Federal agencies are transitioning from isolated AI pilots to enterprise-scale deployments embedded within mission systems, analytics platforms, cybersecurity operations, and citizen-facing services. Recent federal directives, including OMB Memorandum M-25-21 and the Federal AI Strategy and Action Plan, require agencies to accelerate adoption while demonstrating measurable governance, risk management, and accountability. This roundtable examines operational practices for securing AI at scale, including model-level governance, workload observability, and integration of AI risk management frameworks with existing cybersecurity mandates.
