File and Data Pipeline Security
Protect files and sensitive data inside objects stored in the cloud
Cloud Storage and Cloud Data Lakes
Businesses today are seeking to quickly derive intelligence from their data while leveraging cloud infrastructure. This creates a distributed data environment with multiple stakeholders accessing sensitive information. It also creates potential data exposure points and introduces challenges in securing the information and complying with data privacy regulations.
Baffle Data Protection Services enables data-centric protection of sensitive information inside unstructured files or object source data. The same field level encryption and tokenization capabilities that Baffle provides for structured data can be applied to data inside files and object storage to ensure data privacy. Data-Centric File Protection (DFP) simplifies protection of data and compliance as part of the business intelligence data pipeline.
DFP allows organizations to protect data on-the-fly as it moves from a source data store to file or object storage. The solution protects sensitive data inside the files so it remains protected as it is consumed by downstream analytics solutions or third parties.
DFP integrates with Baffle’s Key Virtualization Layer to leverage existing enterprise key management stores, cloud key stores, HSMs, or secrets managers. This allows customers to use their own keys as data is protected during a migration process to cloud storage environments such as AWS S3. DFP also supports data tokenization.
Baffle DFP also integrates with AWS Database Migration Services (DMS) and Azure Database Migration Service to support heterogeneous source data stores. These end-to-end protection capabilities secure information as part of the data pipelining process from source data stores to cloud storage as data gets staged for data warehousing and analytics processes.
Video (4:19) of S3 Object Encryption
Baffle delivers application level encryption on a per field basis via a “no code” model. The technology supports “homomorphic-like” capabilities — the ability to perform mathematical operations on AES encrypted data without ever decrypting the underlying values. Data stays protected in memory, in use and at-rest.
No application code modification
Virtually no performance
Integrates easily into your
AES encryption in memory, in use,
See How Baffle Can Protect Your Data
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