Private AI 4.0alpha – NER
Introducing Private AI's Named Entity Recognition (NER) Route: Enhance Risk Assessments with Entity Detection
At Private AI, we empower organizations to handle data responsibly while maximizing its potential. With our 4.0alpha release, we’re excited to introduce our Named Entity Recognition (NER) Route—a powerful tool that allows you to detect and extract entities from your text data, crucial for identifying risks and ensuring regulatory compliance in line with your organization’s data protection policies.
Our NER Route covers PCI, PII, PHI, and Confidential Company Information (CCI) across 50+ languages, providing comprehensive entity detection to meet your global data privacy needs.
What Sets Our NER Route Apart?
While our existing process_text route provides both entity detection and redacted text, the new NER route focuses solely on returning the detected entities. In both cases, the original text remains unmodified. The key difference lies in the output:
- • NER Route: Returns only the detected entities, ideal for applications requiring detection and analysis, especially for risk assessment.
- • Process_Text Route: Provides detected entities along with a redacted version of the text.
Ideal Applications for the NER Route
• Privacy Impact Assessments: Identify personal and sensitive data within documents to evaluate compliance with privacy regulations like GDPR and CCPA.
• Cybersecurity Risk Assessments: Detect sensitive information—including PCI and CCI—that could be vulnerable to breaches, helping to strengthen your security posture.
• Data Governance and Compliance: Understand where sensitive data resides across multiple languages to manage it appropriately and meet regulatory requirements.
• Content Auditing: Analyze large volumes of text to identify potential risks and ensure adherence to company policies.
Why Choose Our Named Entity Recognition Route?
✓ Comprehensive Coverage Across Languages and Data Types: Detect PCI, PII, PHI, and CCI in over 50 languages, ensuring your risk assessments are thorough and globally applicable.
✓ Efficient PII Detection: Quickly determine whether sensitive information is present in your data, facilitating privacy impact assessments and compliance efforts.
✓ Obtain Comprehensive Information: Access granular entities and enable custom implementation for more accurate decision-making and flexibility in data handling.
✓ Inform Strategic Decisions: Gain insights into your data’s sensitive elements to inform policies, compliance strategies, and security measures.
Benefits of Using Our NER Route
Broad Language Support
Detect sensitive entities in over 50 languages, ideal for multinational data.
Rapid Risk Identification
Determine swiftly whether PII or other sensitive data is present, aiding in compliance and risk mitigation.
Streamlined Analysis
Focus on essential information needed for risk assessments, reducing time and resources spent on data processing.
Enhanced Compliance and Security
Support adherence to data protection laws and organizational policies by accurately identifying personal and sensitive information.
Ready to Strengthen Your Data Risk Assessment Capabilities?
Experience precise entity extraction with our Named Entity Recognition Route—delve into your text data without altering the original content. Extract PCI, PII, PHI, and CCI in 50+ languages to boost privacy assessments, cybersecurity, and risk management.
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