Embedding Trust into AI for the Public Sector

Artificial intelligence is transforming how government agencies defend, protect, and deliver on their missions. From accelerating cyber threat detection to streamlining operations, AI offers powerful new capabilities—but only if it’s built on a foundation of trust, transparency, and resilient, secure data systems.

Public sector leaders face a balancing act: harnessing AI’s potential while ensuring the systems, data, and governance that underpin it are trustworthy and secure. Many agencies are using decades-old mission-critical applications for essential programs. The aim of AI strategies is not to replace these systems, but to integrate with them, enabling agencies to preserve proven reliability while enhancing capabilities through secure data access, replication, governance, and real-time system assurance.

Join us as thought leaders from government and industry explore how agencies are approaching AI in ways that strengthen mission readiness, maintain public confidence, and safeguard against evolving threats, including practical approaches to embedding resilience into AI—from ensuring data integrity and explainability to enforcing policies and continuously monitoring system health to detect and prevent issues before they impact operations.

Learning Objectives:

• Understand the trust deficit in AI and how transparency and data integrity can bridge it
• Learn strategies for building AI systems resilient against manipulation, errors, and data-driven vulnerabilities
• Explore how secure data integration, replication, real-time monitoring, and operation assurance support trusted AI decisions
• Develop a blueprint for embedding governance, policy enforcement, and monitoring into AI programs from day one