Message Content Moderation and Masking
Automatically detect and mask Personally Identifiable Information (PII) in text
Details
Video
Description
This solution automatically detects and masks Personally Identifiable Information (PII) in text data, such as names, addresses, and contact details, ensuring compliance with data privacy regulations like GDPR. The model filters sensitive information before data is stored or shared with third-party APIs, reducing the risk of privacy breaches and legal liabilities. Additionally, it moderates messages in online marketplaces by removing contact information to prevent buyers and sellers from bypassing the platform’s secure environment, helping retain revenue and maintain transaction transparency.
Features
Automated PII Detection and Masking
Compliance with data privacy regulations like GDPR and reduces the risk of exposing sensitive information
Real-Time Chat Moderation
Monitors and filter marketplace chats in real-time maintaining transparency and protecting user privacy
Seamless Integration with Third-Party APIs
Enhance data security by filtering sensitive data before sharing it with third-party systems and partners
Product information
Text Input: The solution analyzes incoming text data, whether from messages, chat interactions, or other communication channels.
PII Detection: The model automatically detects Personally Identifiable Information (PII) such as names, phone numbers, addresses, and email addresses within the text.
Masking & Filtering: Once PII is detected, it is immediately masked with placeholders (e.g., ***), ensuring that sensitive information is not exposed or shared.
Moderation in Marketplaces: The model filters out any contact information exchanged between buyers and sellers in marketplace chats, preventing off-platform transactions.
Compliance & Security: All PII is removed before data is stored or shared with third-party APIs, ensuring compliance with privacy regulations like GDPR and enhancing overall data security.
Dataset:
A dataset containing various types of PII, including names, addresses, phone numbers, email addresses, and other identifiable information, used to train the model for accurate detection and masking.
Model Details:
Natural Language Processing (NLP) model trained using a combination of named entity recognition (NER) techniques and regular expressions to identify and mask PII in text data.
Use Case: PII Detection and Masking for Financial Institutions
Industry: Banking & Financial Services
Description: The solution automatically detects and masks sensitive PII such as customer names, addresses, and account numbers in communications, ensuring that no private information is shared or exposed.
Benefit: Ensures compliance with strict data privacy regulations like GDPR, enhances security during customer support interactions, and reduces the risk of data breaches and legal liabilities.
Use Case: Chat Moderation for E-commerce Marketplaces
Industry: E-commerce
Description: Implementing the solution to moderate chat interactions between buyers and sellers in online marketplaces, filtering out contact information to prevent off-platform transactions and safeguard the platform’s revenue.
Benefit: Helps retain platform revenue by ensuring transactions occur within the marketplace, reduces fraudulent activity, and improves transaction transparency, while protecting user privacy by filtering sensitive information.
Use Case: API Data Filtering for Healthcare Providers
Industry: Healthcare
Description: Integrating the solution into healthcare platforms to automatically detect and mask PII, such as patient names, phone numbers, and medical records, before sharing data with third-party APIs.
Benefit: Ensures that healthcare providers comply with privacy regulations like HIPAA, protects sensitive patient information when integrating with external systems, and reduces the risk of privacy breaches and legal penalties.
The AI solution is designed with your data security and privacy in mind. We ensure that all documents processed through our system adhere to the highest standards of data protection, maintaining compliance with regulations like GDPR and POPIA.
Here’s how we safeguard your information:
- Data Encryption: All data, both in transit and at rest, is encrypted using industry-standard protocols, ensuring that sensitive information remains secure.
- Access Control: Only authorized personnel and systems can access your data, with strict access control measures in place to prevent unauthorized use.
- Compliance with Privacy Regulations: We comply with global and local data privacy regulations, including GDPR (General Data Protection Regulation) and POPIA (Protection of Personal Information Act), ensuring that your data is handled with care and transparency.
- Data Anonymization: Personal and sensitive data can be anonymized during processing to reduce exposure and maintain privacy, without compromising the integrity of the verification process.
- Secure Document Storage: Verified documents can be securely stored, with retention policies aligned with your compliance needs. You retain full control over document storage and access.
- Audit Trail: Our system maintains a full audit trail of all document verification activities, providing transparency and accountability for every transaction.
We prioritize the confidentiality and security of your business data, ensuring that our verification processes not only improve efficiency but also strengthen trust in how your information is managed.
This AI solution adheres to the Highwind standard Service Level Agreement (SLA):
- Response Time: You will receive an initial response within 24 hours of logging your ticket.
- Resolution Time: Most issues are resolved within 48 hours. Complex issues may take longer, and we’ll keep you updated throughout the process.
For any additional questions or immediate assistance, please feel free to reach out!
Coming Soon
This feature will be available in early 2025.