Data-Driven Threat Intelligence: Metrics on Indicator Dissemination and Sharing - by Alex Pinto & Alex Sieira
ThreatConnect - The Industry's Most Widely-Adopted Threat Intelligence Platform (TIP)
For the last 18 months, MLSec Project and Niddel collaborated to collect threat intelligence indicator data from multiple sources in order to make sense of the ecosystem and try to find a measure of efficiency or quality in these feeds. This initiative culminated in the creation of Combine and TIQ-test, two of the open source projects from MLSec Project. These projects have been improved upon for the last year, and are able to gather and compare data from multiple Threat Intelligence sources on the Internet.
Alex Sieira and his team have gathered aggregated usage information from intelligence sharing communities in order to determine if the added interest and "push" towards sharing is really being followed by the companies and if its adoption is putting us on the right track to close these gaps. He proposes a new set of metrics on the same vein as TIQ-test to help you understand what a "healthy" threat intelligence sharing community looks like.
To better illustrate the points and metrics, Alex will be conducting part of this analysis using usage data from some high-profile threat intelligence platforms and sharing communities that have been kind enough to contribute with usage data for this research.