Fendr is a desktop application that protects sensitive data by redacting PII and confidential information in real-time as users attempt to paste it into untrusted applications and URLs. This solution enables organizations to safely adopt generative AI tools while maintaining data sovereignty and compliance.
Funding
Funding not disclosed
Founders
Product
Problem
The widespread adoption of generative AI tools by employees, often outside of IT oversight, creates significant data privacy, security, and compliance risks. Human error, particularly through copy-pasting sensitive information into untrusted environments, is a primary vector for data breaches.
Solution
Fendr is a desktop application designed to mitigate the risks associated with generative AI adoption by preventing the exfiltration of sensitive data. It operates by identifying and redacting personally identifiable information and other business-critical data in real-time as users attempt to paste it into untrusted applications, SaaS platforms, and URLs. This approach allows organizations to leverage the productivity benefits of AI while maintaining data sovereignty and compliance. Fendr integrates with existing data loss prevention workflows without requiring data labeling.
Target Audience
Fendr targets organizations and enterprises concerned with data security and compliance, particularly those enabling or experiencing the adoption of generative AI tools by their workforce.
Features
- Real-time, in-app data redaction for sensitive information pasted into untrusted environments.
- Machine learning models for dynamic identification of PII and confidential business data.
- Desktop application that functions across all SaaS platforms, applications, and URLs.
- Patent-pending technology that operates with zero external data calls, ensuring data privacy.
- Logging capabilities to provide insights into user behavior and shadow AI tool usage.
- Seamless integration with existing data loss prevention (DLP) tools.
- Cost-effective alternative to enterprise browsers or restrictive blocking measures.