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

This post summarizes the benefits, practices, and tools for using a modeling language and compares the capabilities of SysML and AADL for use in model-based systems engineering (MBSE).

The 15th practice described in the newly released edition of the Common Sense Guide to Mitigating Insider Threats is Practice 15: Enforce separation of duties and least privilege. In this post, I ...

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 ...

This SEI Blog post highlights the application of MDE tools for automatic code generation and provides a template for collecting information from MDE vendors.

This SEI Blog post describes efforts to develop fuzzy hashing, a technique to help analysts determine if two pieces of suspected malware are similar.

Learn about the latest security enhancements in the C programming language standard, and improvements to mitigate common vulnerabilities in this SEI Blog.

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 ...

Researchers, vendors, and government bodies gathered to share solutions for implementing a zero trust architecture.

This post evaluates the pros and cons of the Exploit Prediction Scoring System (EPSS), a data-driven model designed to estimate the probability that software vulnerabilities will be exploited in ...

CERT/CC advisories are now part of the US-CERT National Cyber Awareness System. We provide these advisories, published by year, for historical purposes. This report details the description, impact, ...

Hardware is a key enabler for machine learning. Recent advances in the field, including the introduction of graphics processing units, have had a significant impact on the training of AI systems.