Niara, a provider of security analytics for attack detection and incident response, announced that the latest release of its security analytics platform analyzes any data source and supports the customization of its behavioral analytics modules, providing organizations with visibility into attacks and risky behaviors inside their environments.
Organizations can now derive security insights from data sources by combining Niara’s built-in behavioral analytics with custom modules unique to their particular environment. As a result, organizations benefit from entity risk profiles and information about attacks.
This includes privilege escalation, password sharing, credential violations, lateral movement, internal reconnaissance, abnormal access to high-value resources, command and control and exfiltration activities.
“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 of Niara.
Niara’s behavioral analytics modules are already delivering results at a number of Fortune 500 companies, using a full spectrum of machine learning techniques such as supervised, semi-supervised and unsupervised to detect and more reliably link anomalies to malicious intent.