DATA PROTECTION

Traditional controls aren't good enough

Because of the adoption of new technologies, implementation of hyper-agile processes, and increased volumes of data, traditional controls and first-generation tokenization solutions just aren't enough. They tend to be from outdated data-at-rest and data-in-motion access controls and perimeter-based protections. 

Seamless data protection

Our data protection suite is a scalable and fault-tolerant enterprise tokenization and encryption solution providing ease-of-integration and flexible, scalable architecture.

Enable your organization’s agility and cloud native focus

SecurDPS Enterprise is built on a flexible, elastic & self-healing architecture that is designed to adapt and adjust to any future changes or new business requirements in your environment:

• Holistic data protection with linear scalability and fault tolerance

• Scalable and fault-tolerant, requiring minimal effort and with little to no impact on existing applications

• Full automation for operation, data protection, audit, and logging

• Built on an Infrastructure as Code model

• Automated data security provisioning and delivery with orchestration systems like Kubernetes

• Multiple deployment methods, from hybrid to multi-cloud to cloud native

• Designed for infrastructure as code (IaC) and a continuous adaptive risk and trust assessment (CARTA) approach

Scalable and fault-tolerant enterprise tokenization and encryption

Comforte offers a variety of data protection methods, including industry-standard-based data tokenization, encryption, next-generation format-preserving encryption, data masking, and hashing.

Do protection methods differ?

Yes. Protection methods not only vary in how they change the data. You should consider far more when choosing the right mechanism for a specific use case.

Read this in-depth e-book to learn more about protection methods and their use cases.

Ease of integration makes all the difference

We enable implementation of data protection in months rather than years and at a fraction of the cost compared to other approaches:

• Transparent integration capabilities reduce implementation efforts and costs to a minimum--effectively secure data on-the-fly at capture and therefore over its entire lifecycle

• Integration without changing the record format of the original data allows running workloads and analytics on production data

• Accelerate protection of structured, semi-structured, and unstructured data in modern web, cloud, SaaS, COTS apps, and database-driven applications without coding

• Utilize powerful APIs for integration in any language or script