Real feedback.
Real findings.
How prop firms use QuantSentry to find trading abuse, reduce manual reviews and protect payouts. Customer identities are hidden at their request.
One hundred confirmed cases.
Each supported by evidence.
Each case reviewed; false positives removed
Profit above initial on their funded accounts
Released by banning their KYC identities
Frozen across the hundred confirmed identities
Copy ring, nine registrations
Nine identities mirroring the same entries across twenty one funded accounts, with 394 entries opened in the same second.
Impossible travel
One funded identity reached from seven countries over VPN and datacenter IPs, with logins from two of them three minutes apart.
One device, two identities
Two separate KYC registrations logging in from the same device fingerprint, eight hundred logins between them.
Every dollar above an account's initial balance is a real loss. A drawdown on one account never offsets a profit on another. Enforcement decisions rest with the firm.
Your platform saw 61 traders.
There was only ever one.
What changed
for the teams running it.
What took hours is identified quickly
The biggest thing it has saved us is time
The PDF evidence kit is the standout feature
Three firms.
Three different bottlenecks.
From hours of manual analysis to real time detection
Manual pattern hunting across thousands of funded accounts became a prioritised detection queue, surfacing coordinated abuse before it reached the approval stage. Work that took hours of manual analysis now arrives in the queue ready to review.
No more building fraud detection from scratch
One system replaced several internal tools, freeing engineers to focus on the core product. Evidence Kits gave the team a clear file for every flagged account.
Scaling risk operations without scaling the team
Clear findings helped more team members review payout decisions while the number of funded accounts grew.