The Software Engineering Institute (SEI) today released its annual review of noteworthy research and development projects from the previous fiscal year. The 2025 SEI Year in Review highlights some of ...
We conduct cutting-edge research and development that accelerates the transition of technology to the DoW, delivering measurable impact in support of the national security mission.
In this webcast, Justin Novak and Christopher Ian Rodman discuss how AI can be leveraged to build out and enable your security operations center (SOC) by covering gaps in tools, workforce, and ...
Management of IT secrets, such as passwords and application programming interface (API) keys, has become an area of increased importance as the number of systems that use such secrets has grown in ...
Longstaff, T., 2019: What Engineers Need to Know About Artificial Intelligence. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
This newsletter compiles the latest SEI releases and news about new guidance on creating Capability Needs Statements (CNS) for programs on the Software Acquisition Pathway, the feasibility and ...
Since our foundation in 1984, we have helped the Department of War (DoW), government agencies, and private industry meet mission goals and gain strategic advantage by innovating and advancing the ...
The Software Engineering Institute is a leader in researching complex solutions, connecting AI, cyber, and software strategies for maximum impact. Since 1984, the SEI has been one of only 10 Federally ...
In this webcast, Brigid O’Hearn, Christina Rhylander, and Julie Cohen provide you with the practical insight you need to develop a Capability Needs Statement (CNS) that will be effective for your ...
Sible, J., and Svoboda, D., 2022: Rust Software Security: A Current State Assessment. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
Scanlon, T., 2018: 10 Types of Application Security Testing Tools: When and How to Use Them. Carnegie Mellon University, Software Engineering Institute's Insights ...
McGregor, J., and Cohen, S., 2022: Modeling Languages for Model-Based Systems Engineering (MBSE). Carnegie Mellon University, Software Engineering Institute's ...
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