If you’re already missing SuriCon and the Suricata community - we certainly are -, we have good news! 
To wrap up this year, next Thursday, 3 PM UTC, we’ll hear a bit on Rule Analytics: Advancing IDS Management with Exploratory Machine Learning, as we have our last webinar of 2024.
Ignacio Arnaldo (Nacho), from Corelight, will share their approaches and findings using Machine Learning to improve rule sets and IDS management.
Save the date:
- December 5th (Thursday)
- 3 PM UTC
To attend, one must register via Zoom.
Register now: Webinar Registration - Zoom
The management of Intrusion Detection Systems (IDS) is a critical aspect of network security that has become increasingly complex due to the proliferation of rules and the rapid pace of their creation, often resulting in extensive and intricate rule sets. In this webinar, Ignacio Arnaldo presents an innovative approach that applies exploratory machine learning techniques to simplify the management of IDS rules, with a specific focus on the Suricata Emerging Threats Open rule set.
A significant portion of rules exhibit similarities sufficient to be consolidated as grouped units, with substantial clusters identified that support the streamlining of management tasks. The webinar will dive into some approaches that were used to enhance IDS rules management, using Machine Learning to group similar rules, thus reducing the cognitive load on content managers and minimizing the number of decisions required for deployment and alerting.
Don’t miss this Suricata webinar if you’re interested in approaches to enhance both the efficiency and efficacy of content managers’ decision-making processes for rule sets for IDS.
Ignacio Arnaldo works as a Director of Data Science at Corelight, a company in the network detection and response space with strong open-source roots. His focus is to use machine learning to solve network security challenges (and there are quite a few!). He’s worked as a researcher at MIT’s Computer Science and AI Lab and experienced the early-stage startup life at PatternEx, where he helped develop an ML-based threat detection product.
Register via Zoom: Webinar Registration - Zoom