SecurDPS Enterprise - Data Security Platform - Onefede
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SecurDPS Enterprise

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SecurDPS Enterprise allows organizations to take complete control of their sensitive data. Protecting sensitive data with a data-centric security approach helps your organization to comply with privacy regulations, reduce the risk of breaches and monetize valuable data – while improving your competitive advantage.

Today SecurDPS Enterprise is protecting hundreds of millions of payment transactions, healthcare records, insurance records, and more, reliably running in business-critical environments.

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Description

As your business grows, the last thing your organization needs is a data breach, data exposure incident, or a complex security audit to slow your progress. Infrastructures including on-premise processing and cloud deployments, as well as data collection and analysis, create plenty of opportunity for security lapses in data protection. Current and incoming regulations also require businesses to do more to maintain security and data privacy.

Data Protection Suite

Perimeter defenses, identity access management, and intrusion detection, help deter or slow down attackers from impacting your business. However, security gaps still exist when attackers are successful at bypassing those controls. The data-centric approach, deployed by SecurDPS Enterprise is proven to be one of the most effective means at reducing the risks of a data breach or data exposure incident. SecurDPS outperforms other data security solutions by protecting data at its earliest point of entry into your systems, and by reducing the need to de-protect the data. This means your business can continue to operate, and while reducing risks of exposing data.

Key Benefits
  1. Flexible Data Protection mechanisms including Tokenization, Encryption, and Masking based on your business and regulatory needs
  2. Format preserving protection which means the protected data won’t break your existing data structures while the data is protected
  3. Intelligent Integration Options such as SmartAPIs and Transparent Integration resulting in less Development work to get to a protected state
  4. Fault-tolerant, cluster deployment architecture provides data protection confidence on-premise, in the cloud, or As-A-Service

Vendor Information

Description

Comforte was founded in 1998 by the creators of a connectivity solution for mission-critical systems. A logical next step for comforte was to not only connect systems, but to also make sure that communication is always done in a secure fashion. Organizations around the globe are running their ATM and Point-of-Sale networks securely thanks to Comforte.

As our experience with securing data in motion increased, we decided to extend our technology to securing data at rest as well. Finally, after deploying our solutions at many organizations worldwide over the years, we took our portfolio one step further and created a data security platform that seamlessly integrates into the most modern cloud native environments as well as traditional core systems.

Building on more than 20 years of experience in unlocking more value from systems that never stop, comforte has evolved into a market leader for data security and cloud native tokenization. We now proudly serve over 500 enterprise customers across the globe.

Our Mission

We provide software solutions to protect and manage data that organizations have been entrusted with.

Our Core Values
  1. Humane
  2. Ambitious
  3. Smart
  4. Humble

Strong personal relationships and trusting each other are elemental in a digitized world. And this is not about humanizing technology. We aim at establishing long time partnerships with our people and our customers.

  • SecurDPS Discover and Classify

    Comforte’s Discovery and Classification solution is a unique and proprietary passive network packet capture process to identify sensitive data (such as highly-regulated PII) flowing through the organization. This flow visibility enables our solution to identify repositories (databases, applications, file systems, and log files) where sensitive data resides. The solution then does a comprehensive scan of those repositories to get full visibility into the depth and breadth of the data environment. Finally, it analyzes and consolidates the data identified as a result of those scans in a structure that allows the user to see data lineage, respond to subject access requests, identify production data in non-production locations, and many other privacy, security, and data governance tasks.

    SecurDPS Discover and Classify

    Comforte’s Discovery and Classification solution is a unique and proprietary passive network packet capture process to identify sensitive data (such as highly-regulated PII) flowing through the organization. This flow visibility enables our solution to identify repositories (databases, applications, file systems, and log files) where sensitive data resides. The solution then does a comprehensive scan of those repositories to get full visibility into the depth and breadth of the data environment. Finally, it analyzes and consolidates the data identified as a result of those scans in a structure that allows the user to see data lineage, respond to subject access requests, identify production data in non-production locations, and many other privacy, security, and data governance tasks.
  • SecurDPS Connect

    SecurDPS Connect allows users to develop customized templates which train the solution to detect and replace sensitive data with encrypted or tokenized data before that information is stored in the application or cloud service. These templates provide the mechanism to define what types of information are sensitive and guide the type of protection for each data field.

    SecurDPS Connect

    SecurDPS Connect allows users to develop customized templates which train the solution to detect and replace sensitive data with encrypted or tokenized data before that information is stored in the application or cloud service. These templates provide the mechanism to define what types of information are sensitive and guide the type of protection for each data field.

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