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Secure External Kafka Data Sharing for Financial Services

Share Kafka data securely across partners, regulators, and clouds without losing control. Conduktor enforces masking, encryption, and auditability at every boundary — enabling compliant, trackable data exchange across DMZ zones, SaaS platforms, and business units.

See It in Action


The Problem

Financial institutions face growing pressure to exchange operational and regulated data across subsidiaries, partners, and external entities — from auditors and credit bureaus to real-time SaaS analytics tools.

Each exchange introduces risk: data duplication, inconsistent masking, unclear lineage, and loss of control. Traditional replication or file-based exports add complexity, cost, and compliance exposure.

Teams must share Kafka data securely while ensuring:

Many organizations still rely on ad-hoc connectors or custom scripts, with no centralized policy or traceable lineage. The result is slow onboarding, regulatory exposure, and lost opportunities for monetization and internal chargeback.


The Challenge


The Solution

Conduktor provides a unified, auditable, and monetizable Kafka sharing layer that enforces policy, encryption, and lineage at every boundary.

It acts as a secure ingress and egress gateway between internal clusters and external consumers, providing:

This architecture meets PCI DSS, GLBA, and DORA standards, eliminating fragile data copies and ensuring every shared event remains compliant, encrypted, and observable.

With Conduktor, organizations can:


Key Use Cases

Safely expose Kafka data externallyWith field-level masking, BYOK encryption, and immutable audit trails.
Onboard partners and regulatorsIn days instead of months.
Consistent schema validationApply encryption and masking across all sharing flows.
FinOps chargeback and cost transparencyPer business unit or partner.
Compliance evidenceFor PCI DSS, GLBA, DORA, FCA, OCC, and FDIC.
Stronger governance postureThrough centralized policy, zero-trust architecture, and regulator-grade lineage visibility.
Secure external integrationsWithout compromising Kafka control, sovereignty, or data privacy.