Secrets Detection
Secrets Vault
ENligthen has implemented commits and kept credentials and secrets secure. Let’s dive into their journey and discover their innovative approach.
"Probe helps us find secrets, clean them, and improve security with an intuitive dashboard."
Advanced Secrets Leak Detection
Probe scans source code repositories and various collaboration tools like Slack, Jira, Confluence, and Notion. This ensures comprehensive detection of credential exposure risks across day-to-day workflows, not just during development.
Probe detects 800+ types of credentials and automatically validates their validity with machine learning. This reduces false positives, allowing security teams to focus on genuine threats.
Beyond credentials, Probe leverages AI to detect sensitive data such as Personally Identifiable Information (PII). By using models optimized for natural language and code analysis, Probe achieves high accuracy in detection.
Multi-Authority Attribution-Based Encryption
Nebula separates attributes and roles to provide maximum flexibility: attributes are used to encrypt secrets and determine who can access them, such as developers on a specific team accessing an API key, while roles restrict access to features within the Nebula platform, defining how users interact with the system, from basic users to administrators.
Nebula is built with developers in mind, offering an intuitive command-line interface (CLI) for managing secrets quickly and efficiently, a modern UI/UX with a clean and easy-to-navigate dashboard for teams that prefer graphical interfaces, and simple onboarding to get started in minutes with straightforward setup and documentation.
Unlike traditional secret vaults, Nebula leverages decentralized authorities for enhanced security, reducing reliance on a single point of control to improve system resilience and providing a robust, scalable way to manage secrets across multiple teams and environments.