Features
- Advanced Data Security: Credal automates sensitive data redaction, keeping a comprehensive record of alterations for effortless backtracking. Features like Mask Sensitive Data and Data integrations with mirrored source permissions work harmoniously, elevating data processing security.
- Granular Audit Logs and Policy Enforcement: Enjoy detailed audit logs on all data shared with AI providers. Define acceptable use policies for your enterprise, with Credal triggering warnings or blocks for any deviations, ensuring robust security measures.
- Flexible Deployment and Integration: Credal adapts to your needs, offering deployment in the cloud or on-premises. Seamlessly integrate with existing investments such as Azure OpenAI, AWS Bedrock, ChatGPT Enterprise, and more, ensuring a cohesive and secure data environment.
- Developer Friendly: Backward compatibility with OpenAI & Anthropic enables developers to integrate Credal’s security benefits into applications without redundant code, ensuring a developer-friendly experience.
Use Cases:
- Enterprise-Level Data Protection: Empower enterprises with Credal to ensure data security during AI application deployment. Track document access and respect organizational source system permissions for robust data protection.
- Safe AI Adoption: Accelerate AI adoption with Credal, leveraging its seamless integration and advanced security features to build applications on enterprise data without compromising safety.
Credal stands as an indispensable tool for companies aiming to harness the power of AI while prioritizing robust data protection. Its array of features, integration capabilities, and deployment flexibility make it a critical platform in the modern data-centric enterprise.
