WINNER – Best Behaviour Analytics/Enterprise Threat Detection: Gurucul
The Gurucul Risk Analytics (GRA) platform ingests and analyses massive amounts of data on user/entity behaviours from virtually any data source, including the network, IT systems, cloud platforms, applications, IoT, social media, etc. GRA applies identity-centric, model-driven data science, machine learning, anomaly detection and predictive risk-scoring algorithms to identify not just anomalous behaviour, but risk-scored activity indicative of security threats and fraud attempts. GRA’s accuracy and real-time alerting saves security analyst time and allows organisations to stop potential damage before it occurs.
Gurucul spans on-premise, cloud, mobile and IoT to provide identity-centric (user/entity) 360-degree visibility into threats and ingests virtually any dataset (structured/unstructured). It allows organisations to easily customise ML models or build their own without having to write code. GRA also provides a centralised analytics platform and SDKs for data scientists to build/import their own custom models. GRA’s Self-Audit mechanism empowers users to report suspicious access, fraud and activity on their own accounts.
Our judges said: “This product scales, meets clients needs and eliminates time and cost associated with data duplication, which is a problem for many.” They concluded that it’s a, “good UEBA solution with flexible deployment options, 2000+ pre-packaged ML models and pre-tuned industry specific versions, adding, “ good customer testimonials. Good product dealing with big data and good pricing structure.”