Software Engineering Institute (SEI) is marking 40 years as a cornerstone of advancing software as a strategic advantage for ...

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

A new report assembles guidance on the testing and evaluation of machine-learning models for aerial object detection.

AISIRT Advances National Security with Secure AI Created November 2023 • Updated March 2025 In November 2023, the Software Engineering Institute (SEI) developed the first Artificial Intelligence ...

This collection contains resources about the Architecture Tradeoff Analysis Method (ATAM), a method for evaluating software architectures against quality attribute goals.

As a vulnerability analyst at the CERT Coordination Center, I am interested not only in software vulnerabilities themselves, but also exploits and exploit mitigations.

Artificial Intelligence (AI) Division Leaders in defense and national security want to obtain the leap-ahead capabilities AI offers. At the same time, it is difficult to get AI right. As many as 85% ...

The SEI led the community in creating this multi-year research and development vision and roadmap for engineering next-generation software-reliant systems.

One of the most important and widely discussed trends within the software testing community is shift left testing, which simply means beginning testing as early as practical in the lifecycle. What is ...

A deepfake is a media file—image, video, or speech, typically representing a human subject—that has been altered deceptively using deep neural networks (DNNs) to alter a person’s identity. This ...

The software architecture of a computing system is a depiction of the system that aids in understanding how the system will achieve key system qualities.

This post explores tools for understanding vulnerabilities in the Rust programming language as well as the maturity of the Rust software ecosystem as a whole and how that might impact future security ...