sei.cmu

Rust Software Security: A Current State Assessment

Sible, J., and Svoboda, D., 2022: Rust Software Security: A Current State Assessment. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
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Bridging Research and Practice in LLM Agent Security

This newsletter compiles the latest SEI releases and news about mitigating security risks in agentic large language models (LLMs), AI-powered memory safety with the pointer ownership model, aligning ...
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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 ...
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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

An Introduction to the Cybersecurity Maturity Model Certification (CMMC)

Stewart, K., and Hoover, A., 2020: An Introduction to the Cybersecurity Maturity Model Certification (CMMC). Carnegie Mellon University, Software Engineering ...
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Architecting the Future of Software Engineering: A National Agenda for Software Engineering Research & Development

Software is vital to our country’s global competitiveness, innovation, and national security. It also ensures our modern standard of living and enables continued advances in defense, infrastructure, ...
sei.cmu

CERT Advisories 1988-2004

NOTE: CERT/CC advisories have become part of the US-CERT National Cyber Awareness System.
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 ...
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PSP: A Self-Improvement Process for Software Engineers

PSP: A Self-Improvement Process for Software Engineers presents a disciplined process for software engineers and anyone else involved in software development. Most software-development groups have ...
sei.cmu

The Challenge of Adversarial Machine Learning

Churilla, M., VanHoudnos, N., and Beveridge, R., 2023: The Challenge of Adversarial Machine Learning. Carnegie Mellon University, Software Engineering Institute's ...
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Engineering Tactical and AI-Enabled Systems

In this episode, Grace Lewis and Shane McGraw discuss how the SEI is applying research, through its highly successful Tactical and AI-Enabled Systems (TAS) initiative, to develop foundational ...
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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 ...