Entity360 is a consolidated representation of an entity’s activities, regardless of data sources, devices used, or activity types. The security analytics platform detects anomalies such as privilege escalation, credential violations, internal reconnaissance, lateral movement, abnormal access to high-value resources, command and control, and exfiltration. The company’s UEBA is different from other companies, as its analytics uses various data sources, which include packets, flows, logs, files, third-party alerts, and threat feeds to observe enterprises’ users and data. UEBA also monitors the behavior of various data sources to spot network anomalies. Niara’s machine learning models deliver value immediately upon deployment. Analyst provided feedback enables the platform to transparently adapt to the uniqueness of the local environments. It uses unsupervised and supervised learning models. This enables anomalous behaviors to be linked to malicious intents more reliably. The orthogonal behaviors make users less prone to false positives.
USP : Niara offers a security analytics platform, which includes a behavioral analytics solution that uses machine learning-based techniques to detect anomalous behaviors and find attackers without upfront configurations. The platform applies behavioral analytics on a combination of network and security data, and provides comprehensive Entity360 risk profiles for users, hosts, and IP addresses.