Niara's Security Analytics Platform Now Modular and Data-Agnostic

Niara is a company known for its innovative security analytics platform, which applies advanced machine learning to data from networks and security infrastructure to automate attack detection from directly within the organization itself. In combination with big data technologies, these machine learning techniques detect and respond to incidents much more quickly while filtering out threats that aren’t, well, threatening.

Niara recently announced that it has further enhanced this platform and its behavior analytics capabilities with the recently-launched latest version by allowing it to analyze any data source and making it modular. As a result, users can configure customized behavioral analytics modules that are fit for a certain environment and therefore generate more comprehensive entity risk profiles with more extensive insight into attacks.

User and entity behavior analytics (UEBA) modules enrich and tag (News - Alert) data to create these accurate behavior profiles, leveraging a wide range of data to form the most complete picture possible. The company takes a multidimensional approach with this software that covers a wide range of activities such as abnormal access to high-value resources, command and control, credential violations, exfiltration, internal reconnaissance, lateral movement, password sharing and privilege escalation.

A data fusion process distills and correlates packet, flow, log, file, alert and threat feed data to piece together all of these useful insights and perform more thorough and valuable investigations. By using a complete spectrum of machine learning techniques with these extensive behavioral analytics capabilities, the platform can intelligently link unexpected activities with malicious intent to form a more accurate and complete threat detection profile than ever before.

“By making behavioral analytics modular and data-agnostic, Niara enables data sources, machine learning models and features to be easily combined to better isolate attacks and identify risky behaviors,” said Sriram Ramachandran, CEO and co-founder of Niara. “That flexibility results in much richer Entity360 risk profiles, allowing attacks to be detected with greater precision and dramatically reducing the time and skill needed to investigate and respond to security events.”