A Risk Management Perspective for AI Engineering
• SEI Report
Publisher
Software Engineering Institute
Abstract
OCTAVE FORTE is a process model that organizations can use to identify and mitigate risks. Its steps include establishing risk governance, appetite, and policy; identifying risks, threats, and vulnerabilities; and forming and implementing an improvement plan.
This paper focuses on a few of these steps in the context of adopting AI technology. These steps provide a starting point for organizations investigating the adoption of AI and exploring the associated risks.
Cite This SEI Report
Tucker, B. (2020, June 10). A Risk Management Perspective for AI Engineering. Retrieved October 3, 2026, from https://www.sei.cmu.edu/library/a-risk-management-perspective-for-ai-engineering/.
@techreport{tucker_2020,
author={Tucker, Brett},
title={A Risk Management Perspective for AI Engineering},
month={Jun},
year={2020},
institution={Software Engineering Institute, Carnegie Mellon University},
url={https://www.sei.cmu.edu/library/a-risk-management-perspective-for-ai-engineering/},
note={Accessed: 2026-Oct-3}
}
Tucker, Brett. "A Risk Management Perspective for AI Engineering." Software Engineering Institute, Carnegie Mellon University. Software Engineering Institute, June 10, 2020. https://www.sei.cmu.edu/library/a-risk-management-perspective-for-ai-engineering/.
B. Tucker, "A Risk Management Perspective for AI Engineering," Software Engineering Institute, Carnegie Mellon University. Software Engineering Institute, 10-Jun-2020 [Online]. Available: https://www.sei.cmu.edu/library/a-risk-management-perspective-for-ai-engineering/. [Accessed: 3-Oct-2026].
Tucker, Brett. "A Risk Management Perspective for AI Engineering." Software Engineering Institute, Carnegie Mellon University, Software Engineering Institute, 10 Jun. 2020. https://www.sei.cmu.edu/library/a-risk-management-perspective-for-ai-engineering/. Accessed 3 Oct. 2026.
Tucker, Brett. A Risk Management Perspective for AI Engineering. Software Engineering Institute. 2020. https://www.sei.cmu.edu/library/a-risk-management-perspective-for-ai-engineering/