Cremit enhances its platform security management level and detection accuracy. We are introducing RBAC for customized access control based on user roles and launching a beta version of our machine learning-based intelligent sensitive information detection.

✨ New Features

1. Introduction of Role-Based Access Control (RBAC): Define user roles such as Admin, Security Engineer, and Developer, and restrict data access rights and feature usage based on these roles to effectively support corporate security policies.

2. Machine Learning-based Sensitive Information Detection (Beta): Goes beyond simple string matching to understand context within code or documents (variable names, surrounding code, comments, etc.), identifying items highly likely to be actual sensitive information and reducing false positives. (Initially applied to specific types of sensitive information).

🛠️ Improvements

• AWS S3 Bucket Scanning (Sensitive Data Focused) Added (Backend First): Added backend capability to scan objects (files) within user-specified S3 buckets for stored sensitive data like API keys and passwords (UI integration to follow).

• Foundation for New Dashboard Widgets: Prepared the groundwork for adding widgets related to RBAC settings and ML detection status.

📣 What's Next? We are preparing SAML/SSO login support, an essential feature for enterprise environments, and UI integration for data store (S3) scan results.