The SEI’s CERT Coordination Center (CERT/CC) debuted a web-based collaboration platform for coordinated vulnerability disclosure called the Vulnerability Information and Coordination Environment (VINCE) in June.

In early 2020, the SEI and partner Johns Hopkins University Applied Physics Laboratory (APL) released the initial version of the Cybersecurity Maturity Model Certification (CMMC) program.

The Department of Homeland Security Cybersecurity and Infrastructure Security Agency (CISA) selected the SEI to orchestrate the second annual President’s Cup Cybersecurity Competition.

During 2020, the SEI was appointed to the Missile Defense Agency’s (MDA) Technical Direction Agent (TDA), a group composed of representatives from multiple federally funded research and development centers that provide strategic MDA mission support.

A project headed by the SEI’s Scott McMillan took a step in 2020 toward standardizing graph algorithm application development in C++.

The SEI reached a major milestone in its multiyear engagement with the Office of Acquisition Enablers within the Office of the Secretary of Defense.

Editorial: SEI chief technology officer Tom Longstaff proposes a holistic future for software engineering.

The Software Engineering Institute (SEI) will lead a National AI Engineering Initiative with funding and guidance from the Office of the Director of National Intelligence (ODNI).

After observing several deployed AI decision support systems, Rotem Guttman noticed a common issue. “Humans make poor choices..."

The inverse reinforcement learning (IRL) method predicts behavior and detects anomalies in open-world, naturalistic scenarios.

The SEI’s Artificial Intelligence Defense Evaluation (AIDE) project is developing a rigorous, standardized methodology for testing AI defenses.

Assessing building damage is a critical first step when natural disasters strike. xView2, a machine-learning (ML) computer vision system, speeds this process by using satellite imagery to classify damage to structures.

The SEI was selected by the Department of the Air Force to help inform the ABMS architecture.

The Army selected Carnegie Mellon University (CMU) to become the hub of the U.S. Army’s Artificial Intelligence Task Force (AITF).

The Secure Coding team’s automated code repair tools find and repair specific types of common security flaws in source code, avoiding painstaking verification and repair by human analysts and developers.

Over the past four years, the SEI’s support of the Air Force Space Command and, later, the Air Combat Command (ACC) has prepared traditional communications squadrons for their new MDT responsibilities.

The Department of Defense (DoD) faces two crises in microelectronics: lack of American manufacturing capacity and hardware limitations for data-centric AI applications.

The SEI is engaging in two efforts to increase DoD situational awareness. The first is an artificial intelligence (AI) engineering collaboration with the Defense Threat Reduction Agency (DTRA). The team produced a system called Cornerstone. The second SEI activity leverages Cornerstone’s self-monitoring capability to make situational awareness systems more resilient to failures.

Hasan Yasar, SEI technical director, Continuous Deployment of Capability, and his team provide expertise for implementation of Development Security Operations (DevSecOps) in the DoD.

To improve cyber-physical system analysis and testing, Hugues and his colleagues combined the SEI’s expertise in model-based engineering (MBE) and DevOps to efficiently deliver systems with increased quality.

To spur a national discussion that can inform the future direction of the field, the SEI is leading an effort to redefine how software is developed.