Financial institutions are top targets for cyber threat actors, because “that’s where the money is.” Protecting financial and customer data from highly motivated adversaries is incredibly challenging in an environment of continuous digital transformation, complicated regulation, complex supply chain ecosystems, and remote work requirements accelerated by COVID-19. In particular:
GreyNoise helps SOC analysts and incident responders investigate and triage security alerts more quickly and effectively by separating targeted activity from irrelevant or harmless background noise.
And for security engineering teams building correlation rules and automation in SIEM and SOAR, GreyNoise data can be used to automatically de-prioritize and suppress noisy alerts. One GreyNoise customer reduced Splunk alerts by 25%.
GreyNoise provides an early warning system to identify when a vulnerability is being mass exploited at scale in the wild. This information is a critical data point for patch prioritization, as well as knowing when to “break the glass” and trigger emergency patching protocols.
During a mass exploitation attack, security teams are typically scrambling to fix the vulnerability, block ongoing attacks, and find early signs of compromise. GreyNoise provides dynamic IP blocklists, curated by CVE, that allow organizations to defend themselves during the early "window of exposure" from these attacks...and to hunt for known attacker IPs.
GreyNoise helps threat hunters and intelligence analysts by providing visibility and deep context into mass scanning IP addresses that form the early-stage attack infrastructure for many of today’s most dangerous cyber threats.
”We use GreyNoise to cut down on the noise in the SOC, to help our analysts stop chasing ghosts. So when dirty internet noise comes in, we run it through an API that utilizes GreyNoise, and then we only react when something is NOT seen.”
– Head of Cyber Security Research, Global Bank