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Centralizing Threat Intelligence to Enhance Risk Visibility with Splunk Integration

Centralizing Threat Intelligence to Enhance Risk Visibility with Splunk Integration

Centralizing Threat Intelligence to Enhance Risk Visibility with Splunk Integration

Centralizing Threat Intelligence to Enhance Risk Visibility with Splunk Integration

Executive Summary

The customer, in collaboration with our partners, provides a list of private and global incidents. However, they faced a big problem when they had to effectively show and manage the security incidents across their network. The customer was not able to provide a transparent view of private and global incidents, along with their type and where they have affected the particular hosts. Furthermore, they also faced the problem where they could not update the status of incidents directly from the visualization tools, hampering the efficiency of their incident response workflows.

Crest Data addressed these challenges by creating a unique Splunk app that enhances advanced threat-feed integration and centralized incident management. Using modular inputs for data collection, along with Splunk Adaptive Response, Crest Data enables admins to visualize incident event data and alter incident statuses on the Digital Shadows platform, all within Splunk. Additionally, the integration allows users to associate incidents with other data feeds and analyze IOC indicators through the Splunk Enterprise Security (ES) Threat Intelligence dashboard, which greatly increases the customer’s risk management capabilities.

About the Customer

The customer is a global digital risk management provider providing cyber situational awareness to help organizations protect against attacks, IP thefts, and reputational harm. They intend to transform how organizations view risk. They offer a holistic understanding of digital footprint and attacker profile and analyze sources on the deep web, dark web, and visible web. Their solutions allow for monitoring private and global incidents, understanding specific threat types, and the targeted host.

Customer Challenge

The customer’s primary challenge was the inability to visualize and manage the private and global security incidents. They also lacked a proper way to show all identified incidents along with their specific types and the hosts they affected.

Furthermore, the customer also needed an efficient workflow for incident remediation. Their existing tools lacked the capability to allow users to change the incident status directly from the visualization interface. This created a rift between threat visibility and the ability to take quick action.

Proposed Solution

To effectively address these challenges, Crest Data developed a robust Splunk solution that enables advanced threat-feed integration and centralized incident management. This solution provides an efficient way for customers to collect, visualize, and act upon security data available within their existing infrastructure.

Key features of the solution include:

  • Modular Data Collection: This app allows administrators to collect data using modular inputs. This ensures regular ingestion of information into the Splunk platform.
  • Advanced Data Correlation: After data collection, this incident data can be analyzed or used as a contextual data feed to correlate with data sources in the Splunk platform, providing an inclusive view of the security landscape.
  • Efficient Incident Management: Leveraging Splunk Adaptive Response, the solution allows users to directly change the status of incidents on the customer’s platform from within Splunk.
  • Threat Intelligence Integration: The app enhanced the ability of the administrators to identify and mitigate risks by allowing them to analyze indicators through the threat intelligence dashboard of the Splunk ES platform.
  • Conceptual Event Visualization: The customer worked with Crest Data to build conceptual views of incident event data, giving in-depth visibility into incident types.

Outcomes 

The development of the Splunk app resulted in many benefits as follows:

  • Advanced Threat-Feed Integration: The solution ensures seamless and advanced threat-feed integration within Splunk.
  • Enhanced Incident Visibility: The customer can gain deep visibility to view all incidents. They can see their specific types and hosts that they affected.
  • Streamlined Incident Remediation: The solution allows for changing the status of incidents from the customer’s platform, thus improving workflow efficiency.
  • Improved Data Correlation: Incident data can now be used as a contextual data feed to correlate with other information across the Splunk platform, providing deeper security insights.
  • Centralized Indicator Analysis: Administrators are now empowered to analyze security indicators directly through the threat intelligence dashboard of the Splunk Enterprise Security (ES) platform.

About Crest Data

Crest Data is a data and AI-first product engineering and technology solutions provider with deep expertise in cloud and AI, cybersecurity, observability, data analytics, and workflow automation. In this case study, Crest Data leveraged its security automation and Splunk development capabilities to help the customer unify threat intelligence and streamline incident remediation, supported by advanced-level visualization and automated incident status management via Splunk Adaptive Response.

With 1,200+ experts and a track record of 5,500+ successful projects across 150+ global customers, and backed by strong partnerships with Google, AWS, Microsoft, Datadog, Dynatrace, ServiceNow, and NetApp, Crest Data delivers outcome-focused solutions that strengthen security, improve platform reliability, and enable sustainable digital growth.