Table of Contents Hide

Leading the Way in Data Security and Compliance

November 22, 2024
user
watch0 MIN. READING
Data Automation Leading the Way in Data Security and Compliance

We’re thrilled to announce that Accelario has been recognized as a Representative Vendor  in the 2024 Gartner® Market Guide for Data Masking and Synthetic Data! We believe that this recognition is a testament to our commitment to helping organizations protect sensitive data, streamline test data management, and meet the evolving needs of data security and compliance.

In an era where data privacy regulations are expanding rapidly and where AI and analytics projects depend on the secure use of data, Accelario’s suite of solutions is ideally positioned to address these challenges. 

Meeting the Demand for Rapid, Secure Test Data and Privacy-First Approaches

As data privacy regulations become more stringent and comprehensive, organizations across all industries need to protect sensitive data while maintaining data usability for development, testing, and AI training. Accelario’s solutions align closely with these needs by providing superior data masking capabilities.

These approaches allow organizations to:

  • Securely anonymize and transform sensitive data for environments where it would otherwise be at risk of exposure.
  • Maintain high data utility so teams can continue using masked data in business processes, and development.
  • Ensure compliance with expanding privacy laws, particularly for sensitive data fields like personally identifiable information (PII) and protected health information (PHI).

Accelario’s data masking solutions are engineered to protect against unauthorized access and accidental leaks, especially in cloud-based environments where data access requires a high degree of flexibility and precision.

Compliance-Friendly Test Data Provisioning

One of the key challenges for today’s data-driven teams is finding a balance between rapid data provisioning and security. Often, real data can’t be used for testing due to privacy risks or logistical hurdles. Data generation has become a game-changer in these scenarios, offering an alternative to real data that can still be used to support development and machine learning.

With Accelario’s data capabilities, organizations can:

  • Accelerate testing and development by generating realistic data that retains the structure and relevance of the original dataset.
  • Protect real customer data by removing sensitive information from non-production environments.
  • Provide diverse, bias-free data for machine learning, ensuring models are accurate and fair.

These data solutions are particularly valuable for AI and DevOps teams who need fast access to realistic data without compromising compliance.

Advanced Features for Self-Service, Speed, and Security

Data needs to be available instantly and securely. Accelario’s platform offers advanced features that enable users to securely access test data when they need it, including:

  • Self-service portals for quick and easy data provisioning by developers and data scientists.
  • Data virtualization capabilities that integrate seamlessly with data sources, allowing secure, efficient data use without creating redundant copies.
  • Automated discovery and rule management that ensures data masking is consistent across databases, with minimal manual intervention.

These capabilities not only streamline the data management process but also empower teams to meet compliance standards without delays or extra workloads. 

What’s Next for Accelario?

We’re committed to continually improving our solutions to meet the evolving needs of data security and compliance. As the demand for privacy-first data solutions grows, we’re excited to keep leading the way, helping organizations turn data challenges into opportunities.

 

Gartner, Market Guide for Data Masking and Synthetic Data, By: Joerg Fritsch, Andrew Bales, 26 August 2024.

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.