Release Overview:
Main Features
1. Parallel Masking for MSSQL
With the addition of Parallel Masking for MSSQL, Accelario significantly boosts masking performance on Microsoft SQL Server databases. This feature allows for concurrent processing, reducing job execution time and optimizing resource utilization.
2. Ease of Use - Precise Error Handling
To enhance user experience, we’ve introduced Precise Error Handling, making it easier to identify, understand, and resolve issues during the masking process. Users are now provided with precise details, including the specific row, column, and failed value, enabling faster identification and resolution of issues during the masking process.
3. "Seed" for Mask AnyValue
The Seed for Mask AnyValue feature introduces the option to define a seed value for randomization, which changes from instance to instance. This ensures secure and non-deterministic masking results, adding an extra layer of unpredictability while maintaining the integrity of anonymized data across datasets.
4. AI Integration for Masking Regex Creation
Accelario now integrates AI into Masking, enabling users to define custom masking rules effortlessly. With this feature, the system uses AI to generate regular expressions (regex) based on user input, simplifying the creation of complex masking patterns while maintaining precision.
Other Features
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Reorganized Left-Side Menu:
A redesigned menu structure improves navigation, making it easier to locate and access features.
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Sensitive Data Search - Single Table Scan:
Users can now perform a sensitive data scan on a specific table, providing a focused and faster way to analyze smaller subsets of data.
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System Parameters in System Setup (Read-Only):
Advanced users can now view system parameters directly in the System Setup section, offering greater transparency into configuration details without risk of accidental changes.
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Masking Operation Progress - Speed Chart:
Added a Masking Speed Chart to the Masking Operation Progress page, enabling users to visualize processing speed and identify bottlenecks during masking operations.
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Dashboard Report for License Usage:
A new License Usage Dashboard Report provides insights into license utilization, helping organizations track and manage their anonymization resources effectively.
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Support for File Uploads via URL:
Files for masking can now be uploaded using a URL, simplifying integration with remote systems and external storage.
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AI Indication in Sensitive Data Search Results:
Sensitive Data Search results now clearly indicate when AI has been utilized to enhance identification, providing users with greater confidence in their findings.
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New Masking Rule for Israeli Passport Numbers (Darkon):
A dedicated rule for anonymizing Israeli Passport (Darkon) numbers ensures compliance with local data privacy requirements.
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This sprint focuses on standardizing the application, improving user experience, and enhancing performance calculations. Below are the updates included in this release:
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Enhancements
1. Standardized Wordings Across the Application
We have revised and standardized wordings throughout the application to ensure consistency and clarity in communication. This change improves the overall user experience by making the interface more intuitive and professional.
2. Unified Date and Time Format
The application now uses a single date and time format across all modules and components. This ensures consistency, reduces confusion, and simplifies interpretation for users across different time zones and systems.
3. New Masking Job Step: Analyzing DB Objects
A new step, "Analyzing DB Objects" has been added to the Masking Job workflow. This step provides an in-depth analysis of database objects before masking begins, enhancing transparency and accuracy in the masking process.
4. Improved Speed Calculations for Masking
Table Speed Calculation: The speed of completed tables is now calculated based only on masked records and elapsed time, ensuring more accurate performance reporting.
Batch Speed Calculation: Masking speed is now dynamically calculated based on the last N batches, providing a more precise reflection of real-time job performance.
5. Sensitive Search Result Limitation
To improve usability and prevent overwhelming users with excessive data, we have introduced a limit on the number of sensitive data search results. Users can now manage search outputs more efficiently while focusing on the most relevant data.
6. UI: Grid Refactoring (Partial Implementation)
As part of an ongoing effort to enhance the application’s interface, we’ve started refactoring grids on the masking screens. This update improves responsiveness, readability, and usability, laying the groundwork for a more streamlined user experience.