QuantSentry is not a prop firm. It is a network-based AI risk engine built for prop trading firms that want to detect coordinated fraud before payout. The platform focuses on patterns that account-level tools can miss, including HFT abuse, martingale rings, copy-trading fraud, hedge groups, and related cross-account behaviour.
The platform is built around network-level detection rather than isolated account review. It maps shared IPs, device fingerprints, payout links, and correlated P&L across trader accounts, then surfaces suspicious relationships through alert scoring, evidence kits, and dashboard workflows designed for risk teams.
As of June 2026
QuantSentry will be at Prop Firm Expo London as a Bronze Sponsor. That makes the booth relevant because fraud and abuse prevention sit in a different part of the prop ecosystem than funded accounts, but they affect the business just as directly. For operators, the useful conversation is not about challenge pricing or payout splits. It is about how suspicious behaviour is detected, how quickly cases are surfaced, and how much manual review work can be reduced without weakening control.
What makes QuantSentry worth a closer look is that it is built around one specific problem rather than a broad compliance pitch. The platform is designed to catch coordinated behaviour across accounts, not just suspicious activity inside a single account. That changes the angle of analysis completely. Instead of looking at one trader in isolation, it builds a live graph across trade pairs, devices, payout relationships, and correlated behaviour.
The product structure is also practical. QuantSentry combines network-level detection, prioritised alert queues, evidence kits, geo risk scoring, and reporting and analytics in one workflow. The dashboard is built for risk teams that need to review cases quickly, rank exposure, and export evidence when something needs to be escalated.
There is a useful operational angle as well. One case study describes a shift from hours of manual analysis to real-time detection, with review time cut from hours to minutes per case. That matters because many firms do not just need better fraud logic. They need a way to scale risk operations without scaling the team at the same pace.
The QuantSentry booth is most useful when you are thinking about risk operations and enforcement, not just account rules. Expect the strongest conversations to revolve around:
This should also be a useful booth for firms that are already seeing growth pressure. Once account volume rises, the issue is often no longer whether abuse exists. It is whether the team can identify it fast enough, document it properly, and act on it consistently. QuantSentry is built around that problem.