Advanced Data Classification

Data classification is the process of organizing information assets using an agreed-upon categorization, taxonomy or ontology. The result is typically a large repository of metadata useful for making further decisions. This can include the application of a tag or label to a data object to facilitate its use and governance, either through the application of controls during its life cycle, or the activation of metadata using data fabric.

By Deepti Gopal, Sema Yuce, Michael Kranawetter – Source

Why Is Data Classification Important?

Enhances Data Security

You can think of data classification like putting labels on boxes in a storage room. By sorting our data based on how sensitive or important it is, we can make smarter choices about protecting it. For the really important stuff – like personal customer details – we can add extra locks and alarms (like encryption and access controls). This way, we’re not just throwing a blanket security over everything; we’re making sure that the most valuable data gets the proper treatment.

Facilitates Compliance

Data classification is our GPS in navigating the complexities of policies like GDPR and HIPAA. By sorting our data, it becomes much easier to see which bits need to follow which rules. It’s like sorting laundry; you don’t wash your bright reds with your whites. Having a clear view of what sensitive data is where allows your organization to stay on the right side of the law.

Improves Data Management

Handling data well is key to getting things done efficiently. By classifying data, we’re basically organizing our digital filing cabinet, making it easier to find what we need, when we need it. This makes handling data, from storage to analysis, a smoother ride. Less clutter, less fuss.

Data Identification Managers Architecture

Flexible and Comprehensive Built-In Policies for Data Classification

Extensive Policy Repository

Our software includes a vast repository of over 1300 global privacy policies, covering 40+ native languages. This extensive range allows for immediate, accurate classification across diverse data types and regions, eliminating the need for time-consuming language translation​​.

Customizable Classification Rules

Tailor your data classification to fit your unique needs. Our system allows you to mix, match, and modify existing policies to create new classification rules. This customization ensures a precise fit for your company’s specific data environment

Setting Confidence Levels and Unique Count Minimums

Gain control over classification accuracy. Adjust the confidence level to balance between precision and coverage, and set the unique count minimum to minimize false positives. This flexibility helps fine-tune the system to your organization’s data landscape.

Tailored Solutions for Your Data Classification Needs!

Speak with our experts to discover the perfect data archiving plan for your business.

Comprehensive Reporting with Data Identification Manager

Diverse Data Reporting

Our tool offers versatile reporting capabilities across various data environments, including cloud, file systems, databases, and both structured and unstructured data. This ensures you have a complete overview of your data landscape

Lightning-Fast Query Times

Integration with PowerBI

Exportable Results

Harnessing Machine Learning "Magic" for Data Classification

Initial Training with Machine Learning

Our system begins with a robust machine learning model, pre-trained to understand a broad spectrum of data types. This foundational training ensures highly accurate data identification and classification from the outset.

End-User Validation of Classifications

We emphasize flexibility by offering optional features for end-users to validate machine learning-generated classifications. This alignment with your business’s unique requirements guarantees that our automated processes are tailor-made for your needs.

Continuous Machine Learning Validation

The innovation continues unabated! Our application perpetually validates and refines its classifications via ongoing machine learning. This dynamic approach maintains data classification accuracy, ensuring it stays current and adapts to evolving data patterns and organizational shifts.

Advanced Data Classification and Compliance for a Leading Global Bank

Situation

A leading global bank, operating in regions with stringent auditing and data compliance standards, faced the intricate task of managing and classifying a wide range of data effectively.

Challenge

The bank was confronted with the challenge of scanning, classifying, and managing both structured and unstructured data across various platforms. This task was intensified by the need to adhere to the strict auditing and data protection regulations specific to some of the regions it operated in.

Solution

Data443 Data Identification Manager provided an ideal solution. It offered an extensive array of over 1300+ built-in rules in 40+ languages, which the bank initially used for data classifications. The bank also capitalized on our solution's flexibility to create custom text and regex rules, further refining the classification process to meet their unique requirements.

This allowed the bank to effectively classify data across an array of repositories, such as SQL Server, SAP, Oracle, MongoDB, MySQL, and various file systems and network shares.

A key advantage of our solution was its integration capabilities, enabling the bank to link their PowerBI instance for enhanced data analytics and reporting. Additionally, the solution facilitated seamless mapping with Microsoft AIP and CyberArc, offering robust security and efficient access management across the bank’s data repositories.

Outcome

The implementation of Data Identification Manager notably improved the bank's data governance, security, and compliance frameworks. The solution's adaptability, coupled with its robust built-in rules, allowed for a custom and efficient data classification system.

This comprehensive approach not only ensured compliance with regional data protection and auditing standards but also streamlined their data management processes, significantly boosting operational efficiency.