Security at Every Layer of Your Cloudera Stack
Built for CISOs, CDOs, DPOs, and data teams — SecureToken is the only vaultless, Spark-native tokenization solution built for enterprise-scale workloads on Cloudera.
Vaultless, In Place
Tokenization
Tokenize and detokenize sensitive data directly inside Spark without moving it outside the Cloudera environment or relying on external vaults.
Governance
By Design
Integrates natively with Ranger, KMS, and Atlas to enforce fine-grained access control and policy programmatically — at the column, row, or role level.
AI-Ready,
Analytics-Safe
Use tokenized data in AI/GenAI models, real-time analytics, and data science pipelines — thanks to Format-Preserving Encryption that maintains usability while protecting privacy.
Secure Data, Without Moving It
Other tokenization platforms rely on external servers and vaults — moving your most sensitive data out of Cloudera and into risky territory. SecureToken does the opposite.
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Tokenize where your data lives. All processing happens inside Apache Spark — no movement, no replication, no added exposure.
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Zero external vaults. Tokens are generated and validated in-memory with no need for standalone servers or HSMs.
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Built for real-time analytics. Data remains local and queryable — ready for BI dashboards, AI models, and reporting tools.
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Minimize exposure, maximize control. Keep sensitive data secured inside the lakehouse at all times. No copies, no weak points.
Governance Without the Grind
Compliance shouldn’t be a patchwork of tools and manual rules. SecureToken brings built-in, automated security to Cloudera— from access control to audit trails.
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Native Ranger + KMS integration. Enforce security policies, manage encryption keys, and track activity, all from within CDP.
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Atlas-driven policy control. Easily define and manage column- and row-level access rules tied to data governance policies.
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Automated enforcement. No more custom scripts. SecureToken applies access and masking rules at runtime, by role.
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Compliance across frameworks. Meet global data protection mandates like GDPR, NIS2, DORA, BCBS 239, and more.
Enterprise Performance at Scale
SecureToken is built for big data. Powered by Spark and proven in 500+ enterprise deployments, it tokenizes at speed without slowing down your pipelines.
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Tokenize petabyte-scale data. Use elastic Spark clusters to process massive workloads — without introducing bottlenecks.
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Plug-and-play inside Cloudera. Install in hours. No agents, no reconfiguration, no external compute to manage.
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Inline ETL/ELT tokenization. Secure data without rewrites. Tokenize directly within your data pipelines, at the point of processing.
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Scale compute on your terms. Leverage existing CDP infrastructure and tune Spark resource allocation as needed.
Explore Bluemetrix SecureToken's Features
Vaultless tokenization for protecting PII without slowing Cloudera.
Frequently Asked Questions About Vaultless Tokenization
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How do I learn more about BDM Ingest?Reach out here to learn more with BDM Ingest for free and automate data pipeline management with a visual low code builder. Alternatively, you can request a personalized demo from our team.
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What data sources does BDM Ingest offer connectors for?Bluemetrix offers a full suite of Connection Profiles for major data sources - Mainframes, Data Warehouse, Files, Streaming Data - and destinations that includes, Databases: JDBC, etc. Files: JSON, CSV, AVRO, EBCDIC, Text, Parquet, ORC, etc Streams: Kafka & Spark Structured Streaming We also add new connectors based on customer requests. The more requests we get for a source, the higher we prioritize building the new connectors.
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How does BDM Ingest automate the ingestion of data?Bluemetrix has been working with Hadoop and other Data Lake technologies since 2009, and in that time we have built over 400 enterprise Data Lakes. Using this experience we have developed our own proprietary technology to create an intelligent ingestion engine that simplifies the ingestion of data at scale. The functionality includes: Templates: The ability to build and use templates to ingest complex data sources Variables: The ability to use variables in templates to ingest complex data sources Large Scale Ingest: We have custom solutions to work with most data sources Orchestration: We support multiple scheduler tools to automate the execution of the ingestion Pipelines: BDM Ingest automates the creation and the management of your pipelines
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How does Bluemetrix handle changes in the source, such as schema or API changes?"Our pipelines are configured to handle new fields or tables added to your source automatically, so you don’t need to make manual adjustments in the UI. As the schema of your data changes at source, we implement these changes at the destination plus we inform all pipeline owners that consume the source of the changes as they happen, so that they can change their pipelines if necessary. We constantly monitor and stay ahead of API changes or deprecations so you don’t need to think about it.
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Do I have to do anything if an API endpoint is changed?No, the Bluemetrix team will update the connector. BDM Ingest is fully managed, including managing your destination schema in addition to staying ahead of API changes for all connectors.