Neustar’s UltraThreat Feeds provide the near real-time threat data you need to help identify and stop bad traffic, both inbound and outbound.
The Need for Comprehensive, Near Real-Time, Threat Insight
The complexity of digital security today makes the ability to identify threats and prevent attacks before they happen more important, and more difficult than ever. In addition, the loss from a typical data breach averages $4 million — while more serious “mega breaches” can cost hundreds of millions of dollars. In this environment, the urgency to find effective ways to identify and defend against attacks is critical.
Given how quickly the attackers are shifting their strategies and attack vectors, having comprehensive coverage at every layer in the stack is key. This means you need a way to do programmatic analysis in order to expose big threats, and the bad guys, before they do damage. You also and need a whole lot of new, “fresh” data, and a unique perspective of activity on the Internet to quickly identify and stop threats before your organization becomes the next victim.
Unlike competitors whose threat feeds are derived from passive DNS data they collect from 3rd party providers or a network of sensors, Neustar leverages its own DNS data exhaust collected from over 30 globally distributed nodes and over 100 billion look ups per day. This, combined with behavioral analysis and pattern-based research, enables us to derive refined contextual insights into malicious activity.
With data and insights gained from our own globally distributed authoritative and recursive DNS network, Neustar OneID and IP Intelligence geolocation and IP risk data, we’re able to provide a proprietary view of global threats to help identify and stop bad traffic and mitigate risks. This is threat data that no other vendor in the industry can offer.
Neustar’s data acquisition and storage methodologies ensure protection of Personal Information (PI) and comply with global privacy standards including the European Data Protection Regulation (GDPR).