Software Engineering Institute

A Preliminary Report on a Model for Maturing AI Adoption: From Hype to Achieving Repeatable, Predictable Outcomes

This document introduces the key concepts of a model for AI adoption, which will provide organizational leaders with guidance on overcoming the challenges that arise as they try to realize the promise ...
Software Engineering Institute

SEI and Accenture Partner to Develop AI Adoption Maturity Model

Organizations can use the maturity model to establish a baseline for adopting artificial intelligence and roadmap future investments, according to a new SEI paper.
Software Engineering Institute

Orchestrating the Chaos: Protecting Wireless Networks from Cyber Attacks

This podcast explores radio frequency attacks, such as those conducted by APT28, and how software and cybersecurity play key roles in preventing and mitigating these exploitations.
sei.cmu

10 Lessons in Security Operations and Incident Management

Ruefle, R., 2024: 10 Lessons in Security Operations and Incident Management. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
sei.cmu

The Need to Specify Requirements for Off-Nominal Behavior

Firesmith, D., 2012: The Need to Specify Requirements for Off-Nominal Behavior. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
sei.cmu

Ping Sweeping in IPv6

Giobbi, R., 2008: Ping Sweeping in IPv6. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed December 4, 2025, https://www.sei.cmu ...
Software Engineering Institute

Bridging Research and Practice in LLM Agent Security

This systematic review discusses academic surveys, grey literature sources, and real-world case studies on securing LLM agents.
sei.cmu

How Easy Is It to Make and Detect a Deepfake?

Bernaciak, C., and Ross, D., 2022: How Easy Is It to Make and Detect a Deepfake?. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
sei.cmu

Taking DevSecOps to the Next Level with Value Stream Mapping

Brown, N., 2021: Taking DevSecOps to the Next Level with Value Stream Mapping. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
sei.cmu

Ultra-Large-Scale Systems: The Software Challenge of the Future

Ultra-Large-Scale Systems: The Software Challenge of the Future is the product of a 12-month study of ultra-large-scale (ULS) systems software. The study brought together experts in software and other ...
sei.cmu

Using ChatGPT to Analyze Your Code? Not So Fast

Sherman, M., 2024: Using ChatGPT to Analyze Your Code? Not So Fast. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed December 11 ...
sei.cmu

10 Benefits and 10 Challenges of Applying Large Language Models to DoD Software Acquisition

Robert, J., and Schmidt, D., 2024: 10 Benefits and 10 Challenges of Applying Large Language Models to DoD Software Acquisition. Carnegie Mellon University, Software ...