Gurucul, today announced Gurucul Unified Security & Risk Analytics, the first cloud-native data science driven platform that unifies key Cyber Defence Centre functions to enable contextual, risk-prioritised decisions for automating security controls.
Gurucul is exhibiting the industry’s first cloud-native security and risk analytics platform for end-to-end protection of borderless IT environments this week at RSA Conference 2020.
The integrated solution combines security information and event management (SIEM), user behaviour analytics (UEBA), network traffic analysis (NTA), security orchestration automation and response (SOAR), Log Aggregation, and Intelligent Threat Hunting with Real-Time Data Science to Automate Risk-based Security Controls
Gurucul Unified Security Analytics is based on 10 years of research and customer success best practices deploying machine learning (ML) and artificial intelligence (AI) techniques with security-specific big data. It applies security analytics to use cases handled by SIEM, UEBA, NTA, SOAR, cloud security and threat hunting in one consolidated platform to detect both known and unknown threats in real-time, identify risky user/entity behaviours, and automatically respond to security incidents.
Gurucul is a global cyber security and fraud analytics company that is changing the way organisations protect their most valuable assets, data and information from insider and external threats both on-premises and in the cloud. Gurucul’s real-time Unified Security and Risk Analytics Platform combines machine learning behaviour profiling with predictive risk-scoring algorithms to predict, prevent and detect breaches. Gurucul technology is used by Global 1000 companies and government agencies to fight cyber fraud, IP theft, insider threat and account compromise as well as for log aggregation, compliance and risk-based security orchestration and automation.