Utilizing cloud platforms while making sure all sensitive data is not leaving the network may pose as a challenge for companies that have DLP concerns. Prevent Sensitive Data From Being Uploaded To The Cloud Behavioral analysis - determining if attempted activities are typical for a particular user of the network, if they’re atypical, or even impossible.Machine learning – combining self-learning, feedback loops, scoring algorithms, and statistics.Rich Data analysis – applying advanced analytics to assess fraud patterns.The Risk Engine is fully integrated with SphereShield’s other principal functions, including access control, compliance, and threat protection capabilities. The Risk Engine is a key module residing within the SphereShield product suite.

Deploying the Risk Engine reduces exposure, protects privacy, detects impersonation, lowers occurrence of unwarranted access, and identifies trends in fraudulent activities as they occur. Risk Engine takes action to monitor, alert as atypical or suspicious, and-where necessary-block network traffic when a high likelihood of exposure risk, fraudulent activity,or intrusive intent have been detected. The ability to determine which transactions to allow through, which ones to monitor, and which ones to deny, is crucial in protecting against fraudulent communication attempts. Performing risk assessment of online activities and rendering intelligent decisions based on that knowledge, are essential in securing a corporate network. The Risk Engine plays a key role in governing access to a network, helping ensure accountability in business communication. The Risk Engine preforms security assessments based on data such as geo-location and profiling of user behavior.

SphereShield’s Risk Engine module employs a set of tools designed to provide significant assurance as to the legitimacy of traffic entering the network.

Risk engine