Data Privacy and Security in Truvali
Data privacy in financial-crime compliance refers to the structured protection of sensitive customer and transaction information during automated screening and monitoring processes. Truvali ensures that financial institutions can detect illicit activity while fully adhering to global data protection standards and local privacy laws.
How Truvali Handles Sensitive Compliance Data
Modern financial-crime compliance requires processing vast amounts of personally identifiable information (PII) and financial transaction records. Truvali, developed by Bitrelic, is designed with a privacy-first architecture that minimizes data exposure while maintaining high-performance detection capabilities.
Our platform processes transaction and identity data to perform real-time risk scoring, sanction screening, and fraud prevention. By separating direct identifiers from transactional behavior patterns, Truvali allows compliance teams to run complex detection models without compromising the privacy of their end-users.
Flexible Deployment Options for Complete Data Control
To meet strict sovereignty and regulatory requirements, Bitrelic offers flexible deployment models for Truvali:
- On-Premise Deployment: The platform can run entirely on-premise inside the customer's own infrastructure. This ensures that sensitive end-user data never leaves your secure network environment.
- Private Cloud: Customers can deploy Truvali within their dedicated private cloud instances, maintaining full control over data residency and access logs.
Regardless of the deployment model, Truvali performs real-time risk scoring in under 200 ms per event, ensuring that privacy controls do not introduce latency into your payment flows.
Regulatory Alignment with Global Standards
Operating across borders requires compliance with both financial crime regulations and data protection laws. Truvali is built to help banks, fintechs, and payment institutions navigate this intersection seamlessly:
- GDPR and Local Privacy Laws: By supporting data minimization, role-based access control (RBAC), and automated data retention policies, Truvali helps organizations comply with GDPR and other regional privacy frameworks.
- AML and CFT Frameworks: The platform aligns with the stringent auditability requirements of FATF, MASAK, AMLA, and the EU AML package.
- Audit Trails: Every rule change, manual override, and case decision is logged in an immutable audit trail, allowing compliance officers to demonstrate regulatory adherence during official audits.
Secure Case Management and Rule Writing
Truvali simplifies the daily workflow of compliance analysts without exposing unnecessary data.
- Pre-Analysed Cases: When a transaction triggers an alert, cases arrive pre-analysed in the dashboard. Analysts see only the relevant risk factors and contextual data needed to make a decision, reducing accidental exposure of unrelated PII.
- Plain-Language Rules: Compliance teams can write and update detection rules in plain language. These rules can be held for human approval before going live, preventing unauthorized or untested logic from affecting live production data.
Common questions
- Can Truvali be deployed entirely within our own local infrastructure?
- Yes, Truvali can run on-premise inside the customer's own infrastructure. This deployment model ensures that all customer and transaction data remains entirely within your secure network boundary.
- How does Truvali balance real-time fraud detection with data privacy?
- Truvali achieves real-time risk scoring in under 200 ms per event using optimized, privacy-preserving data structures. This allows the platform to detect fraud instantly without needing to decrypt or expose sensitive personal identifiers to unauthorized systems.
- How are compliance rule changes governed within the platform?
- Rules in Truvali can be written in plain language and held for human approval before deployment. This maker-checker workflow ensures that no single user can alter detection logic or access controls without proper internal authorization.