Overview

Securonix is the industry-leading platform for security analytics that provide advanced monitoring and threat detection capabilities. With a powerful context assignment, anomaly detection and visualization engine, the Securonix platform analyzes events, identity, access and transaction data to detect advanced threats and risk ranks threats for proactive security management.

Securonix saves IT organizations time and money. Our proven solution eliminates rubber stamping and reduces access certification workload by 90%. It also results in a reduction of over 60% in the number of false alerts generated by DLP products.

The Securonix Security Analytics Platform platform is used today to analyze billions of transactions on a daily basis. A combination of Big Data technologies married with a leading indexing capability provides a horizontally scalable solution to meet any organization’s security analytics needs. The platform includes:

• Security Intelligence
• Data Exfiltration Intelligence
• Insider Threat Management
• Cyber Security Intelligence
• Identity & Access Intelligence

Where current event monitoring technologies are focused on data collection, retention and compliance reporting at the perimeter, Securonix focuses on detecting advanced threat patterns and even insider threats. Securonix continuously analyzes the billions of events generated an organization’s network, systems and applications and pin points the suspicious events that require further investigation. The Securonix risk engine continuously ranks threats and actions, enabling organizations to prioritize their investigations. Securonix provides a versatile investigation workbench and integrated incident response system that provides security analysts the ability to perform visual link analysis of events, accounts, users, access, activities, systems and even network addresses.

Securonix customers are identifying exfiltration threats they never would have caught before, not to mention, reducing the number of DLP events they need to look at by over 95 percent. This allows organizations start detecting the theft of sensitive unstructured intellectual property data beyond the structured credit card and PHI data.