Guardrails for AI in the Public Sector: Secure Monitoring and Observability at Scale

Discover proven strategies to monitor, secure, and scale AI systems responsibly across the public sector.

Government agencies were under pressure to embrace AI and LLM-powered applications to deliver smarter, faster, and more citizen-centric services. But adoption brought new risks: how could they trial and scale these tools without exposing sensitive data, disrupting operations, or undermining trust?

In this webinar, we unpacked real-world government and industry use cases, showing how agencies 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

Attendees walked away with practical strategies to balance responsible governance and innovation, ensuring their agencies could harness AI safely, transparently, and at scale.

Meet your facilitators

nikunj mandlas

Nikunj Mandlas

Chief Information Officer, Department for Child Protection SA

Steve Nerlich

Steve Nerlich (PhD)

Director, International Research and Analysis Unit, Australian Government Department of Education

Matthew Moore

Matthew Moore

Principal Observability Strategist APJ, Datadog