QuantSentry is built to detect coordinated abuse while minimising data exposure. Privacy by design is not a checkbox — it's a foundational architectural decision.
QuantSentry is built to help proprietary trading firms detect coordinated abuse while minimising data exposure. The platform is designed around privacy by design and purpose limitation, so you can run effective risk operations without collecting more personal data than you need.
This document explains what data QuantSentry processes, how it is secured, how the optional Fraud Intelligence Network works, and what controls you retain at every stage.
QuantSentry primarily processes trade execution and platform activity data to detect behavioural similarity and coordinated patterns. The system is designed to work with the minimum data necessary for effective detection.
Typical Inputs
Trade execution data
Instrument, time, size, entry and exit prices, profit and loss, hold duration, lot size, and ticket identifiers.
Account and program context
Challenge stage, verification status, funded phase, account group, initial balance, and program type.
Platform context
Server identifier, account group, execution metadata, and platform type (MT5, cTrader, Match Trader) where available.
Optional identity fields
Name, email address, and KYC identifiers — only if you choose to provide them. Used for investigation workflow, not for detection.
You can run QuantSentry without identity fields
Many firms start with obfuscated or non-personal datasets during evaluation. Detection is driven by behavioural signals, not personal identifiers. Identity fields are optional and only enhance the investigation workflow if you choose to include them.
QuantSentry connects to supported trading platforms through read-only manager API access. This is a foundational architectural decision, not a configurable setting.
During trials and evaluation, you can restrict scope to specific servers, groups, or programs to minimise exposure and validate value safely before expanding access.
QuantSentry operates in internal-only mode by default. This means all detection and alerts are generated solely from your firm's data, within the scope you define. No data leaves your instance unless you explicitly opt into the Fraud Intelligence Network.
Data Minimisation Controls
Exclude personal identifiers
Run detection without names or email addresses. The system works on behavioural signals, not identity.
Obfuscate during evaluation
Provide hashed or anonymised personal fields during trial periods. Replace with real data only if and when you choose.
Limit ingestion scope
Restrict to specific servers, account groups, or programs. Expand incrementally as you gain confidence.
Stage-based sensitivity
Configure different alert thresholds for challenge, verification, and funded accounts. Apply the right level of scrutiny at each stage.
Optional and consent-based
The Fraud Intelligence Network is designed to improve detection of coordinated abuse across participating firms. Network mode is opt-in. If you opt out, you remain fully segregated and do not contribute signals or receive network alerts. This is your choice, not a default.
The Fraud Intelligence Network is designed to share signals, not identities. The distinction is fundamental to how the system works.
When a network match occurs, you receive a signal indicating that a behavioural pattern has been observed elsewhere. You do not learn which firm, which trader, or any identifying details about the external match.
QuantSentry is designed for defensible investigations and consistent enforcement. Every action, alert, and configuration change is recorded and auditable.
Full audit trails
Every alert, every evidence kit generated, every configuration change, and every user action is logged with timestamps and attribution.
Exportable evidence kits
Generate and export complete evidence packages for disputes, internal reviews, and regulatory inquiries. Includes network visualizations, trade-level detail, and timeline overlays.
Configurable thresholds and weights
Set your own score thresholds, factor weights, and minimum trigger criteria per alert type. Align detection sensitivity to your rulebook and terms of service.
Stage-based settings
Apply different detection sensitivity to challenge, verification, and funded accounts. Higher scrutiny where the financial exposure is greatest.
Encryption in transit and at rest
All data is encrypted using industry-standard protocols during transmission and while stored. Credentials are not retained beyond initial setup.
Role-based access
Control which team members can view alerts, generate evidence, modify settings, or access sensitive investigation data.
Fraud prevention and security operations often rely on privacy frameworks that permit processing and limited sharing for the purpose of preventing fraud. QuantSentry is designed to support compliance with these frameworks.
Fraud prevention can be supported under the legitimate interests basis. Data minimisation, purpose limitation, and consent-based sharing are built into the platform architecture.
Financial privacy frameworks such as the Gramm-Leach-Bliley Act include allowances related to fraud prevention. The platform's read-only access model and data minimisation controls support compliance.
The platform's configurable scope, data minimisation options, and consent-based network mode are designed to accommodate a range of regulatory environments.
Important
QuantSentry does not provide legal advice. Your legal counsel should confirm the appropriate lawful basis, disclosures, and contract terms for your jurisdiction and operating model.
You control what data is provided, what scope is ingested, and whether network mode is enabled. QuantSentry is designed to support your internal policies — not to replace them.
You decide which servers, groups, and programs are ingested. You can expand or restrict scope at any time.
You choose whether to include names, emails, and KYC identifiers. Detection works without them.
Opt-in only. You can enable or disable participation in the Fraud Intelligence Network at any time.
You control retention policies. We support your internal data lifecycle and deletion requirements.
You assign roles and permissions for your team members within the platform.
You define your enforcement process. QuantSentry surfaces evidence and scores — it does not make enforcement decisions.
For security, privacy, or compliance questions — reach out directly. We respond to all enquiries within one business day.
Privacy first by design. Detection without overreach.