Accelerate Threat Detection and Response

Event Correlation of All the Essential Data Sources, Simplified

Simplify SIEM event correlation and accelerate your incident response time. AlienVault Unified Security Management™ (USM) brings together related asset, vulnerability, intrusion, malicious actor intent, and remediation info for every alarm. The result?

Everything you need in a single pane of glass to assess threats accurately and expedite response, with none of the integration headaches.

Automate Event Correlation

When an incident happens you need immediate visibility into who, what, when, where, and how of the attack. Event log data doesn’t provide enough context to make effective decisions. IT teams without deep security expertise must conduct research into each alarm to understand the context—its significance and what to do about it.

The USM platform’s integrated threat intelligence from AlienVault Labs eliminates the need for IT teams to spend precious time conducting their own research as it automatically correlates events into actionable intelligence. USM identifies the most significant threats targeting your network with timely, relevant threat intelligence that provides every detail you need in the alarm: what’s being attacked, who is the attacker, what is their objective, and how to respond.

AlienVault Labs deliver regular updates to this threat intelligence in the form of a coordinated set of advanced correlation rules and product updates, including up-to-the-minute guidance on emerging threats and context-specific remediation guidance, which accelerates and simplifies threat detection and remediation.

You also receive notification when a known bad actor is targeting your network. The AlienVault Open Threat Exchange (OTX) alerts you to Indicators of compromise (malicious IP address, domains, MD5 hashes of malware, etc.) are detected in your log files. OTX is the world’s first truly open threat intelligence community that enables collaborative defense with actionable, community-powered threat data.