The SEI is conducting research to help organizations significantly improve the time it takes to evolve their software, but why is software evolution relevant to organizations, and what is holding them ...

This blog post explores large language models (LLMs) in software development, implications of incorporating LLMs into software-reliant systems, and areas where more research is needed to advance their ...

The Software Engineering Institute’s free AI Robustness (AIR) tool helps federal government agencies determine the causes of ...

The Shrike prototype merges machine-learning threat recognition and location capability with off-the-shelf unmanned aerial ...

IIDES includes structures for collecting and analyzing a variety of technical, nontechnical, organizational, and incident ...

A reproducibility challenge faces machine learning (ML) systems today. This post explores configurations that increase reproducibility and provides recommendations for these challenges.

We are developing a suite of tools to automate ML mismatch detection and demonstrate how to extend descriptors to support ...

The objective of this project is to develop a methodology for evaluating the capabilities of an AI defense using publicly ...

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

The videos below cover the AI topics Introduction to AI, Responsible AI, AI and the Workforce, and AI Engineering.

Our automated refactoring solution recommends ways to improve the modularity of existing software, significantly increasing ...

Our algorithms enable fully autonomous threat hunting by modeling threat hunting as a Cyber Camouflage Game (CCG).