The AI Adoption Maturity Model v1.0
Developed by the SEI in collaboration with Accenture, the AI Adoption Maturity Model enables organizations to create an assessment-based roadmap for successful AI adoption.
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Developed by the SEI in collaboration with Accenture, the AI Adoption Maturity Model enables organizations to create an assessment-based roadmap for successful AI adoption.
This report examines failures that unused code can cause, including discussions of real examples using C/C++, and discussions of other languages as well.
This report provides a comprehensive overview of how to integrate cyber threat intelligence into cybersecurity mission rehearsals, focusing on planning, assessment, and evaluation.
This report provides guidance to help organizations' evaluation solutions to manage secrets when using Kubernetes on Microsoft Azure.
This report presents Agile Architecture Risk Management and Continuous Risk Management to identify S/W development risks before production and project failure.
The Error Model Annex, Version 2 (EMV2), notation for architecture fault modeling supports safety, reliability, and security analyses as part of the OSATE toolset.
SEI researchers, in partnership with Accenture, studied how organizations can mature AI practices to bring clarity, structure, and consistency to AI adoption. This post outlines …
Measures need to detect and respond to drift in ML systems before real-world harms are enacted. This post describes what causes drift and how to …
By weighing the tradeoffs between design pattern attributes and quality attributes, software developers can identify architectural risks early and assess the system impacts of design …
To help teams meet the need for rigorous evaluation methods, researchers in SEI’s AI Division developed a library built on best practices for LLM evaluation …
The SEI builds relationships with software vendors and other organizations to coordinate prompt responses to possible risks or threats that arise from software vulnerabilities. Over the years, we have built an extensive vendor network, and we work as a trusted broker to identify, disclose, and mitigate vulnerabilities. As part of this effort, we publish vulnerability notes to keep the community informed and to enable effective and swift mitigation.