The Terbium Matchlight solution operates on all types of digital assets, from source code to documents, resulting in datasets that are extremely complex.
This challenging data environment means that Terbium needs a Hadoop platform that is more efficient, more stable, and more reliable than the traditional, Java-based open source distributions. Terbium chose the MapR Distribution including Apache Hadoop to deploy its data fingerprinting technology across a cloud-scale analytic platform. Since MapR technology is implemented in native code rather than through a Java virtual machine, its Hadoop distribution is significantly more resource efficient.
The startup is piloting its technology with half a dozen customers at F500 companies in financial services, healthcare, manufacturing and technology. Early results from their pilots look promising. In a single day, Matchlight identified 30,000 new stolen credit cards and 6,000 newly compromised email addresses for sale on the dark web.
Terbium Labs Leverages MapR to Help Power Discovery of Stolen Data on the Dark Web
Hear the CEO of Terbium Labs describe their use case and how they utilize Spark on the MapR platform. Watch