Operational Risk Management Using NIST AI RMF
Explore how to maintain operational risk management for AI systems in DoD and federal settings using NIST AI RMF. Understand the four key functions—Govern, Map, Measure, and Manage—and how to apply them as a continuous loop. Learn to assign ownership, update risk contexts, link tests to real operational risks, and keep controls aligned with changing mission needs to ensure safe, accountable AI integration.
A test plan can be solid and still leave a system unsafe to use. The miss is not the math. The miss is what happens after the test report lands in a folder. Many teams keep a risk register, but they treat it like paperwork that proves they thought about risk once. That habit comes from a familiar approval mindset, where the hard part feels like getting to yes and shipping. In real operations, the hard part is keeping the use inside its intended boundaries while the mission, data, users, and threats change. A risk register that nobody updates is not risk management. It is a record of a moment that has already passed.
A common example in DoD and federal work is a decision support tool that looks reliable in a pilot. The team tests accuracy, runs edge cases, and writes down known failure modes. Then the system moves to a new unit, gets new data feeds, and gets used by people with different time pressure. ...