October 22, 2017 3:48 AM ET


Company Overview of Niara, Inc.

Company Overview

Niara, Inc. provides security analytics for attack detection and incident response. Its security analytics solution automates the detection of attacks on the inside of an organization by applying advanced machine learning to data from the network and security infrastructure; and discovers compromised users and malicious insiders, performs advanced threat hunting, and conducts incident investigations. The company’s security analytics solution is available as an on-premise or cloud deployment. Niara, Inc. was incorporated in 2013 and is based in Sunnyvale, California. As of February 1, 2017, Niara, Inc. operates as a subsidiary of HPE Aruba.

1196 Borregas Avenue

Suite 101

Sunnyvale, CA 94089

United States

Founded in 2013



Key Executives for Niara, Inc.

Co-Founder and Chief Executive Officer
Age: 54
Co-Founder and Vice of President Engineering
Vice President of Business Development
Age: 65
Senior Director of Customer Success
Vice President of Product Management
Compensation as of Fiscal Year 2017.

Niara, Inc. Key Developments

Niara Expands UEBA Ransomware Detection to Include Early-Stage Attacker Behavior

Niara announced the first application of UEBA machine learning to detect advanced attacks such as ransomware and whaling by including the behavior of the attacker to enhance the precision and timeliness of alerts. Through the use of specifically-designed analytics that focus on the tactics of the exploit, analysts can see these attempts even before the ransomware gains a toehold in the customer environment, and can take steps to stop them before they do widespread damage. Niara now deploys automated monitoring and detection at each stage of the kill chain to deliver reliable, highly-actionable alerts that can be acted on to quarantine systems, alert users, or to determine who else in the organization has been affected. Niara's behavioral analytics platform comprehensively covers several stages of the attacker behavior: At time of infection: email analytics to detect spoofed domains that unsuspecting users may click on and get infected; file analytics to detect suspicious file attachments that may infect the user; anomalous indicators on the endpoint such as process or registry changes. Command and Control (C&C) Stage: anomalous DNS requests and beaconing activity; integration with threat intelligence feeds for known indicators of compromise. Internal Activity: network scans and abnormal access to internal resources;behavioral indicators of encryption attempts on hosts, network file shares or cloud storage services.

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