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 ...

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 Carnegie Mellon University (CMU) Software Engineering Institute (SEI) is marking 40 years as a cornerstone of advancing software as a strategic advantage for national security. For four decades, ...

The SMD Symposium is the leading educational, professional development and networking event in the space and missile defense community. The symposium is widely attended by leaders and professionals ...

This professional certificate program introduces technical professionals to the application and implications of AI on cybersecurity.

Hello, its Ryan. We've noticed a misconception about IPv6 that is popular on the internet: that IPv6 addresses are hard to ping sweep because there are so many possible addresses.

The Software Engineering Institute is leading and advancing software and cybersecurity to solve the nation's toughest problems.

The Software Engineering Institute is leading and advancing software and cybersecurity to solve the nation's toughest problems.

Since its inception in 1984, the SEI has worked to make software do more, be more secure, deploy faster, and cost less; improving software systems vital to national defense and the broader information ...

This document discusses the findings, recommendations, and lessons learned from engineering a large language model for national security use cases.

In this webcast, Brett Tucker and Matthew Butkovic, answer your enterprise risk management questions to help your organization achieve operational resilience in the cyber supply chain.

This post introduces Portend, a new open source toolset that simulates data drift in machine learning models and identifies the proper metrics to detect drift in production environments.