart malware analysis capability and develop a certification for the U.S. armed services.

The study for the DoD Chief Information Officer found the department should scale up its pockets of DevSecOps success.

The SEI brings together software leaders and practitioners from industry, government, and academia to advance software as a strategic advantage.

The Cybersecurity Maturity Model Certification, which the SEI helped create, has become an official DoD rule.

The SEI established the Overhead Persistent Infrared (OPIR) Tools, Applications, and Processing (TAP) Lab’s collaborative computing environment and software development processes.

Estimating fuel savings from aircraft modifications is a laborious process for Air Force experts, but not for an SEI machine learning model.

In its first year, the SEI’s Artificial Intelligence Security Incident Response Team (AISIRT) learned how AI meets and challenges cybersecurity practices.

Research in APIs, Rust programming, large language models for secure code, and community events support building security into the software development lifecycle.

Three SEI studies evaluated the state of the practice of machine unlearning, bias auditing, and AI red-teaming.

Polar is a secure, scalable framework providing real-time visibility into the current state of an organization’s DevSecOps infrastructure.

Some of the SEI’s longest standing areas of expertise—software engineering, acquisitions, and Agile—have seen the F-35 fighter jet program through one of the military’s most complex weapons acquisitions.

The practical guidance in the SEI’s seminal CERT secure coding standards has improved the security and resilience of software and systems that our national security, critical infrastructure, and daily lives depend on.

In 2024, many SEI researchers held leadership positions in professional organizations.