Chris Kelly 400 x 400

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As artificial intelligence rapidly reshapes the cybersecurity landscape, public sector leaders face a unique paradox: leveraging AI’s power to strengthen cyber defense while mitigating the risks it introduces.



This webinar brings together top cybersecurity strategists and public sector experts to explore how agencies can deploy AI responsibly and securely. We’ll delve into critical issues such as model integrity, explainability, ethical risk management, and the resilience of AI systems under adversarial pressure – all of which depend on vigorous data curation, and robust data architectures and processes.



Attendees will gain actionable insights into developing governance frameworks, building public trust, and future-proofing AI-enhanced infrastructures against evolving threats. You’ll also learn how to ensure data lineage and policy enforcement from source to AI output—critical to making AI safe, auditable, and effective.



Whether you’re a CISO, technology leader, or policy advisor, this session will equip you with the data and security insights needed to lead confidently in the age of AI-enhanced government operations.



Join us to learn how to operationalize trust—from data replication and lineage to secure orchestration and AI governance—at every stage of your modernization journey.
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Attendees will learn about:
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<li>The trust deficit in AI and how to bridge it through transparency, accountability, and confidence in the underlying data</li>
<li>Strategies to build resilient AI systems that can withstand manipulation, misfires, and data-driven vulnerabilities</li>
<li>How robust data integration and replication strategies support trusted, real-time AI decisions—especially in complex, hybrid environments</li>
<li>The ideal blueprint for embedding policy-driven workflows, data observability, and system health monitoring into your AI stack from day one</li>
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