Threat Feeds: Comprehensive, Near Real-Time Insights

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 $3.86 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.

There are many examples of security tools offering limited solutions to address this problem. Whitelists and blacklists pass or block execution of software (even though hackers use stolen credentials to access networks and websites). Next generation firewalls keep bad traffic out (even though the bad guys keep getting in). Data loss prevention tools stop leakage of sensitive data (while PII and every other kind of secret information somehow escapes into the wild). Vulnerability scanners will keep you apprised of danger (even though scanners pump out so many “alerts” that security pros are numbed by the flood of data). It’s important to keep in mind that modern attackers have learned how to obfuscate their strategies, to masquerade the attack battle plan, and to utilize sophisticated ways to evade detection.

Given how quickly the attackers are shifting their strategies and attack vectors, having comprehensive coverage at every layer in the stack is more critical than ever. This means you need a way to do programmatic analysis in order to expose big threats, and the bad guys, before they do damage. Which in turn means you need a whole lot of new and “fresh” data, and a unique perspective of activity on the Internet to quickly identify and stop threats before your organization becomes the next victim.

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“Near real-time data is critical because today’s data is worth less tomorrow than it is today.”

Rodney Joffe, SVP, Security CTO and Fellow, Neustar, Inc.
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