San Diego, CA (PRWEB) June 30, 2015
CyberFlow Analytics, an emerging leader in in the Cyber Security market with its Security Behavior Analytics solution, today announced it is partnering with MaxMind to enable geolocation for cyber breach activity in the enterprise and Industrial Internet of Things (IoT). Enterprises must be able to track behavioral anomalies not only between devices but also between internal and external locations as part of their cyber security practice. Geolocation is an important aspect to the intelligence of Anomalytics™, a key security technology which is the foundation of CyberFlow products that enables advanced analytics, intelligence and visualization for large scale enterprise and Industrial IoT.
Jennifer Sessler, Director of Business Development at MaxMind commented,“The issue of cyber security remains one of the biggest threats to organizations and governments around the world. By identifying the geographic location of remote IP addresses, MaxMind has helped thousands of organizations gain visibility into their communications network. Working with CyberFlow Analytics allows us to further extend the reach and value of our GeoIP® databases and services deeper into international cyber security applications. CyberFlow clients, will join the more than 5,000 organizations worldwide using our GeoIP products and services, including 79 of the top 100 web properties.”
Dr. Hossein Eslambolchi, former CTO/CIO of AT&T and now CEO of CyberFlow Analytics added “Our customers are keenly focused on where the incoming communications are geographically coming from. In one of our large smart city deployments for the Industrial Internet of Things, our customer requires visibility into where highly anomalous behaviors are connected. We need to be able to trace clusters of breach behaviors across not only across the internal locations of a city but to nation states and remote cities often associated with organized crime. More times than not, attacks are coming from regions of the world known to support organized crime and state sponsored espionage. Our partnership with MaxMind will provide that laser accuracy to enable enhanced geo-intelligence for our customers.”
CyberFlow Analytics will embed the MaxMind GeoIP2 database within the latest version of it’s FlowScape™ product and tightly integrate the anomalytics intelligence to enable greater levels of network behavior anomaly detection. Visualization is a critical component of a cyber-security tool as well as the advanced analytics and intelligence that drives the ability to detect strange behaviors and detect new forms of malware never seen before in the industry. Continuous Anomaly detection is a foundational element for Cyber Resiliency and a core pillar in large enterprise and government threat assessments services, Security Operations Center (SOC) and taking a more pro-active posture for incident response. CyberFlow Analytics delivers their network behavioral security monitoring solution through a channel of global Managed Security Service Providers (MSSPs).
Founded in 2002, MaxMind is an industry-leading provider of IP intelligence and online fraud detection tools. Thousands of organizations of all sizes rely on MaxMind’s GeoIP data for the purposes of delivering relevant content and ads, performing analytics, enforcing digital rights, efficiently routing Internet traffic, and more. MaxMind’s minFraud ® service leverages GeoIP data along with IP, email, and device reputations to help its network of 7,000 online businesses prevent fraudulent online transactions and account registrations.
For more information, visit http://www.maxmind.com
About CyberFlow Analytics
CyberFlow Analytics develops FlowScape software that delivers continuous cyber security threat assessment and monitoring at scale using unsupervised machine learning and behavioral analytics. CyberFlow technology is focused on detection of Advanced Persistent Threats (APTs) and cyber breaches for the enterprise security market and the Industrial Internet of Things. The company has termed the expression “anomalytics” to describe real-time network anomaly detection using advanced analytics, intelligence and visualization. The company was founded and is managed by an experienced management team, which includes Dr. Hossein Eslambolchi, Tom Caldwell and Louie Gasparini . CyberFlow Analytics is a privately held company headquartered in San Diego, California with offices in Silicon Valley. For more information, please visit http://www.cyberflowanalytics.com
For CyberFlow Analytics:
Tom Caldwell, +1-858-737-3642
Jennifer Sessler, 617-500-4493 ext 815