UseCloak.ai

Automatically detects and redacts personally identifiable information (names, addresses, SSNs, medical record numbers, etc.) from user inputs before they are sent to OpenAI's servers. The masked data is processed by ChatGPT, then results are unmasked before returning to the user.

Provides a ChatGPT wrapper that meets HIPAA requirements by ensuring protected health information (PHI) never reaches OpenAI unencrypted or unmasked. Includes audit trails and compliance documentation for healthcare organizations.

Implements granular access controls based on user roles, allowing administrators to define who can access conversations, audit logs, and configuration settings. Supports role definitions like admin, user, auditor, etc.

Monitors conversations in real-time to detect and flag potential security issues, policy violations, or suspicious patterns. Can trigger alerts or block conversations based on configurable rules.

Automatically enforces data retention policies by deleting conversations and associated data after a specified period. Supports different retention periods for different data types or user roles.

Ensures conversations comply with GDPR by masking personal data, providing data processing transparency, and enabling data deletion requests. Maintains audit trails showing how personal data is handled throughout the conversation lifecycle.

Provides a REST API that wraps ChatGPT functionality, allowing developers to integrate privacy-enhanced AI capabilities directly into existing applications without replacing entire chat infrastructure or workflows.

Records all conversations, data masking operations, and API calls in detailed audit logs that can be reviewed for compliance purposes. Logs include timestamps, user identities, masked/unmasked data states, and system actions.

Automatically generates compliance reports from audit logs that document data handling, masking operations, and regulatory adherence. Reports can be customized for different regulatory frameworks (HIPAA, GDPR, SOC 2, etc.).

Allows administrators to define custom patterns and rules for detecting personally identifiable information specific to their industry or use case. Rules can be updated without code changes and applied across all conversations.

Encrypts all data in transit between the user's application and UseCloak servers, and between UseCloak and OpenAI. Uses industry-standard TLS/SSL encryption to prevent interception of sensitive information.

Ensures that conversations and data from different organizations or users are completely isolated from each other. Each tenant's data is stored separately and cannot be accessed by other tenants, even in case of system compromise.

Stores and manages conversation history with privacy controls, allowing users to retrieve past conversations while maintaining data masking and access controls. Supports conversation search, filtering, and selective deletion.