Protecting Public Funds at the Point of Entry with Upstream Decisioning | hosted by SAS

As digital interactions accelerate and fraudsters adopt automation at scale, organisations face unprecedented pressure to evaluate risk instantly and accurately. This presentation explores how real‑time fraud risking, intelligent decisioning frameworks, and emerging agentic AI capabilities are transforming modern fraud operations.

The session examines the shift from periodic, rule‑centric models to continuous, millisecond‑level risk assessment that synthesises behavioural, transactional, and contextual signals the moment they occur. It highlights how intelligent decisioning unifies machine learning, rules, and contextual logic into a consistent, explainable framework that balances fraud prevention with customer experience.

Building on this foundation, the talk introduces agentic AI - autonomous, tool‑using systems capable of triage, investigation support, alert enrichment, and ongoing optimisation. These AI agents act as operational force multipliers, reducing manual workload while enhancing accuracy and adaptability.

Attendees will gain a clear understanding of the future fraud‑technology stack and how real‑time analytics, decisioning intelligence, and agentic AI work together to create proactive, resilient, and scalable fraud‑prevention ecosystems.

Please note: Spaces in all sessions will be allocated on a first come, first served basis. If you would like to attend, please ensure you arrive early to avoid disappointment.