Feedly Threat Intelligence now finds Suricata rules published across the open web, extracts them from the article, and makes them downloadable so you can easily import them into your own tooling.
Create an AI Feed that pairs the new Suricata Rules AI Model with your intelligence requirements to continuously collect relevant articles and reports containing Suricata rules from 5,000 vetted CTI sources and repositories.
In addition to Suricata rules, Feedly Threat Intelligence also identifies Splunk, Sigma, YARA, Snort, and KQL-based Hunting Queries for Microsoft Defender and Sentinel across open source reporting, covering network traffic inspection, file and malware matching, and log-based detection.
Suricata rules are just the start. Add any of detection rule AI Models to your AI Feed and automatically collect relevant Suricata, Sigma, YARA, Snort, Splunk, and KQL queries as they surface across open source reporting.
A Suricata rule is a signature that tells the Suricata engine what network traffic to watch for and how to respond. Each rule defines an action, a protocol, source and destination details, and the conditions that trigger a match. Analysts use them to detect suspicious or malicious activity moving across the wire.
Detection rules are scattered across vendor blogs, threat reports, GitHub repos, and researcher write-ups, which makes them time-consuming to track down manually. Feedly Threat Intelligence reads across open source reporting and surfaces the articles carrying Suricata rules, so you can find relevant ones in one place instead of searching site by site.
Add the Suricata Rules AI Model to your AI Feed, then pair it with other AI Models to narrow the results to the topics, threats, or malware families you care about. When Feedly finds an article with a Suricata rule, you can export the rule directly for tweaking or importing into your own tooling.
Yes. If a CVE has an associated Suricata rule, you can download it straight from Feedly Threat Intelligence’s CVE Insights Card and jump to the article that referenced it, so you get both the detection logic and the surrounding context.
Alongside Suricata, Feedly automatically identifies Splunk, Sigma, YARA, Snort, and KQL-based hunting queries for Microsoft Defender and Sentinel. Together these cover network traffic inspection, file and malware matching, and log-based detection.
Suricata and Snort share a similar rule syntax, and many rules are compatible between the two engines. The main differences come down to architecture: Suricata supports multi-threading and some additional protocol and file-handling features. Because Feedly Threat Intelligence recognizes both formats, you can collect rules for whichever engine you run.
Yes. Rules are exportable so you can drop them into your IDS, SIEM, or detection pipeline, or edit them first if you want to tune the logic to your environment.
It is worth reviewing any rule before you push it to production. Rules pulled from open reporting are a strong starting point, but tuning for your own network, traffic patterns, and false-positive tolerance will get you the best results.
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