Release Date: March 10, 2025

We are excited to unveil the "Generic Secret Enricher V1", a machine learning model designed to enhance our capabilities in generic secret detection. This innovative model analyzes the entire context of a document, identifying the company and category associated with a secret, thereby providing meaningful insights to help users understand the origin and type of a discovered secret.
New Features
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Contextual Analysis: Upon detection of a generic secret, our platform analyzes the full document context to determine the associated provider or category of a secret.
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Efficient Classification: This feature reduces the need for manual classification, enabling users to quickly comprehend the source and nature of a discovered generic secret.
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New Filters: We've introduced three new filters - Provider, Category, Family - to help identify critical generic incidents. To use these, filter your incidents by the "Generic" type, then apply a combination of these filters.
Goals
Our long-term goal is to provide you with actionable insights, prioritize their generic incidents, and improve their remediation efforts.
Usage
To use the new filters, simply filter your incidents by the "Generic" type, then apply a combination of the Provider, Category, and Family filters. This will help you identify the most significant or critical generic incidents, such as those classified under "Data Storage" or linked to the provider "Postgresql".
Fixes
- Jira Cloud Issue Tracking Integration: Resolved an issue where integration entered an invalid state after being uninstalled.
- Microsoft Teams Alerts for Security Incidents: Resolved an issue where the wrong team was displayed during configuration.