Postgres Encryption

Baffle's Data Protection Services simplifies tokenization, encryption and masking of data in Postgres without any application code changes and with virtually no performance overhead.

Customers may struggle when trying to protect sensitive data in a Postgres database. The methods that exist are clunky and require significant developer effort to implement and to maintain that functionality. Further, many customers are migrating off of Oracle databases and encrypting data in cloud Postgres databases. They have a need to implement stronger security in the cloud to protect their sensitive data.

In addition, AWS Aurora also uses a scalable and performant server-less implementation of Postgres. Increasingly, customers are storing more and more data in these cloud database platforms. Data storage encryption is really needed in this scenario, and it's one that more organizations find themselves relying upon.

Without data-centric protection at the field level, attackers can easily access data as evidenced by the continued onslaught of data breaches. Still, implementing such security measures can be time consuming and costly, not to mention difficult to enable for Postgres.

Postgres encryption is achieved through Baffle with no obstruction or interruptions for end-users, and decryption occurs on-the-fly as users require the data.

Customers have consistently cited the low to no performance overhead of Baffle's data encryption solution and the ease with which it integrates and supports cloud native services. With Baffle, to encrypt or not to encrypt at the field level is never a question with SQL.

The Baffle Data Protection Service provides a transparent data-centric security layer that offers several data protection modes. Capabilities include data de-identification, tokenization, field-level encryption, record-level encryption, format preserving encryption (FPE), BYOK for SaaS, dynamic data masking and more.

Unfortunately, data breaches continue to occur, but Baffle reduces the risk of data breaches by encrypting and masking data end-to-end. That means that even if a security breach takes place, the data won't be able to be read or used in any way. With insider threats becoming more abundant, having encrypted data and masked is all the more important.

In a zero trust model, Baffle assumes that security breaches will occur, and that the best solution is to protect the actual data values. Baffle helps prevent data leakage or theft by keeping data encrypted or masked wherever it is stored. By doing so, even if attackers move laterally through your network, the data remains protected.

Enabling data-centric security in Postgres protects data from disclosure due to unsecured networks, careless work habits or database server theft. Encryption also helps companies comply with sensitive data and data privacy regulations for medical records or financial transactions.

Postgres Encryption Demo

Watch this video on postgres encryption of an AWS RDS Postgres database. The video shows an in-place migration to demonstrate transparent data encryption of postgres and how easily Baffle can enable simplified database encryption for stronger data protection. Baffle's solution stands-out amongst encryption options due to its transparency, performance, and ease-of-use.

Baffle supports the following:

  • AWS Aurora Postgres
  • AWS RDS Postgres
  • IBM Cloud Databases for PostgreSQL
  • Microsoft Azure Postgres
  • Google Cloud SQL for PostgreSQL
  • PostgreSQL on Nutanix

Below are additional resources if you're interested in learning more or feel free to Request a Demo to speak with one of our solutions architects.

Learn more about Baffle’s Data Protection Services here.

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

TokenizationFPE2

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