Fintech App
Development Company

Data is encrypted in transit and at rest. We enforce access controls, least-privilege roles, key rotation, logging, and tamper-evident audit trails.

Yes. We deploy in specific regions, segment data, and set retention policies that align with local rules and client needs.

Tokenisation, vaulting, and pseudonymisation were suitable, along with restricted access via service layers and scoped credentials.

We maintain a clear runbook, notification steps, forensic guidance, and post-incident reviews to improve detection and controls.

Good practice includes explicit consent, granular scopes, revocation paths, and auditable logs linked to user actions.

Yes. We complete questionnaires, provide evidence for controls, and support joint testing with legal, security, and compliance teams.

We assess vendor scopes, review security reports, limit data sharing, and define responsibilities in contracts and runbooks.

Identity support, anomaly flags, credit signals, portfolio insights, and service routing with human review for decisions that affect users.

Define acceptable use, watch input drift, audit features, document limits, and add human checkpoints for sensitive outcomes.

Purpose statements, confidence ranges where relevant, user impact, and appeal paths. Sensitive cases always allow human escalation.

Separate training and production datasets, apply masking where appropriate, and record provenance for audits and regulatory inquiries.

We prepare documentation, test evidence, model cards, and risk registers. Formal certification depends on jurisdiction and partner rules.

Yes. Human checks are placed on credit decisions, large transfers, and fraud escalations.

We track model drift, false positives, latency, and outcomes with rollback plans and retraining workflows tied to thresholds.

Wider payment orchestration, open banking connectors, richer reconciliation reports, plus more options for cross-border flows.

Yes. Expect evidence templates, automated control checks, and clearer audit dashboards to speed up reviews.

A unified analytics layer with real-time product metrics, ledger views, and anomaly flags for shared product and operations insight.

Yes. Feature flags, pricing tables, and risk thresholds will be configurable, enabling changes to land quickly without long release cycles.

Prebuilt modules for onboarding, payments, and case management will accelerate delivery while maintaining controls.

Capability matrices, reference architectures, and outcome benchmarks will clarify evaluations.

Autoscaling policies, multi-region failover, and proactive incident playbooks are being prepared to keep services running smoothly during peak loads.