sei.cmu

The SEI: The Leader in Software Engineering, Cybersecurity, and AI Engineering

At the SEI, we research complex software engineering, cybersecurity, and AI engineering problems; create and test innovative technologies; and transition maturing solutions into practice. We have been ...
sei.cmu

A Framework for Detection in an Era of Rising Deepfakes

Walsh, M., 2024: A Framework for Detection in an Era of Rising Deepfakes. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
sei.cmu

Applying Large Language Models to DoD Software Acquisition: An Initial Experiment

Schmidt, D., and Robert, J., 2024: Applying Large Language Models to DoD Software Acquisition: An Initial Experiment. Carnegie Mellon University, Software Engineering ...
sei.cmu

An Introduction to Model-Based Systems Engineering (MBSE)

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

CERT Insider Threat Program Manager Certificate

Executive Order 13587 requires federal agencies that operate or access classified computer networks to implement an insider threat detection and prevention program. Proposed changes to the National ...
sei.cmu

Measuring AI Accuracy with the AI Robustness (AIR) Tool

Konrad, M., Testa, N., Gates, L., Nolan, C., Shepard, D., Cohen, J., Mellinger, A., Miller, S., and Ludwick, M., 2024: Measuring AI Accuracy with the AI Robustness ...
sei.cmu

Probably Don’t Rely on EPSS Yet

Spring, J., 2022: Probably Don’t Rely on EPSS Yet. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed November 1, 2025, https ...
sei.cmu

A Framework for DevSecOps Evolution and Achieving Continuous-Integration/Continuous ...

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

Weaknesses and Vulnerabilities in Modern AI: AI Risk, Cyber Risk, and Planning for Test and ...

Scherlis, B., 2024: Weaknesses and Vulnerabilities in Modern AI: AI Risk, Cyber Risk, and Planning for Test and Evaluation. Carnegie Mellon University, Software ...
sei.cmu

Six Best Practices for Securing a Robust Domain Name System (DNS) Infrastructure

Langston, M., 2017: Six Best Practices for Securing a Robust Domain Name System (DNS) Infrastructure. Carnegie Mellon University, Software Engineering Institute's ...
sei.cmu

Software Architecture

The software architecture of a system represents the design decisions related to overall system structure and behavior. Architecture helps stakeholders understand and analyze how the system will ...
sei.cmu

Application of Large Language Models (LLMs) in Software Engineering: Overblown Hype or ...

Ozkaya, I., Carleton, A., Robert, J., and Schmidt, D., 2023: Application of Large Language Models (LLMs) in Software Engineering: Overblown Hype or Disruptive Change ...