The study explores the risks and tradeoffs when adapting enterprise-IT security and zero trust principles to weapon systems.

At the November event, co-organized by the SEI, artificial intelligence experts will present case studies and research and development in building AI systems for safety-critical applications.

MOBSTA is a robustness testing tool for ROS that tests autonomous systems under realistic but rare conditions that are not represented in training data and difficult to replicate during field testing.

CERT Insider Threat Center, T., 2013: Analyzing Insider Threat Data in the MERIT Database. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...

In this webcast, Brett Tucker, Dan Justice, and Matthew Butkovic discuss the challenges to be expected with the realization of quantum computing capabilities.

The October 23 virtual workshop will feature presentations on dataset generation, exploration, preparation, and testing for ensuring data quality when training AI systems.

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

Spring, J., 2022: Probably Don’t Rely on EPSS Yet. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed October 14, 2025, https ...

NOTE: CERT/CC advisories have become part of the US-CERT National Cyber Awareness System.

Faatz, D., 2018: Best Practices for Cloud Security. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed October 22, 2025, https ...

This report describes the newly revised QAW (Quality Attribute Workshop) and describes potential uses of the refined scenarios generated during it. The Quality Attribute Workshop (QAW) is a ...

This paper presents version 2.0 of a testable Stakeholder-Specific Vulnerability Categorization (SSVC) that takes the form of decision trees and that avoids some problems with the Common Vulnerability ...