What is Credal?
Credal uses AI to ensure the utmost safety and security of users’ data. It eases the integration of various data sources with large language models (LLMs). This empowers enterprises to harness the power of AI without compromising data integrity.
The platform has a user-friendly interface that enables users to connect almost any data source to any LLM within five minutes. The tool mirrors data source permissions, masking sensitive data, and auditing every interaction. It ensures that data remains protected throughout the AI leveraging process.
The platform’s tools are pre-integrated with users’ data for security. Access policies are enforced, and sensitive information is masked. Users can use leading AI applications like GPT-4 32k and Claude. They can maintain control over usage and ensure data security and auditability.
Credal allows enterprises to manage access controls for both internal and external AI tools from one platform. Audit logs offer transparency in data sharing, and sensitive data redaction ensures compliance with privacy regulations.
The platform lets users set and enforce acceptable use policies. It sends warnings or blocks usage that falls outside the prescribed guidelines. This works with mirrored permissions syncing across platforms like Google documents, Confluence pages, and Slack channels. This helps LLMs get the relevant context while respecting organizational permissions.
The tool can be deployed in the cloud or on-premise. It offers BYOI options that integrate with existing investments in AI infrastructure. This tool integrates with enterprise-friendly authentication protocols such as SAML 2.0 and SCIM. This ensures a frictionless user experience while maintaining robust security standards.
Credal offers enterprise administration features such as cost controls, usage analytics, and AI adoption benchmarking. These features empower organizations to optimize their AI deployment strategies. It also ensures backward compatibility with OpenAI and Anthropic. Users can integrate its security benefits into their existing applications with minimal code changes. Users can use official client libraries to build apps while safeguarding data integrity and security.
Allows users to connect nearly any data source to large language models.
The tool mirrors data source permissions, masks sensitive data, and maintains comprehensive audit logs for every interaction.
Users can chat with AI, build custom applications, and utilize AI applications like GPT-4 32k and Claude.
It can be deployed in the cloud or on-premises, giving enterprises flexibility and control over their data.
Provides detailed audit logs on all data shared with AI providers.
The tool enables the redaction of sensitive keywords, phrases, or entire categories of data.
Automatically tracks and syncs permissions for documents, pages, or channels in Google Docs, Confluence, or Slack.
Interoperates with existing infrastructure, including cloud and Kubernetes clusters.
Credal can handle order tracking, returns, and account updates without human intervention.
Helps increase customer satisfaction by providing a more convenient customer service experience.
Offers cost controls per API token, usage analytics, AI adoption benchmarking, and more.
Plans | Monthly Cost |
---|---|
Explore | – |
Teams | $500/mo |
Enterprises | Custom |
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