Credal.ai

Credal provides a secured AI operational platform, specifically tailored to protect your data ecosystem. Users can run AI programs with confidence as all interactions are logged, sensitive data masked, and granular audit logs insured. Credal ensures additional data security by auto-enforcing acceptable use policies and mirroring the source permissions. This platform can be used in the cloud or fully on-premises and integrates seamlessly with your already existing investments.

Features

• Secured Data Handling: Credal provides automatic sensitive data redaction and maintains a record of any alterations for effortless backtracking. Composite features like Mask Sensitive Data and Data integrations with mirrored source permissions work in harmony to make data processing more secure.
• Granular Audit Logs and Auto-enforced Policies: Credal allows detailed audit logs on all data shared with the AI providers. It also lets you define acceptable use policies for your enterprise, triggering warnings or blocks for any deviation.
• Flexible Deployment and Integration Options: Credal can be deployed in the cloud or on-premises and can integrate with your existing investments like Azure OpenAI, AWS Bedrock, ChatGPT Enterprise, and others.
• Developer Friendly: Backward compatibility with OpenAI & Anthropic allows developers to add Credal’s security benefits to applications, without writing redundant pieces of code.

Use Cases:

• Enterprise-Level Data Protection: Credal can be used by enterprises to assure data security during the deployment of AI applications. It tracks who has access to each document and respects the organization's source system permissions.
• Secure AI Adoption: Companies can speed up their AI adoption with Credal, leveraging its seamless integration and advanced security features to build applications on top of enterprise data without compromising safety.

Credal is an essential tool for companies looking to leverage AI while maintaining robust data protection. Its features, integration capabilities, and flexibility make it a critical platform in a modern data-centred enterprise.