Klarytee provides an encryption copilot and APIs to automatically protect sensitive data shared across SaaS, cloud, and AI applications. The platform enforces zero-trust security to prevent data exposure to unapproved generative AI tools and unauthorized SaaS usage. This enables organizations to securely share data across their ecosystem while maintaining compliance and productivity.
Funding
$870K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations face challenges in securing sensitive data when using SaaS applications, cloud services, and generative AI tools, leading to potential compliance breaches and unauthorized access. Employees often upload sensitive company data to unapproved AI applications, and a significant portion of enterprise SaaS usage is not sanctioned by IT or security teams. This makes it difficult to maintain control over data as it is shared across various platforms and with external parties.
Solution
Klarytee offers a data-centric security solution that integrates encryption and access controls directly into data, ensuring its protection regardless of location or application. The platform acts as an encryption copilot, automatically protecting sensitive data shared with any SaaS, cloud, or AI application. It enables a zero-trust architecture for SaaS by preventing exposure of sensitive data to unapproved applications, while still allowing users to leverage the productivity benefits of these tools. Klarytee facilitates secure data sharing with customers, supply chains, and employees, improving collaboration and productivity without compromising security or compliance.
Target Audience
Klarytee targets organizations that need to secure sensitive data while utilizing SaaS applications, cloud services, and AI tools, including legal firms, financial institutions, and enterprises with complex supply chains.
Features
- Encryption copilot for automated data protection across various platforms
- Integration with SaaS, cloud, and AI applications
- Granular access control to manage data permissions
- Zero-trust architecture implementation for SaaS environments
- Policy setting, integration, enforcement, and compliance monitoring capabilities
- Word add-in for securing data directly within documents