Data Protection Unblock Revenue. Protect Cash Flow. Prove Compliance.

Conduktor protects data at the wire level and governs access control centrally, so security is a feature, not a blocker.

Data Protection Unblock Revenue. Protect Cash Flow. Prove Compliance.

Trusted by

Deloitte
IKEA
Honda
Lufthansa
Air France
Cigna
Williams-Sonoma
ING
Capital Group
Dick's Sporting Goods
Vattenfall
Flix
Caisse des Dépôts
Consolidated Communications
Deloitte
IKEA
Honda
Lufthansa
Air France
Cigna
Williams-Sonoma
ING
Capital Group
Dick's Sporting Goods
Vattenfall
Flix
Caisse des Dépôts
Consolidated Communications

Kafka Scales. Security Doesn't Keep Up.

Data flows through Kafka in plaintext. Access controls stop at the topic level. Teams build their own encryption. And when an auditor asks who accessed what, nobody has a clear answer.

Revenue stuck on security approvals

There's no centralized way to prove data is encrypted or access is governed. InfoSec ends up manually reviewing every new application, delaying data initiatives by months.

Margins shrink from duplicated work

Each team builds its own encryption and manages its own access controls. Over time, implementations drift, fields get missed, and a single gap can escalate into an organization-wide incident.

Cash flow at risk from fines

GDPR fines reach 4% of global revenue and HIPAA violations run up to $2M per category. Meanwhile, Kafka gives you topic-level ACLs and no audit trail of who accessed what data.

Why Conduktor for data protection

Field-level encryption

Encrypt sensitive fields before data hits Kafka. One policy, every application, zero code changes. Plug in your own KMS.

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Dynamic data masking

Mask fields per consumer at the wire level. A support team sees masked credit card numbers. A fraud team sees full data.

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Application audit trail

Every application action logged: which service produced where, which consumer read what. IP, timestamp, and payload.

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Data quality detection & enforcement

Detect non-compliant data flowing through Kafka. Block or redirect messages that violate validation rules before they reach consumers.

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Tokenization

Replace sensitive values with tokens while preserving format. Run analytics on protected fields without exposing actual data.

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Cryptographic signing

Sign messages at the gateway to verify authenticity and detect tampering. Meets chain-of-custody requirements.

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Why Conduktor for access control

RBAC & SSO

SSO via OIDC and LDAP. User and group-based roles. Assign permissions at the resource level.

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Data masking

Mask PII and sensitive fields per user group in the Console UI. Different teams see different data.

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User audit trail

Every user action logged with IP, timestamp, and payload. 70+ event types across Kafka, IAM, and governance actions.

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ACL & service account management

Create and manage Kafka ACLs and service accounts directly. View, edit, and delete access rules across clusters.

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How they work together

Console governs who and what can access your resources. Gateway governs what happens to the data as it flows.

1
Control access, protect data

Console manages access for people (RBAC, SSO, masking) and applications (ACLs, service accounts). Gateway protects data in motion with encryption, tokenization, and cryptographic signing.

2
Prove it to auditors

Console's audit trail covers user and admin actions. Gateway's covers application-level activity. Together you can show who accessed what and that data is encrypted and validated.

Encryption comparison

FeatureCluster-side encryptionClient-side field levelConduktor encryption
Encryption typeIn-transit and at-rest (not end-to-end)In-transit and at-restIn-transit and at-rest
GranularityEntire payloadField-levelField-level or entire payload
ImplementationRequires configuration changesRequires changes on each clientConfigure once, applied everywhere
Regulatory complianceLimited (in-transit only)Better for PII and sensitive dataPCI-DSS, GDPR, HIPAA
Multi-clusterDepends on cluster setupLimited to clusters on MSPWorks across any Kafka vendor
Audit readinessMinimalModerateCentralized policy visibility
Latency impactLowModerate, depends on client processingLow, optimized at the proxy

Supported KMS integrations

HashiCorp Vault

Secret management, key rotation, and tokenization via Transform Engine.

AWS KMS

Native integration with AWS Key Management Service.

Azure Key Vault

Microsoft Azure's managed key solution.

Google Cloud KMS

Google Cloud Key Management for encryption keys.

Fortanix DSM

HSM-backed key management with confidential computing for regulated workloads.

85% faster security implementation

Per project vs. custom build. InfoSec signs off once, not once per team.

$200K+ annual savings

No more custom encryption builds. Fewer incidents from bad data. Less time on audit prep.

500+ hours saved per year

Across encryption implementation, access management, and audit preparation.

75% faster team onboarding

SSO, RBAC, and self-service ACLs mean new teams get access in minutes, not weeks of ticket queues.

vs. the alternatives

vs. Custom encryption per team

Implementations drift. Fields get missed. Conduktor encrypts once at the wire level across all applications.

vs. Native Kafka ACLs

Topic-level only. No field masking, no encryption, no audit trail of who accessed what. Conduktor adds all three.

vs. Managing access manually

SSH access, shared credentials, and ticket queues for every permission change. Conduktor gives you SSO, RBAC, and self-service ACL management.

Frequently asked questions

What's the difference between Conduktor encryption and Kafka's built-in TLS?

Kafka's TLS only encrypts data in transit between brokers and clients. Once data reaches the broker it's decrypted, and it sits in plaintext on disk. Anyone with broker or disk access can read it. Conduktor encrypts the payload (or specific fields) before it reaches Kafka, using your KMS keys. Data at rest stays as ciphertext. TLS protects the wire; Conduktor protects the data itself.

Does Conduktor encryption require code changes?

No. Gateway encrypts at the wire level by intercepting messages before they reach Kafka. Producers and consumers keep using standard Kafka clients. Nothing changes on their end.

Can different consumers see different data from the same topic?

Yes. Gateway masks fields dynamically based on consumer identity. A support team sees masked credit card numbers. A fraud team sees the full data. Same topic.

How do I integrate with my existing KMS?

Gateway supports HashiCorp Vault, AWS KMS, Azure Key Vault, Google Cloud KMS, and Fortanix DSM. Configure the connection once. Gateway handles key retrieval from there. Vault's Transform Engine is also supported for tokenization.

What compliance frameworks does this cover?

Console's audit logs and RBAC address SOC2, ISO 27001, and GDPR access control requirements. Gateway's encryption and masking address PCI-DSS, HIPAA, and GDPR encryption mandates. One covers who did what. The other covers how data is protected.

Does this work with Confluent Cloud, AWS MSK, and self-managed Kafka?

Yes. Works with any Kafka distribution. The security layer sits in front of your cluster regardless of the vendor.

How does access control work?

Console manages access for people (SSO, RBAC by user or group, UI masking) and applications (ACLs, service accounts). Gateway adds virtual cluster isolation, centralized authentication, and per-tenant policies. Both produce their own audit trails.

I have other questions?

Drop us a line and we'll get back to you.

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See how Conduktor handles encryption, access controls, and audit trails across your Kafka infrastructure.

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