GreyNoise for Financial Services

GreyNoise data helps financial services firms defend against mass exploitation attacks, improve security analyst efficiency, and increase SOC capacity.

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Who we serve

Banks & Exchanges

Insurers

Investment Services

SOC teams are overwhelmed by mass exploitation attacks and alert storms

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:

Security teams are overwhelmed by the sheer volume of security events being generated by threat detection and response systems. Financial institutions in particular face a higher volume and sophistication of threats when compared to other industries, which leads to huge queues of alerts that need to be manually researched and investigated.
Mass exploitation attacks create chaos for security teams already stretched to the breaking point. When a new vulnerability is disclosed, such as Log4j, mass exploitation attacks can start within hours. Depending on the severity of the vulnerability, these attacks can require emergency patching, attack mitigation, and threat hunting on top of everyone’s “day job.”

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The GreyNoise Solution

GreyNoise provides actionable and timely intelligence context on mass scanning and internet background noise for financial services SOC teams who need to efficiently prioritize alerts and reclaim capacity.

Using a global network of passive sensors, GreyNoise collects, analyzes, and labels data on IPs that scan and attack the internet, saturating security tools with noise. GreyNoise data provides security teams with an early warning system for mass exploitation attacks on the internet, real-time IP block lists they can use to defend themselves, and context to quickly eliminate noisy alerts.

SOC efficiency

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%.

Vulnerability intelligence

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.

Threat hunting insights and productivity

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

GreyNoise is used by SOC teams, cyber threat intelligence analysts, and security researchers at some of the world’s leading banks and insurance firms.

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