SINET16 Innovator Award Winner
Recognized as the fastest and easiest approach to cloud data protection
AWS Redshift Support
Secure the Data Pipeline with Field Level Encryption, Dynamic Data Masking, and Adaptive Access Control
Our Solution
Baffle delivers an enterprise-level transparent data security platform that secures databases via a "no code" model at the field or file level. The solution supports tokenization, format-preserving encryption (FPE), database and file AES-256 encryption, and role-based access control. As a transparent solution, cloud-native services are easily supported with almost no performance or functionality impact.
Simple
No application code modification
required
Fast
Virtually no performance
impact
Seamless
Integrates easily into your
infrastructure
Secure
AES encryption in memory, in use,
and at-rest
Data Protection Services
Data protection data sheetEnterprises continue to battle cybersecurity threats such as ransomware, as well as breaches and losses of their data assets in public and private clouds. New data management restrictions and considerations on how it must be protected have changed how data is stored, retrieved and analyzed.
Baffle’s aim is to render data breaches and data losses irrelevant by assuming that breaches will happen. We provide a last line of defense by ensuring that unprotected data is never available to an attacker. Our data protection solutions protect data as soon as it is produced and keep it protected even while it is being processed.
Baffle's transparent data security mesh for both on-premises and cloud data offers several data protection modes. Capabilities include:
Protect data on the fly as it moves from a source data store to a cloud database or object storage, ensuring safe consumption of sensitive data by downstream applications
De-identify and tokenize data using Format Preserving Encryption (FPE) or deterministic encryption modes
Data-centric protection at the field or record level in data stores secures the actual data values
Simplified dynamic data masking plus role-based access control to control who can see what data. Irreversible static masking to devalue data for test/dev environments or production clones
No-code field or row-level encryption in Postgres, MySQL, Snowflake, Amazon Redshift, Microsoft SQL Server, Kafka, and more
Encrypt files and de-identify data in cloud data lakes to enable AI and privacy-preserving analytics
Provides an off-the-shelf BYOK service for SaaS vendors to support multiple customer-owned keys in multi-tenant environments
REST API Data Protection Services
Easily deploy tokenization and data protection service for virtually any application or data store
Define which systems, users or groups can access data stores and dynamically entitle who can see what data
Run AI and ML algorithms against encrypted data without ever decrypting the underlying values. Baffle DPS supports any mathematical operation on encrypted data in memory and in process
Multi-party data sharing without compromising privacy. Allow multiple parties to submit data with a HYOK model and allow aggregate analytics to execute on co-mingled data stores
Enable secure sharing of data across multiple parties without revealing private values to other participants
“Customers are demanding support for Bring Your Own Key (BYOK) to enable ownership of their encryption key material and have control over their data with revocation rights. Workiva is building AWS KMS key management into the core of our platform, where customers can bring in encryption key material and manage it, and then use those keys in conjunction with Baffle. The joint solution requires no large-scale architectural overhauls or application changes, or dedicated databases per tenant. As a result, development time is instead being spent adding even higher value add enhancements instead of modifying the architecture and application, and Baffle allows us to execute on that vision.”
Security Architect, Workiva
“Baffle enabled us to securely transform to a modern event-driven cloud data mesh. For the first time we could use multiple encryption keys seamlessly and also provide our internal applications a simplified centralized way to de-identify sensitive data.”
Paul Makkar, Director of Data, Saxo Bank
Use Cases
Schedule a live demo with one of our solutions experts to get answers to your questions