Credal

What is Credal?

Credal.ai is a tool developed to enhance data security while integrating AI applications within a business environment. It ensures data security through various features like automated enforcement of access policies, masking sensitive data, granular audit logs, and synchronization of permissions with source systems like Google Drive and Confluence. Additionally, Credal supports developers by providing secure APIs for building custom applications while respecting data security regulations. The tool allows for the integration of popular AI applications like GPT-4 32k and offers options for full on-premise deployment, ensuring sensitive data stays within the network .

Who created Credal?

Credal was created by Ravin Thambapillai and Jack Fischer. It was launched on March 13, 2023. Ravin Thambapillai, the co-founder and CEO, has a background in building AI-powered systems at Palantir and leading teams at major companies like Google. Jack Fischer, the co-founder and CTO, has experience in applying AI in various industries like air travel and healthcare while at Palantir and H1.

What is Credal used for?

• Enforcing access policies
• Masking sensitive information
• Automating enforcement of access policies
• Integrating with external data sources
• Supporting developers in maintaining data security
• Redacting sensitive data before leaving the organization
• Syncing permissions with source systems
• Controlling usage of AI apps
• Building custom applications on secure APIs
• Providing comprehensive audit logs
• Unlimited queries
• Masking sensitive data
• Audit logging for data shared with AI providers
• Redaction of sensitive keywords and phrases
• Maintaining MSAs with AI providers
• Permissions synchronization with source systems
• Masking all types of sensitive data
• PII and sensitive data redaction
• Audit logging
• Chat GPT UI access
• Secure chat UI
• Automatic redaction of sensitive data
• Integration with Google Docs, Sheets & Drive
• Native Slackbot
• RBAC - Admins & Users
• Enterprise data connection

Who is Credal for?

• Developers
• Legal professionals
• Engineer
• Legal Officer
• Legal officers
• Engineers
• Data scientists

How to use Credal?

To use Credal effectively, follow these steps:

1. Deployment: Credal can be fully deployed on-premise, ensuring data stays within the network and supporting existing investments in cloud services like Azure and AWS.

2. Integration: Credal offers integrations with popular AI applications like GPT-4 and Claude. It supports seamless use with tools such as Google Drive, Confluence, and Slack.

3. Data Security: Credal ensures data security by automating access policy enforcement, redacting sensitive data, and syncing permissions with source systems like Google Docs and Confluence. It also generates granular audit logs for transparency.

4. Application Building: Developers can utilize Credal to build custom applications securely with its APIs. It provides drop-in replacements for popular AI APIs, enabling the development of applications on enterprise data securely.

5. Operational Control: Enterprises can control AI app usage by defining, enforcing, and auditing access policies through Credal. This allows management of both internally developed and externally procured AI tools in one central location.

6. Redaction and Permissions: Credal automatically redacts sensitive data before it leaves the organization and syncs permissions with source systems. This ensures data security and relevant context for Large Language Models (LLM).

7. User Feedback: Existing users like Will from Latchel and Aaron from Arena AI praise Credal for its accuracy in capturing notes from meetings and aiding in coordinating strategy and operations while maintaining data security.

By following these steps, users can effectively utilize Credal to secure sensitive data, integrate AI applications, and maintain data security and compliance within their enterprise.