How Tradeify Identified Coordinated Fraud Rings and Reclaimed Team Productivity with SEON

About Tradeify

Tradeify is a futures proprietary trading firm that provides traders with funded accounts, daily payouts and a path to trading live capital. With over $150 million in verified payouts and a rapidly growing user base, Tradeify has established itself as one of the leading prop firms in the futures space. As the platform scaled, it became an increasingly attractive target for coordinated fraud – from multi-account creation to card testing and bot-driven abuse – requiring a more sophisticated and scalable approach to fraud prevention.

Challenge

Tradeify faced a growing volume of fraud that was becoming more coordinated and harder to detect with manual processes. The core threats included multi-account creation, card testing and more recently, botting activity. These weren’t isolated incidents; they were coordinated patterns that required increasingly deliberate responses.

The team’s initial approach was reactive: gather confirmed fraudulent accounts first, then build rules around the patterns identified, expanding outward from there. While effective to a point, this method was time-intensive and limited in scope. As fraud volumes scaled alongside legitimate platform growth, the team couldn’t keep pace; they consumed valuable resources that could have been better directed toward building the product and serving genuine traders.

“The top fraud issues we faced were multi-account creation, card testing and more recently, botting activity. These weren’t isolated incidents; they were patterns that grew more sophisticated over time.”

Brett Simberkoff, CEO, Tradeify

Solution

Tradeify was introduced to SEON through a user recommendation, and the difference was clear immediately from the onboarding experience. Tradeify’s dedicated SEON fraud consultant had direct experience dealing with the same fraud types at other companies, which made the platform easy to navigate and accelerated time to value.

SEON was deployed across Tradeify’s fraud operations, giving the team the ability to move from reactive, manual rule-building to proactive, signal-driven detection.

Key reasons for selecting SEON included:

• Digital footprint analysis: SEON’s full digital footprint capabilities pull together the signals that matter (such as email, phone, IP, device and behavioral data) and make sense of them in a way that manual review couldn’t scale.
• Centralized chargeback management: A standout capability that gives Tradeify the ability to handle chargeback disputes directly in one place rather than managing them across disconnected workflows.
• Experienced onboarding support: SEON’s dedicated fraud consultant brought relevant fraud experience from similar companies, making the platform easy to navigate from day one.
• Precision without friction: The platform enables Tradeify to target fraudulent users with a high degree of certainty without meaningfully impacting legitimate users.

Results

Since implementing SEON, Tradeify has moved from reactive, manual fraud management to proactive, intelligence-driven detection, with measurable impact across operations and team productivity.

• Coordinated fraud rings identified: SEON enabled Tradeify to detect and disrupt coordinated multi-account operations that would have gone undetected through manual processes.
• Precision targeting with minimal false positives: The team can now act on fraudulent users with high confidence, without introducing friction for legitimate traders. Clean friction matters, and getting that balance right has made a noticeable difference in how the platform operates day to day.
• Significant time savings: The most tangible metric is time saved, which ultimately translates to money. Having support with fraud monitoring has been a major productivity boost, freeing the team to focus on building rather than chasing down bad actors.
• Chargeback management streamlined: Dispute handling is now consolidated into a single workflow, eliminating the need to manage chargebacks across disconnected systems.

“The biggest win overall has been the precision. SEON lets us target fraudulent users with a high degree of certainty without meaningfully impacting legitimate users; this is something that’s harder to achieve than it sounds.”

Brett Simberkoff, CEO, Tradeify

Conclusion

As Tradeify continues to scale, the sophistication of fraud targeting its platform will only increase. With SEON, the team has moved from time-intensive, reactive rule-building to a proactive, signal-driven approach that catches coordinated abuse early, without compromising the experience for the traders who make the platform what it is.

The result is a fraud operation that runs leaner, acts faster and gives the team the confidence to focus on growth rather than defense.

“The most tangible metric time saved, which ultimately translates to money. Having support with fraud monitoring has been a major productivity boost for our team, freeing us up to focus on building rather than chasing down bad actors.”

Brett Simberkoff, CEO, Tradeify