Minimize time and resources wasted on investigations into irrelevant events.
Improve analyst retention by reducing frustration and freeing up time to focus on high-priority security issues.
Reduce alert volumes by 25% and manual research time by 20%
SOC teams are overwhelmed by security alerts. But in too many SOCs, 50% or more of these alerts are false positives or irrelevant internet noise. This is why one GreyNoise customer says he wants his analysts to “stop chasing ghosts.”
SIEM platforms today are generating too many alerts for security teams to investigate properly. It’s not uncommon for large organizations to receive tens of thousands of security alerts per day from their SIEM. While many of these alerts are generated by “legitimate” cyber threats, a significant percentage are false positives or low-fidelity alerts triggered by harmless traffic.
Nevertheless, SOC analysts must manually investigate each of these incidents to determine if they are indicators of a targeted attack or compromised system.
GreyNoise helps SOC teams reduce alert overload by automatically filtering “noisy” alerts out of SIEM and SOAR platforms. Our attack telemetry identifies and classifies IP addresses associated with mass scanning and common business services. Security engineering and threat detection teams can create automated rules to suppress or deprioritize harmless alerts, as well as escalate those that are confirmed as malicious. Using this approach, one GreyNoise customer has reduced their alert volume coming from Splunk by 25%.
Every day, hundreds of thousands of devices scan, crawl and probe every routable IP address on the internet, saturating security tools with noise. At GreyNoise we analyze and label these IP addresses, and our customers use this data to automatically suppress or deprioritize alerts in their SIEM and SOAR systems.
GreyNoise customers use our IP intelligence APIs to enrich security events in their SIEM and SOAR, then apply automated rules to suppress or deprioritize noisy alerts. There are two primary scenarios to this automation logic:
GreyNoise has turnkey integrations developed for many of the industry’s leading SIEM platforms. By enriching security events with GreyNoise data, the SIEM can make automated decisions to reprioritize alerts based on this context. While each SIEM operates slightly differently, integrations generally query the GreyNoise API to look up the source IP for the event. Any information returned is automatically appended to the log so it can be presented to other tools and analysts. Next, logic is applied to the results to determine how or whether to re-prioritize the alert (see below).
GreyNoise provides turnkey integrations to most of the industry’s leading SOAR platforms, to help SOC teams automate workflows and incident response. With this approach, all incidents from the perimeter can be queried against GreyNoise and (based on defined rules) incident severity can be adjusted.
For detailed best practices recommended for automated alert prioritization, check out the GreyNoise Documentation article: Applying GreyNoise Data to Your Analysis.
"Our current approach to security alerts, requiring analysts to process ever-growing volumes, just doesn’t scale, and security analysts are paying the price with alert fatigue, burnout, and high turnover."
– Andrew Morris, Founder and CEO, GreyNoise Intelligence
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