Financial crime doesn't operate in silos, yet most fraud detection tools do. Today's landscape is filled with point solutions: KYC platforms that stop at onboarding, AML engines focused on transaction monitoring, and network graph tools that excel technically. Fraud signals are everywhere, but data remains fragmented. AI Fraud Surveillance unifies financial, qualitative, and network signals into a single view, enabling fraud detection before it happens, not after.

In a world of synthetic everything, proof is becoming the scarcest commodity in finance. As AI-generated identities, deepfakes, and convincing digital deception become routine, institutions can no longer assume authenticity; they have to verify it. This session frames the problem and then works through the answer.

It opens with the shift underneath the shift: once trust can no longer be assumed, the burden moves from catching fakes after the fact to proving authenticity before a transaction happens at all. That reframes what needs to be provable rather than assumed, and who is positioned to build the systems that prove it. The discussion then gets specific about the different bets being placed on how to solve this: catching synthetic fraud at the point of verification, proving identity cryptographically without exposing the underlying data at all, and building the credential infrastructure that ties it together.

Attendees hear where each approach actually holds up against a motivated forger, and where the gaps between them still leave room for one to slip through.

AI agents are already executing workflows and making decisions at machine speed across financial systems and digital markets. Supervisors are being asked to oversee them with tools built for a slower world.

The Cambridge Digital Innovation and Regulation Initiative (C:\>DIR), hosted by Financial Innovation for Impact launched the Global 'Agentic Regulator' Hackathon in September this year.

The hackathon brought together multidisciplinary teams from the public and private sectors to work on that gap, building explainable, deployable prototypes across six priority areas:
- Agentic Financial and High Stakes AI Advice (supported by Moneybox)
- Agentic Payments, Commerce & their Oversight (supported by Ant International)
- Decentralised Market Infrastructure, Smart Contracts & AI Agents (supported by the Ethereum Foundation)
- AI-Driven Fraud and Scams
- Know Your Agent (KY-A), Digital Verification and Digital Public Infrastructure
- Market Manipulation, Agentic Herding & Stability

The winning teams now bring their work to the Catalyst Stage at the Singapore FinTech Festival. Come and see what the future of supervision could look like.