Building Custom Recognizers
📰 Dev.to · Brian Spann
Learn to build custom recognizers by extending Presidio with deny-list recognizers, regex patterns, and no-code YAML configuration to enhance data protection and analysis capabilities
Action Steps
- Extend Presidio with deny-list recognizers to filter out unwanted data
- Configure regex patterns to match specific data formats
- Enhance context using no-code YAML configuration for easier maintenance
- Connect external services like Azure AI Language as a remote recognizer for advanced language analysis
- Test custom recognizers with sample data to ensure accuracy and effectiveness
Who Needs to Know This
Data scientists and software engineers on a team can benefit from custom recognizers to improve data analysis and protection, and to integrate with external services for enhanced functionality
Key Insight
💡 Custom recognizers can be built and integrated with Presidio using deny-list recognizers, regex patterns, and no-code YAML configuration
Share This
💡 Extend Presidio with custom recognizers for enhanced data protection and analysis #Presidio #DataProtection
Key Takeaways
Learn to build custom recognizers by extending Presidio with deny-list recognizers, regex patterns, and no-code YAML configuration to enhance data protection and analysis capabilities
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