Credal.ai is an AI solution designed to safeguard sensitive information while utilizing AI applications within a business. It delivers a secure method for deploying popular AI tools like ChatGPT, guaranteeing that confidential data and protected information like PII remain safe.
The tool provides APIs, a secure chat interface, and a Slack integration that works smoothly with your data repositories, including Google Drive, Confluence, and Slack.
It automatically applies access controls, obscures sensitive information, and ensures adherence to acceptable use policies. Credal enables businesses to define, implement, and monitor access to AI tools—whether created internally or acquired externally—from a unified interface.
It empowers developers to create custom applications on protected APIs while adhering to source permissions, producing automated audit trails, and masking sensitive data.
For enhanced security, Credal can be deployed entirely on-site, including the large language models themselves. This ensures data never leaves the network and maximizes investments in platforms like Azure OpenAI and AWS Bedrock.
The tool offers detailed audit logs that track data shared with AI providers, providing insight into who is sharing what information and the relevant terms.
It also features automatic redaction of sensitive keywords and phrases before data leaves the organization and syncs permissions with source systems such as Google Docs and Confluence pages.
Credal is favored by developers because it provides direct replacements for OpenAI and Anthropic APIs, enabling them to develop applications using enterprise data while maintaining data protection.
Used by prominent companies, Credal ensures the secure integration of AI within an enterprise, offering the essential security features and controls to safeguard sensitive data while capitalizing on the advantages of AI applications.
Includes API offerings
Comes with a secure chat UI
Integrated with a Slack bot
Cloud deployment is not available
Does not offer support for multiple languages
Relies on Azure and AWS

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