Ensuring protection of your data and your customers' data is a never-ending challenge.  Traditional solutions such as Transparent Data Encryption (TDE) or Application Layer Encryption (ALE) are no longer effective or feasible in modern environments.

Secure Cloud Migrations

As you move your data from on-premises to cloud data lakes and warehouses, security can become an afterthought. Sensitive data often gets exposed in the clear before being encrypted at rest. Other data protection measures require application changes that are disruptive or not even feasible. 

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Data Breaches

The onslaught of data breaches continues to occur unabated.  Over 1 billion records have been leaked from the cloud. Part of the challenge is ensuring that your security measures are adequately protecting against evolving threat models.

Insider Threat

Roughly 60% of breaches have been caused by insiders in an organization according to several industry studies.  Privileged users and third party developers often have untethered access to some of your most sensitive data. Beyond privileged access management, role-based data de-identification can help ensure privacy for your company's data.

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Encryption Complexity

Most conventional data encryption is mis-applied, difficult to implement and maintain, and quite frankly, very ineffective against modern threat vectors and breaches.  For companies who have accepted that they will be attacked and breached, modern data-centric security can provide a streamlined and effective countermeasure to attackers in your network.

Data Protection Services

Enterprises 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

Schedule a live demo with one of our solutions experts to get answers to your questions