Apica Introduces Fleet Management for Managing Telemetry Agents Learn More
Overview
Apica’s Mask/Transform capabilities enable users to protect sensitive information and adapt their data to meet specific requirements. These features ensure data privacy and compliance while enhancing its usefulness across various personas.
FEATURES
Data Masking
Hide or replace sensitive data with placeholder values.
Data Redaction
Remove sensitive information from log data completely.
Pseudonymization
Replace identifiable data with artificial identifiers.
Data Encryption
Secure sensitive data using encryption algorithms.
Data Format Transformation
Convert data formats to match specific needs.
Data Field Extraction
Extract specific fields from log data for further analysis.
Data Field Renaming
Modify field names to improve consistency and readability.
Data Field Concatenation
Combine multiple fields into a single field.
Benefits
DevOps
- Protect sensitive application data with masking and encryption features.
- Simplify data integration with transformed and extracted data.
- Enhance code readability with renamed and concatenated fields.
- Improve application security with responsible data management.
Business Executives
- Ensure data privacy and compliance with masking, redaction, and encryption.
- Enhance data usability with transformation and extraction features.
- Improve decision-making with consistent and formatted data.
- Protect company reputation and customer trust with secure data handling.
Data Analysts
- Maintain data integrity with masking and redaction features.
- Streamline data analysis with transformed and extracted data.
- Increase productivity with formatted and consistent data.
- Reduce data-related errors with field renaming and concatenation.
IT Professionals
- Uphold data security with encryption, masking, and pseudonymization.
- Simplify data management with format transformation and field extraction.
- Improve system performance with consistent and adapted data.
- Support compliance efforts with secure and private data handling.
Marketing Professionals
- Safeguard customer privacy with masking, redaction, and encryption.
- Boost campaign efficiency with transformed and consistent data.
- Enhance customer segmentation with extracted and concatenated data.
- Foster customer trust with responsible data handling.
