Flaw Reporting for AI (FLARE-AI) allows developers and security researchers to submit artificial intelligence flaws for formal, coordinated disclosure.
Nielsen, P. (2026, June 23). Software-Defined Warfare: Crossing the Chasm in Two Software Areas. Retrieved June 24, 2026, from https://doi.org/10.58012/9wg2-8778 ...
Organizations achieve lasting AI value and return on investment (ROI) through discipline—not just speed. True AI maturity is not measured by how much AI an organization deploys, but by its ability to ...
Brown, R. (2026, June 16). Implementing Zero Trust in Operational Technology: A Practical Case Study. Retrieved July 1, 2026, from https://doi.org/10.58012/6eyx-5204 ...
PITTSBURGH, Pa., June 8, 2026—The Carnegie Mellon University Software Engineering Institute (SEI) and Accenture today released the Artificial Intelligence (AI) Adoption Maturity Model, an empirically ...
Svoboda, D., 2026: The SEI CERT Coding Standard for Fortran. Software Engineering Institute blog, Accessed July 1, 2026, https://doi.org/10.58012/w9t7-6y96. This blog ...
Experts from the CMU SEI and Accenture share technical insights and lessons learned from maturing AI adoption in complex environments. Many organizations are discovering, as they accelerate adoption ...
Many organizations are discovering, as they accelerate adoption of artificial intelligence (AI), that business and operational success with AI depends on far more than deploying AI models or ...
This paper describes an analysis construct that characterizes how well a weapon (or cyber-physical) system product has progressed in achieving the attributes of a Modular Open Systems Approach (MOSA).
Fast-evolving advances in artificial intelligence (AI)—particularly in generative AI technologies and agentic AI implementations—have challenged organizations to rethink how they conduct business. To ...
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Thank you for engaging with the SEI and providing feedback on the AI Adoption Maturity Model. Using the form below, select the closest topic to the feedback being provided and enter the feedback. All ...
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