Guardrails for AI in the Public Sector: Secure Monitoring and Observability at Scale
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Event overview
Government agencies are under pressure to embrace AI and LLM-powered applications to deliver smarter, faster, and more citizen-centric services. But adoption brings new risks: how do you trial and scale these tools without exposing sensitive data, disrupting operations, or undermining trust?
In this webinar, we will unpack real-world government and industry use cases, showing how agencies can put the right guardrails in place to:
- Monitor AI and LLM applications in real time
- Strengthen security and compliance across evolving regulations
- Ensure observability for mission-critical systems at scale
- Confidently experiment with innovation while protecting citizen trust
Walk away with practical strategies to balance responsible governance and innovation, ensuring your agency can harness AI safely, transparently, and at scale.
Why Attend?
Balance innovation with accountability
Learn how to trial and deploy AI and LLMs responsibly while meeting compliance and public trust obligations.
Protect what matters most
Discover practical guardrails for monitoring, observability, and security that safeguard sensitive data and mission-critical services.
Learn from real-world use cases
Hear how government and industry peers are already putting AI into action, and take away strategies you can apply in your own agency.
Meet your facilitators
Nikunj Mandlas
Chief Information Officer, Department for Child Protection SA
Steve Nerlich (PhD)
Director, International Research and Analysis Unit, Australian Government Department of Education
Matthew Moore
Principal Observability Strategist APJ, Datadog