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About Credal
Credal.ai is an AI tool designed to protect sensitive data while leveraging AI applications within an enterprise. It provides a secure solution for utilizing popular AI apps such as ChatGPT, ensuring that business secrets and protected data like PII remain secure. The tool offers APIs, a secure chat UI, and a Slack bot that integrates seamlessly with your data sources such as Google Drive, Confluence, and Slack. It automatically enforces access policies, masks sensitive data, and ensures acceptable use policies are followed. Credal allows enterprises to define, enforce, and audit access to AI tools, whether internally built or externally procured, all from a single place. It enables developers to build custom applications on secure APIs while respecting source permissions, generating automatic audit logs, and masking sensitive data. For increased security, Credal can be deployed fully on-premise, including the large language models themselves, ensuring data never leaves the network and leveraging existing investments in platforms like Azure OpenAI and AWS Bedrock. The tool provides granular audit logs that track data shared with AI providers, offering transparency into who is sharing what data and the applicable terms and agreements. It also offers automatic redaction of sensitive keywords and phrases before data leaves the organization and syncs permissions with source systems like Google documents and Confluence pages. Credal is popular among developers as it offers drop-in replacements for OpenAI and Anthropic APIs and allows them to build apps on top of enterprise data while maintaining data security. Trusted by leading companies, Credal ensures the secure adoption of AI within an enterprise, providing the necessary security controls and features to protect sensitive data while leveraging the benefits of AI applications.
Pros
- API offerings
- Includes secure chat UIComes with Slack bot integration
- Pre-integrated with various data sources
- Automatic enforcement of access policies
- Sensitive data masker
- Supports custom application building
- Automatic audit log creation
- Data security with on-premise deployment
- Large language model support
- Detailed audit logs for data transparency
- Redaction of sensitive keywords or phrases
- Syncs permissions with source systems
Cons
- No option for cloud deployment
- Lacks multi-language support
- Dependent on Azure, AWSNo self-service troubleshooting features
- Limited data source integrations
- Specific to enterprise usage
- No individual user tier
- High reliance on APIs
- High learning curve for non-tech users