As government agencies accelerate AI and cloud adoption to modernize services and improve citizen outcomes, they face a converging set of challenges: securing sensitive data across multi-cloud environments, meeting strict regulatory requirements and building a workforce that can use new tools consistently and effectively.

This session brings together industry experts to explore how public sector organizations can navigate all of these demands at once. On the security and compliance side, speakers will address practical strategies for implementing zero-trust architectures, managing cloud misconfigurations and ensuring AI systems meet federal standards including FedRAMP, FISMA and emerging AI governance frameworks. On the adoption and ROI side, the conversation will cover how agencies can drive genuine workforce uptake, reduce shadow AI and translate adoption metrics into measurable outcomes that satisfy leadership and budget oversight.

Agencies that get this right — building security and adoption capability together rather than in separate workstreams — are better positioned to deliver on the promise of AI-powered public services while protecting the citizen data and institutional trust those services depend on.

Attendees will leave with practical frameworks for scaling AI responsibly, maintaining compliance across a complex regulatory landscape and making a defensible case for the investments already underway.