Identifying sensitive data once required manually crafting intricate regular expressions, more commonly known as Regex, a painstaking process that demanded technical expertise and significant effort. Developers and security teams had to meticulously design and fine-tune these patterns to capture specific data types, such as credit card numbers, Social Security numbers or personally identifiable information.
Even then, maintaining accuracy was challenging (i.e. as minor variations in data formatting led to false positives or missed detections). This was time-consuming and prone to human error, which made it difficult to scale across large datasets and evolving compliance requirements.
Enter Accelario, an innovator in data provisioning and compliance solutions, and its Automatic Recognition of Sensitive Data feature.
Accelario has a mission to drive efficiency and excellence in software development through innovative AI-powered Anonymization and Database Virtualization technologies. It offers real, compliant and on-demand test data for faster development cycles, higher-quality releases and better data privacy.
The Automatic Recognition of Sensitive Data feature streamlines data identification by eliminating the need for technical expertise. So, instead of manually crafting complex Regex patterns, users simply describe their needs in plain language, and the system automatically generates accurate patterns. This automation reduces errors, and it makes sure that sensitive data, such as PII or financial records, is correctly identified and protected.
This feature also saves valuable time by transforming tasks that once took days into mere minutes. It also simplifies compliance with regulations like GDPR by making sensitive data masking effortless.
But how does this actually work in a real-world situation?
An example Accelario used was using the feature to identify specific patterns like Brazilian car plates. Users simply request “Find Brazilian car plates.” The AI instantly generates accurate Regex patterns.
“Our Automatic Recognition of Sensitive Data feature is a game-changer for organizations managing vast amounts of sensitive information,” said Michael Litner, chief architect, R&D manager and co-founder at Accelario. “By leveraging AI to simplify a traditionally complex process, we’re enabling faster, more accurate, and secure data provisioning. This is about democratizing data management so that anyone, regardless of technical expertise, can play a part in safeguarding sensitive information.”
For MSPs, Accelario’s AI-powered Anonymization and Database Virtualization technologies offer an ideal way to handling sensitive data efficiently. One of the biggest challenges MSPs face is making sure of data security and regulatory compliance while managing multiple clients with different requirements. The Automatic Recognition of Sensitive Data feature eliminates the need for technical expertise in Regex. It allows MSPs to quickly and accurately identify and protect sensitive information across various datasets.
The long-story-short here? For MSPs looking to enhance efficiency, improve compliance and scale operations more effectively, this technology is an ideal tool.
Edited by
Alex Passett
