Rule Deployment into a Data Plane
How It Works Uncoder AI supports native integration with Microsoft Sentinel, Google SecOps, and Elastic Stack, enabling users to deploy…
Threats
Rule Customization On The Fly
How It Works Uncoder AI’s on-the-fly customization capability enables security teams to instantly adapt rules and queries to their specific…
Save Detection Code & Metadata to Custom Repositories
How It Works This feature allows detection engineers to store detection rules in their own repositories—alongside all intelligence, MITRE mapping,…
Search Threat Detection Marketplace from Uncoder AI
How It Works Uncoder AI integrates native search across the entire SOC Prime Platform, including all repositories accessible via Threat…
ToyMaker Activity Detection: Initial Access Brokers Compromise Hosts in Critical Infrastructure Organizations via SSH and File Transfer Utilities
In recent years, the surge in cyber-attacks has been fueled by the expansion of Initial Access Broker (IABs) that trade…
Convenient Detection Code Editor for Uncoder AI
How It Works Uncoder AI acts as a modern integrated development environment (IDE) tailored for detection engineers. At its core…
Supercharge Detection Content into Roota Format with AI
How It Works Platform-specific rules or queries—such as those written in Splunk, Sentinel, or other supported formats—can now be automatically…
Translate from Sigma into 48 Languages
How It Works Uncoder AI makes it easy to translate Sigma rules into detection formats used by 48 different platforms.…
Uncoder AI Visualizes Threat Behavior with Automated Attack Flow
How It Works Understanding the steps adversaries take during an attack can be critical for detection logic and defense prioritization.…
Uncoder AI Automates MITRE ATT&CK Tagging in Sigma Rules
How It Works The MITRE ATT&CK framework is the gold standard for structuring detection logic by adversary techniques. But tagging…