21CT Announces its Latest U.S. Patent for Advancing Big Data Security

The latest patent describes technologies for converting network data from multiple sensors into graph form

AUSTIN, TEXAS— Oct. 31, 2012 — 21CT, Inc., a leader in data analytics and visualization, today announced that the United States Patent and Trademark Office has issued U.S. Patent 8,266,697, which extends 21CT's intellectual property portfolio relating to the comprehensive use of graph matching for network security.“The patented technologies in LYNXeon allow analysts to discover attacks that they cannot easily see with other tools. This greatly enhances their security posture.” -Dr. Thayne Coffman, 21CT Chief Science Officer These patents describe a graph matching intrusion detection system for converting network data from multiple sensors into a graph representation, and technologies for manipulating the graph to allow an investigation of the data. This latest patent addresses data collection, fusion, and mapping technologies that can be used for putting the data into graph form, while a previously issued and complementary patent (U.S. Patent Number 7,624,448) describes algorithms that let an analyst exploit and manipulate these mappings to detect and prevent network attacks. These patents describe core technologies in LYNXeon™, the flagship big data security analytics solution from Austin-based 21CT.

Thayne Coffman, 21CT Chief Science Officer and the inventor of the latest patent, explains that, "These technologies allow a network security analyst to quickly and efficiently find patterns of activity on their network that aren't discernible with other technologies or tools. This is tremendously helpful to them in detecting advanced threats that may use a combination of attack modes and access points. Simply put, the technologies described in the patent allow analysts to discover attacks that they cannot easily see with other tools. This greatly enhances their security posture."

The latest patent describes extracting and combining data from multiple security sensors. The result is a mathematical graph representation of the devices on the network and the activity occurring at and between these devices. This representation can then be used by graph theoretic pattern matching algorithms (such as those described in 21CT Patent Number 7,624,448) to detect complex attacks.

21CT has a long history of providing innovative software products and solutions for the challenge of harnessing big data to combat security threats. We do this by leveraging over a decade of experience with the military and intelligence communities analyzing evidence of bad behavior in big data. This latest patent continues that long history, and was developed under funding from the Army Research laboratory.

21CT's intellectual property portfolio now consists of seven issued patents and five pending patents. You may view all these patents at 21ct.com/patents