Splunk enables you to search, analyze, and visualize data gathered from your IT infrastructure or business components.
The GreyNoise app for Splunk seamlessly integrates into existing workflows to filter out background noise from your searches, resulting in more accurate alerts for analysts. It helps threat hunting teams by providing an initial pass on logs, allowing them to focus on targeted activities and more easily identify malicious actions.
Use Case 1: SOC Efficiency
Overview
Integrating GreyNoise intelligence directly into the Splunk dashboard enriches network event data, enabling a more efficient and streamlined prioritization of alerts. This integration enhances SOC efficiency by embedding enriched data into security event management workflows, tailored specifically for SOC analysts focusing on threat detection and incident response.
Benefits
Reduced Mean Time to Triage (MTTT): Swiftly identify and categorize benign versus malicious activity, allowing analysts to focus on genuine threats and reduce response times.
Increased SOC Capacity: Minimize the volume of alerts requiring manual review by automatically filtering out irrelevant noise and known benign IPs, thereby enhancing the effectiveness of SOC operations.
Key GreyNoise Features or Capabilities
IP Lookups: Automatically query GreyNoise for IP details directly from the Splunk dashboard, classifying IPs and providing detailed context about their behavior on the internet.
GreyNoise Threat Feed:
How the Dashboard Works
Data Integration: Firewall logs are automatically fed into Splunk, where they are enriched with GreyNoise intelligence to provide immediate context about the activity of observed IPs. Note the searches are using CIM fields and uses the GreyNoise feed as a lookup. This can also be modified to use other sources of data
Alert Prioritization: data is categorized by classification with tags to provide additional context, the third panel contains IP’s that have not been observed by greynoise.
Analytics:
Successful Outcomes
Efficient Incident Response: By utilizing GreyNoise intelligence through the Splunk dashboard, SOC teams experience a decrease in incident escalations, facilitating quicker and more precise responses.
Increased Operational Independence: The dashboard’s integration of enriched data empowers SOC teams to handle a greater volume of incidents internally, enhancing overall efficiency and reducing dependency on external resources.
Use Case 2: Threat Hunting
Overview
This dedicated threat hunting dashboard combines real-time network event data with GreyNoise intelligence to enhance the identification and analysis of potential security threats. By focusing on data for unknown or malicious IP addresses and the CVEs they are exploiting, the dashboard empowers security teams to proactively mitigate risks.
Benefits
Enhanced Threat Detection: Quickly identify IPs not previously observed by GreyNoise and assess their threat level, reducing noise and highlighting significant threats.
Focused Vulnerability Insight: Gain detailed insights into specific CVEs that attackers are exploiting, allowing for targeted security measures.
Streamlined Threat Hunting: Filter and prioritize threat data effectively, removing irrelevant information to focus on actionable intelligence and malicious TTPs.
Key GreyNoise Features or Capabilities
Global Threat Visibility: Leverage GreyNoise's extensive dataset to compare local network events against global threat activities, aiding in the distinction between background noise and genuine threats.
IP Analysis: Obtain detailed context on IP addresses, including their involvement in known malicious campaigns or their status as previously unidentified by threat intelligence feeds.
CVE Tracking: Access comprehensive data on CVEs associated with observed attacks, facilitating better understanding and response to exploitation attempts.
How the Dashboard Works
Event Filtering: Network events are processed to highlight activities related to IPs that GreyNoise has not observed, flagging them for further investigation and helping to build specific detections.
Malicious IP Identification: Categorize IPs based on their threat level, distinguishing between unknown and confirmed malicious addresses using GreyNoise data, which aids in removing noise and focusing on critical threats.
CVE Visualization: Display charts and graphs detailing CVEs that IPs have attempted to exploit, providing actionable intelligence for patching and defense strategies and aiding in the development of tailored detections.
Successful Outcomes
Proactive Threat Management: By identifying and analyzing IPs and CVEs not covered by traditional databases, the dashboard allows teams to preemptively address potential threats and build effective detections.
Improved Security Measures: With improved visibility into the tactics and techniques of attackers, organizations can refine their defense mechanisms to protect against specific vulnerabilities and better identify malicious TTPs.
Enhanced Operational Efficiency: Streamlining the threat hunting process through effective noise reduction enables quicker detections and responses, significantly reducing the time security teams spend on initial threat identification and subsequent investigations.
Use Case 3: Vulnerability Intelligence
Overview
This dashboard leverages both GreyNoise and ASM (Application Security Management) data to enhance vulnerability intelligence by providing a comprehensive view of an organization's exposed services. It enables security teams to understand how these services are targeted by threats across the internet, aiding in the prioritization and implementation of necessary security patches.
Benefits
Enhanced Visibility: Gain a clear understanding of the organization's exposed services and their security posture.
Proactive Threat Detection: Monitor how exposed services are targeted by attackers in real-time, allowing for quicker responses.
Strategic Patch Management: Prioritize patches based on actionable intelligence about the most critical and targeted vulnerabilities.
Key GreyNoise Features or Capabilities
Real-Time Attack Insights: GreyNoise provides up-to-date information about active scanning campaigns and attacks that target specific services identified by ASM data.
Contextual Analysis: Understand the nature of attacks against exposed services with detailed background on attackers’ tactics and techniques.
Global Threat Context: Access global perspective on threats targeting similar services elsewhere, enabling benchmarking and improved defensive strategies.
How the Dashboard Works
Data Integration: ASM data is used to identify and display the perimeter of the organization, detailing all exposed services.
Threat Mapping: The dashboard integrates GreyNoise data to show how these services are being attacked globally. This includes data on IPs involved in suspicious activities and their historical attack patterns.
Dynamic Updates: The dashboard refreshes regularly to provide the latest information on threats, ensuring that the security team has access to the most current data for decision-making.
Successful Outcomes
Optimized Patching Processes: By understanding which services are most at risk, organizations can prioritize patching efforts more effectively, reducing the window of exposure.
Improved Security Posture: Continuous monitoring and updating of threat intelligence allow organizations to stay ahead of attackers, securing vulnerable points before they can be exploited.
Enhanced Decision-Making: The integration of real-time data into strategic decision-making processes enables security teams to allocate resources more efficiently and respond to threats with greater precision.
