Dark Web Monitoring Solution, Matchlight, Named Overall Fraud Prevention Solution of the Year
BALTIMORE – Sept. 26, 2018 – Dark web data intelligence company, Terbium Labs, today announced it has received the “Overall Fraud Prevention Solution of the Year” award from CyberSecurity Breakthrough, an independent organization that recognizes the top companies, technologies, and products in the global information security market today. This is the second-consecutive year Terbium Labs has won this distinguished award, receiving the “Data Leak Detection Solution of the Year” award in 2017.
The mission of the CyberSecurity Breakthrough Awards is to honor excellence and recognize the innovation, hard work and success in a range of information security categories, including Cloud Security, Threat Detection, Risk Management, Fraud Prevention, Mobile Security, Email Security and many more. This year’s program attracted more than 3,000 nominations from more than 14 different countries throughout the world.
Terbium Labs’ private and automated approach to dark-web monitoring, risk reporting, and account protection is unrivaled in the marketplace. Matchlight, the world’s only fully automated, fully private dark-web monitoring system and sophisticated collection infrastructure, is redefining how security teams assess their risk exposure and keep high-value assets safe. From SMBs to Fortune 500 companies, Terbium Labs’ managed service and raw data feeds are shifting the balance of power by providing organizations with the automated intelligence and human analysis to quickly identify and rapidly counter information theft and fraud.
“In today’s world one unfortunate fact is that our private data is at risk at all times, and we have seen a number of high-profile news headlines about various forms of fraud and privacy breaches in the last couple of years specifically that prove that fact,” said James Johnson, managing director, CyberSecurity Breakthrough. “With Terbium Labs’ Matchlight solution, the company is fully automating the difficult task of monitoring the dark web for lost or stolen data, shortening breach detection times to minutes and allowing customers to quickly and privately identify and counter information theft and fraud. We recognize the Terbium Labs team for their stellar efforts in combating fraud with their innovative Matchlight solution, and we congratulate them on their 2018 CyberSecurity Breakthrough Award designation.”
ABOUT CYBERSECURITY BREAKTHROUGH
Part of the Tech Breakthrough Awards organization, the CyberSecurity Breakthrough Awards program is devoted to honoring excellence in information security and cybersecurity technology companies, products and people. The CyberSecurity Breakthrough Awards provide a platform for public recognition around the achievements of breakthrough information security companies and products in categories including Cloud Security, Threat Detection, Risk Management, Fraud Prevention, Mobile Security, Web and Email Security, UTM, Firewall and more. For more information visit CyberSecurityBreakthrough.com.
ABOUT TERBIUM LABS
Terbium Labs gives organizations unprecedented visibility into their exposure on the dark web. Leveraging Matchlight, the world’s most comprehensive, continuous and fully private dark-web data monitoring system, along with a team of on-demand analysts to assist with incident response and investigation, Terbium Labs provides the real-time intelligence, context, and scale needed to prevent fraud, mitigate risk, and ensure round-the-clock account protection. Featuring its patented data-fingerprinting technology that monitors for specific data without requiring it be shared with Terbium Labs or stored anywhere, and built on top of a state-of-the-art web crawler, Matchlight is available as a managed service for corporate data exposure or as a data source for payment card or other unstructured data. Learn more about Terbium Labs’ approach to dark-web monitoring, breach detection, and fraud prevention by visiting www.terbiumlabs.com or on Twitter @TerbiumLabs.
April H. Burghardt