DERIV
GraphRisk: AI-Powered Partner & Affiliate Fraud Detection (Real-time + Explainable) Partner and affiliate fraud is fundamentally different from typical client fraud. It’s not about stolen cards or fake IDs—it’s about exploiting business relationships, attribution chains, and commission structures. Fraudulent partners often understand platform rules, distribute suspicious activity across many referred accounts, and stay just under detection thresholds. The result is delayed detection, high investigation burden, and months of commission leakage before patterns become undeniable. GraphGuard addresses this by treating partner fraud as a relational, network-based problem rather than a set of isolated transactions. The system builds a dynamic partner–sub-affiliate–client graph and continuously analyzes patterns across accounts, affiliates, and time windows to surface coordinated behavior that manual reviews cannot scale to find.
Category tags:"Strong opening with good framing of the problem and stats to back it up. Original idea that solves a real issue and has potential to have high-value monetary impact. The video didn't quite line up with the voice over and the demo was a bit hard to follow - it seemed like the page was zoomed in. The voice over degraded as the presentation went on and it seemed it was just 'reading allowed'. Overall, good idea with a good solution. With some work on the pitch and demo, it could be a great product!"
James Lloyd
Head of Digital Strategy