BY SPIRION
February 5, 2024
Spirion’s newly released performance enhancements to our Sensitive Data Platform (SDP) enables a greater level of visibility and control over business-critical data.
In a data-driven landscape, businesses are amassing more data than ever before. Productivity data, encompassing content, collaboration data, email, and files, is projected to surge from 5.5ZB in 2020 to over 23ZB in 2025, with a compound annual growth rate of over 33%, according to market intelligence firm IDC[1].
Additionally, the surge in remote and hybrid work has led to a significant increase in data usage. The average person working from home consumes 8 to 20 Gigabytes (GB) of data each month. This sheer volume of content has left IT security and privacy leaders grappling with the challenge of managing it effectively to ensure that sensitive enterprise data, such as personally identifiable information (PII), protected health information (PHI), and payment data, remains safeguarded and compliant with data privacy regulation without impeding business operations or productivity.
To address the sensitive data management challenges faced by contemporary data-driven enterprises, Spirion has overhauled our sensitive data scanning engine to speed up the scanning of repositories and returning results. The initial phase introduces a multi-threaded architecture capable of processing scans two to five times faster than before. Future phases will further amplify scanning speeds, reaching hundreds of times faster.
Key features of this new architecture include:
- Distributed Scans: Uses multiple agents to scan a single large-volume target, ensuring faster scans by efficiently dividing the locations to be scanned.
- Results Streaming: Processed results are streamed in real-time, enabling immediate actions on sensitive data.
- Status/Health Reporting: Users can monitor the progress and health of their scans in real-time.
- Enhanced Encryption: This includes generating separate passwords for each search, with only the designated agent being able to read it.
The legacy agent is single threaded, which can result in slower-than-expected scan times for very large data sets.
Modern architecture will offer multi-threaded architecture, distributed agents to share tasks, results streaming to see results as soon as they’re processed, and many other enhancements.
Explore more about these important updates.
[1] IDC, “Worldwide Global DataSphere Forecast, 2021–2025: The World Keeps Creating More Data — Now, What Do We Do with It All?” June 2021
