Blog

Making Sense of Unstructured Intelligence Data Using NLP By Zainab Danish, Data Scientist on March 13, 2019 The push towards structuring threat intelligence data has gained new momentum with the proliferation of new intelligence sharing ontologies like ... Read More

TruSTAR To Present Blockchain Research Tool At ShmooCon 2019 By TruSTAR on December 12, 2018 TruSTAR is headed to ShmooCon 2019! As a follow-on to our blockchain research debut at Black Hat and DEF CON 2018, TruSTAR will present a second ... Read More

TruSTAR To Speak At BSides SF Ahead of RSA 2019 By TruSTAR on December 04, 2018 TruSTAR’s Data Science team is headed to Security BSides SF 2019! As we prepare our research presentation, here’s some more info about our abstract ... Read More

CryptoLocker Deep-Dive: Why We Use Bitcoin Addresses as an IOC By Nicolas Kseib, Lead Data Scientist on August 09, 2018 Follow the Money: Tracking Adversaries Through the Blockchain WhiteRabbit is an open source research tool we're debuting at Black Hat and DEF CON ... Read More

Unveiling Our New Blockchain Research Tool at Black Hat Arsenal and DEF CON Recon Village 2018 By TruSTAR on August 06, 2018 Las Vegas, Aug. 06, 2018 (GLOBE NEWSWIRE) — The data science team behind TruSTAR will be presenting the only blockchain research tool selected for ... Read More

Introducing TruSTAR’s New Source Scoring Model By Nicolas Kseib, Lead Data Scientist on March 29, 2018 Having confidence in your intelligence sources is essential to running successful security operations. But measuring the effectiveness of how your ... Read More

Our New Automated Whitelisting Capability By Nicolas Kseib, Lead Data Scientist on February 20, 2018 False positives waste time. At TruSTAR, our mission is to empower analysts to make smarter decisions faster about where to focus precious ... Read More

An Introduction to Machine Learning Through URL Whitelisting By Nicolas Kseib, Lead Data Scientist on August 14, 2017 By Nicolas Ksieb and Ivan Aguilar Read More

The Machine Learning Model Behind Project Splinter By Nicolas Kseib, Lead Data Scientist on July 26, 2017 In this project summary, we walk you through how we built the machine learning algorithms behind our RAT prediction tool Project Splinter.  Read More

The 5 Most Common Pitfalls of Cyber Threat Indicator Scoring & How to Solve Them [PART 2] By Shimon Modi, Head of Product on July 13, 2017 In this conclusion of a two-part series, Director of Product Shimon Modi explains how TruSTAR calculates scores that help analysts determine IoC ... Read More