Enabling Public Sector AI at Scale

Public sector AI often fails to scale not because models are weak, but because security and network architectures cannot support continuous, autonomous, cross agency operation. This webinar explains why zero trust with continuous verification, inline inspection, and policy enforcement is the key enabler for mission grade AI in sensitive government workflows, helping agencies expand automation without sacrificing compliance, auditability, or resilience.

What you will learn by watching this webinar:

• Why public sector AI adoption is primarily constrained by security and infrastructure, not model capability or compute.
• How to identify the specific risks introduced by agentic and continuously operating AI in government systems, including data leakage, API abuse, unauthorized access, and cross agency lateral movement.
• How zero trust principles enable scalable AI through continuous authentication, authorization, and inspection across users, services, APIs, and nonhuman identities.
• How to assess the infrastructure requirements to balance security with performance, including encrypted east west traffic inspection, availability, latency management, and auditability for compliance.