Managed Detection and Response leader, Agile1, launches Predictive Analytics Risk Scoring to provide technology executives with the foresight to understand cyber risk and guide security teams to respond quicker.
The platform is designed to help organizations identify, prioritize and quantify security risks with 78% fewer false positives.
Agile1’s Predictive Risk Scoring is a tremendously accurate predictive security score because the platform aggregates and analyzes all security data in an organization. This includes the cloud, devices, network, applications, API’s and anomalous human behavior. Measuring cyber risk is complex because there are no accepted norms. Agile1 creates a scoring model based on 13 unique factors that combine security data, anomalous behavior, policies, configurations, historical record, forecasting and criticality.
Agile1’s Predictive Cyber Risk Scoring uses machine learning scoring techniques based on empirical modeling. We combine machine learning with user behavior analytics to create accurate models to evaluate predictive features embedded in the data. All this while minimizing the false-positives.
“Small and mid-size businesses looking for a managed 24×7 SOC can experience complete visibility and total security driven by a deep analytics foundation to understand their security gaps.” says Tony Pietrocola, president of Agile1. Pietrocola added, “If you are a valued channel partner who utilizes Agile1 technology to run your SOC you now have predictive scoring and analytics to grow your cyber consulting services.”
Agile1 monitors millions of security events everyday world-wide. Agile1 is redefining the MDR space with modern technology that simplifies the process, reduces false positives and actually shows technology executives where they have security gaps. For more information please visit www.AGILE1.io