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.
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:
- Auditability
- Encryption
- Masking
- Policy consistency
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
- Partner onboarding delayed — by firewall rules, certificates, and network reviews
- Multiple identity models — (OIDC, tokens, BasicAuth) across partner ecosystems
- Lack of FinOps or chargeback visibility — to allocate streaming costs per BU or partner
- No immutable audit evidence — linking Kafka topics to regulator or SaaS endpoints
- High internal segmentation — by geography and environment complicates unified governance
- No single control point — to enforce schema validation, ACLs, and encryption for outbound Kafka data
- Fragmented compliance controls — for BYOK encryption (Voltage, Fortanix, KMS)
- Inconsistent masking and schema enforcement — across DMZ, app, and data zones
- Topology and naming leaks — during cross-zone data exposure
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:
- mTLS, ACLs, and schema validation
- Field-level masking and throttling
- BYOK encryption (Voltage, Fortanix, or KMS)
- OIDC, token, or API-key–based isolation
- Immutable audit logs and lineage tracking
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:
- Share Kafka data — live between clusters, partners, or regulators
- Encrypt and mask data — dynamically before exposure
- Federate Kafka — across DMZ or regional clusters under one policy
- Govern, audit, and monetize usage — with full lineage
Key Use Cases
- Regulatory and Reporting Flows — Deliver near-real-time reports to financial authorities with end-to-end lineage, masking, and immutable audit evidence
- Partner Connectivity — Share Kafka topics externally via OIDC or token authentication, with schema validation and BYOK encryption
- Vendor and SaaS Integrations — Expose selected event streams to external providers under zero-trust controls
- Credit and Risk Data Exchange — Provide loan, payment, and scoring events to credit bureaus with field-level encryption and masking
- Fraud and AML Pipelines — Stream transaction data to external analytics tools while keeping PII encrypted at the field level
- B2B and Payment APIs — Offer real-time data access to partner banks or payment networks using Gateway routing and schema enforcement
- Data Marketplace Enablement — Power monetized or cross-BU data exchanges with FinOps chargeback and consumption tracking
- Inter-Entity Sharing — Govern cross-subsidiary Kafka access with masking and centralized audit policies
- Secure Regulator Feeds — Maintain lineage from Kafka topic to report submission for audit-proof compliance