
Credal
Credal ensures AI adoption in enterprises is secure.
AI SecurityGenerative AIData Protection
Introduction
Credal is a platform that provides a safe way for enterprises to leverage AI. It allows users to use their favorite AI applications while ensuring data protection. Credal's APIs, secure chat UI, and Slack bot come with pre-integrated data and enforce access policies, sensitive data masking, and acceptable use policies in source systems. The platform provides a secure environment for enterprises to adopt AI securely.
Key Features
Walk-up usable secure chat UI
Secure Slack bot
Point and click data connectors
Access control and security enforcement
Sensitive data redaction
Automatically enforced acceptable use policies
Fully mirrored permissions syncing
Infrastructure interoperability
SAML/SCIM enterprise-friendly authentication
Enterprise administration features
Frequently Asked Questions
What is Credal?
How to use Credal?
What security features does Credal provide?
How does Credal ensure data privacy?
Can Credal be integrated with existing infrastructure?
What are the benefits of using Credal for enterprises?
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Use Cases
- Redacting sensitive data before sharing with AI providers
- Enforcing acceptable use policies for AI tools
- Managing permissions and access to Google documents, Confluence pages, and Slack channels
- Building custom applications using secure APIs
- Deploying Credal in the cloud or fully on-premise
How to Use
To use Credal, enterprises can start by requesting a demo to understand its capabilities. The platform offers a walk-up usable secure chat UI, Slack bot, and point-and-click data connectors, allowing users to start deriving value from day one. Enterprises can define, enforce, and audit access using Credal's security controls. They can manage policies for both internally built and externally procured AI tools in a single place. Developers can build custom applications using secure APIs. Credal can be deployed either in the cloud or fully on-premise, providing flexibility to enterprises. It also offers options for hosting large language models within the enterprise's network.