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

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.

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

Miller, S., 2017: Separation of Duties and Least Privilege (Part 15 of 20: CERT Best Practices to Mitigate Insider Threats Series). Carnegie Mellon University, Software Engineering Institute's ...

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

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

Shevchenko, N., 2020: An Introduction to Model-Based Systems Engineering (MBSE). Carnegie Mellon University, Software Engineering Institute's Insights (blog ...

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 ...

Novak, W., 2023: Acquisition Archetypes Seen in the Wild, DevSecOps Edition: Clinging to the Old Ways. Carnegie Mellon University, Software Engineering Institute's ...

Stewart, K., and Hoover, A., 2020: An Introduction to the Cybersecurity Maturity Model Certification (CMMC). Carnegie Mellon University, Software Engineering ...

Hughes, L., and Jackson, V., 2021: A Framework for DevSecOps Evolution and Achieving Continuous-Integration/Continuous-Delivery (CI/CD) Capabilities. Carnegie Mellon ...

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