Security and Privacy

Security and Privacy

How QuantSentry protects your data, minimises exposure, and supports defensible risk operations.

Privacy first by design

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.

What QuantSentry processes

QuantSentry primarily processes trade execution and platform activity data to detect behavioural similarity and coordinated patterns. Typical inputs include:

  • Trade execution data (instrument, time, size, entry and exit, profit and loss)
  • Account and program context (challenge, verification, funded stage)
  • Platform context where available (server, account group, execution metadata)
  • Optional identity fields for investigation workflow (name, email), if you choose to provide them

You can run QuantSentry without identity fields. Many firms start with obfuscated or non personal datasets during evaluation.

Read only access and operational safety

QuantSentry connects to supported trading platforms through read only manager Application Programming Interface (API) access. QuantSentry does not place trades, modify accounts, or change platform settings.

During trials you can restrict scope to specific servers or groups to minimise exposure and validate value safely.

Internal only mode and data minimisation

QuantSentry works in internal only mode by default. This means detection and alerts are generated solely from your firm's data, within the scope you provide.

Data minimisation options include:

  • Excluding names and emails
  • Obfuscating personal fields during evaluation
  • Limiting ingestion to specific servers, groups, or program
  • Configuring alert thresholds by account stage

Fraud Intelligence Network — optional and consent based

QuantSentry offers an optional Fraud Intelligence Network 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.

Typically shared

  • Anonymised fingerprints derived from identifiers
  • Behavioural similarity signals and match indicators
  • Risk scores and non identifying metadata needed to support the signal

Not shared

  • Raw names and emails
  • Full personal identity records
  • Disclosure of which participating firm generated a match

Security controls and auditability

QuantSentry is designed for defensible investigations and consistent enforcement. Key controls include:

  • Full audit trails on alerts, evidence, and actions
  • Exportable evidence kits for disputes and internal reviews
  • Configurable thresholds and factor weights to align to your rulebook
  • Stage based sensitivity settings for challenge, verification, and funded accounts

Regulatory posture

Fraud prevention and security operations often rely on privacy frameworks that permit processing and limited sharing for the purpose of preventing fraud. Examples commonly referenced by legal teams include:

  • European Union General Data Protection Regulation (GDPR), where fraud prevention can be supported under legitimate interests
  • United States financial privacy frameworks such as the Gramm Leach Bliley Act (GLBA), which include allowances related to fraud prevention

QuantSentry does not provide legal advice. Your counsel should confirm the appropriate lawful basis, disclosures, and contract terms for your jurisdiction and operating model.

Your controls and governance

You control what data is provided, what scope is ingested, and whether network mode is enabled. QuantSentry is designed to support your internal policies, including retention, access controls, and investigation workflow.

For security, privacy, or compliance questions, contact your QuantSentry representative or email the security team using the contact details provided in your agreement.