Reliable by Design: Building Continuous Resilience into Federal Systems

Federal policy now requires agencies to deploy AI systems that are not only effective, but accountable, observable, and resilient. Following the AI Executive Order and subsequent OMB implementation guidance, agencies must inventory use cases, document risk, and maintain meaningful human oversight in systems increasingly making operational decisions. At the same time, efficiency initiatives are accelerating automation across public services, shifting resilience from a cybersecurity recovery function into a continuous operational discipline. Agencies are expected to anticipate failure before it occurs through dependency mapping, rigorous testing, and ongoing validation of automated behavior, especially as digital twins, predictive analytics, and agentic workflows begin supporting mission execution and citizen services under fiscal pressure.

In this webcast, federal public sector leaders will examine organizations that are translating policy mandates into operational practice. Leaders will discuss continuously testing systems rather than reacting to outages, monitoring automated actions before they scale, and maintaining continuity of operations when interconnected services behave unpredictably. The panel will also explore how agencies make AI-driven decisions explainable, document accountability for automated workflows, and integrate governance, data management, and resilience exercises into agency operations.