Compliance and Security by Design
The platform is built on the principle that transparency and compliance are not external requirements โ they are core components of the systemโs architecture. From data encryption to regulatory verification, every process is designed to align with global standards of financial integrity and information security.
Security is engineered. Compliance is embedded.
Secure Data Architecture
All operations are conducted in a read-only mode to prevent any unauthorized changes, fund movements, or account access. The platform serves exclusively as an analytical layer, ensuring usersโ and institutionsโ financial data remain protected at every stage.
Key mechanisms:
โข End-to-end encryption (TLS 1.3 / AES-256)
โข Zero data persistence for sensitive credentials
โข Multi-region storage under data-localization laws
โข Continuous vulnerability assessment and penetration testing
โข Independent third-party security audits
Regulatory Alignment
The compliance layer integrates international regulatory standards to ensure every data interaction, risk analysis, or automated response remains within the boundaries of financial law.
Designed to align with:
โข GDPR โ General Data Protection Regulation (EU)
โข AMLD6 โ Anti-Money Laundering Directive (EU)
โข FATF โ Financial Action Task Force recommendations
โข ISO 27001 / SOC 2 โ Information Security and Data Management
โข PCI DSS โ Payment Card Industry Data Security Standard
โข Open Banking PSD2 โ Secure API connectivity and user consent model
Every compliance operation is logged, auditable, and traceable for both internal review and regulator access.
Identity Verification and Authorization
To maintain data integrity and prevent misuse, user access to the AI system is granted only
after completing a mandatory compliance onboarding.
Tokenized API access granted under regulator supervision, verifies user identity, purpose of use, and
awareness of data-handling obligations.
Access procedure:
1
Identity and source verification (KYC)
2
Acceptance of compliance terms
3
Completion of automated onboarding
4
Tokenized API access granted under regulator supervision
Each user operates within a verified and traceable framework, ensuring lawful access to AI-driven financial intelligence.
Auditability and Accountability
Every system action โ from API request to AI decision โ is recorded in an immutable audit log. This provides regulators, compliance officers, and auditors with full visibility over data flow and decision-making processes.
Capabilities:
โข Immutable timestamped event logs
โข Accessed only by authorized regulators or internal compliance units
โข Support for standard audit export formats (CSV, XML, XBRL)
โข Automated generation of compliance reports
Nothing happens without a record.
Real-Time Threat and Risk Management
The platform continuously monitors its environment for security anomalies and abnormal access patterns. When potential risks are detected, automated alerts are issued to the internal compliance node, and appropriate actions are taken immediately to isolate or neutralize the threat.
Process:
โข Continuous behavioral monitoring of API traffic
โข Multi-level anomaly scoring for security events
โข Real-time alerting and mitigation protocol
โข Forensic reporting to compliance and regulatory units
Collaborative Security Model
The system is developed under a shared-responsibility model, where platform security, institutional compliance, and regulatory supervision coexist in a unified operational framework.
Partnership ecosystem:
โข Financial institutions (banks, acquirers, payment processors)
โข Crypto exchanges and custodians
โข Regulatory bodies and financial intelligence units (FIUs)
โข Independent audit and data-certification partners
Transparency is achieved not in isolation, but through collaboration.
Verification and Certification
The platform is designed in line with globally recognized security and privacy standards and may undergo independent security assessments as it evolves.
The platform is designed in line with globally recognized security and privacy standards, including:
โข ISO/IEC 27001 โ Information Security Management
โข SOC 2 Type II โ Data integrity and operational resilience
โข PCI DSS โ Financial data handling
โข Designed to support GDPR requirements, with reviews conducted by EU-based privacy professionals
Security standards are not claims โ they are verifications.
Building Trust Through Transparency
By embedding regulatory compliance and security architecture into every level of its infrastructure, the system establishes a foundation for responsible, explainable, and auditable AI in financial ecosystems.