San Diego, CA (PRWEB) September 29, 2015
CyberFlow Analytics, an emerging leader in the Cyber Security market with its Security Behavior Analytics solution FlowScape™, announces a new cloud-based Security-as-a-Service (SaaS) for Continuous Threat Monitoring. The new security service will be offered as a big data Anomalytics™ platform through a channel of Managed Security Service Providers (MSSP). Anomalytics is defined as a unique combination of big data predictive analytics, threat intelligence and advanced visualization to detect high risk anomalies associated with security breaches. New forms of malware are emerging in the category of Advanced Persistent Threats (APTs) that enter into the enterprise through insider phishing attacks and then the perpetrators set up shop in the network and systems to steal information, money and endanger critical infrastructure. FlowScape is specifically designed to detect anomalous behavior through machine learning analytics models and highlight infected devices communicating on the inside of the network, over VPN, or through infected mobile devices (BYOD). The new FlowScape SaaS Cloud will complement the existing FlowScape on-premise deployment model to deliver a new security service to enterprise and the Industrial Internet of Things (IoT).
“The new FlowScape SaaS Cloud will enable our company to offer our small to medium sized managed security customers a new breed of continuous threat monitoring. The new streaming security analytics service will complement and integrate into our existing portfolio of security services including proactive incident response and better visibility for threat assessments” stated Mike Coomes, Senior Vice President of CyberUnited and former Internet Governance and International Cyber Security Program Manager at the Office of the Department of Defense CIO. “Big Data Anomaly detection has become a key compliance requirement for financial services. This partnership enables CyberFlow to manage the Security Analytics FlowScape Cloud while we can focus on our core competency of security expertise. The combined partnering arrangement gives us a competitive advantage over other managed security providers”
The FlowScape SaaS Cloud will drive growth for CyberFlow Analytics in both the enterprise and Industrial Internet of Things (IoT) market. Their unique approach to security analytics through network traffic analysis listens to only packet headers on the core of a network. No confidential or sensitive information is accessed or stored in the FlowScape system, only behavioral statistics. In this way the software will machine learn normal behavior of both encrypted and unencrypted communications, also machine learn both IT and Machine-to-Machine (M2M) traffic supporting the convergence Operational Technology (OT) and traditional enterprise IT. Once normal behavior is modeled, the security analytics system can identify abnormal behavior and through added threat intelligence and advanced visualization identify the insider risk/threat and the low and slow sophisticated attacks.
“The FlowScape system is a proven cyber security solution and has been protecting one of the largest Smart Cities in the US for over the past year. This city has over 22 different domains to protect including critical infrastructure, finance, waste water management, critical law enforcement and fire services. The Anomalytics approach to continuous threat monitoring has detected in real-time many employee and vendor infected devices including BYOD and VPN access. More importantly FlowScape has significantly reduced Mean-Time-to-Detect (MTTD) sophisticated organized crime and nation state cyber-attacks within the city networks” stated Tom Caldwell, President of CyberFlow Analytics. “We are extending this new cyber security technology through a channel of our Managed Security Service Provider (MSSP) partners through the new FlowScape SaaS Cloud.”
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 (IoT). The company has termed the expression “anomalytics” to describe real-time network anomaly detection using predictive analytics, threat intelligence and advanced visualization. The company was founded and is managed by an experienced management team, which includes former CTO of AT&T Dr. Hossein Eslambolchi and Tom Caldwell, former executive at Cisco Systems. 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