Leveraging Exposure Management Data Through Integration with Google SecOps SOAR
Executive Summary
The customer wanted to consolidate its security by leveraging the Continuous Exposure Management (CEM) data to be useful to better streamline threat detection, investigation and response. The security analysts at the customer side were not getting full information and had limited context and lacked visibility into asset relationships and the attack paths provided by the customer. Also, the customer was witnessing slow response times due to various manual processes during remediation activities. Also, integration issues were being encountered when organizations tried to utilize the client data with Google SecOps SOAR.
This case study describes how Crest Data developed a comprehensive integration between customer’s Continuous Exposure Management (CEM) platform and Google SecOps SOAR, enabling organizations to leverage attack path data and exposure insights within their security operations workflows. This integration enhances threat detection capabilities, provides deeper context for security incidents, and enables more effective remediation through automated workflows. The integration delivers advanced entity enrichment, risk scoring, and breach point management capabilities that significantly improve security operations efficiency.
About the Customer
The customer is one of the fastest growing cybersecurity firms in the world specializing in continuous exposure management. The company provides innovative transformative solutions through capabilities like External Attack Surface Management, Exposed Credentials Management, Security controls management, and much more.
Customer Challenge
The customer was facing critical problems that significantly hampered their ability to strategically manage security threats:
- Limited context: Security analysts lacked comprehensive visibility into asset relationships and attack paths during investigations.
- Manual workflows: Remediation actions required manual intervention across multiple platforms.
- Prioritization difficulties: Without proper context, teams struggled to prioritize which vulnerabilities and exposures posed the greatest risk.
- Platform dependencies: Organizations using non-Google SIEM solutions faced integration challenges when trying to leverage XM Cyber data in Google SecOps SOAR.
Organizations needed a way to integrate customer’s attack path data and asset information directly into Google SecOps SOAR to enhance threat detection, investigation, and response capabilities, regardless of their underlying SIEM platform.
Proposed Solution
The integration process undertaken for the customer for Google SecOps SOAR provides a seamless connection between the two platforms, enabling security teams to leverage attack path data and exposure insights within their security operations workflows.
Key features and capabilities provided in the solution are as follows:
- Data Enrichment: Retrieves detailed information from the customer for each identified entity, including critical scores, risk factors, and attributes.
- Risk Calculation: Applies weighted scoring algorithms to determine overall risk levels as per the customer’s context, supporting customizable weightage for nine different risk factors.
- Breach Point Management: Identifies entities involved in alerts and marks them as potential breach points for the customer, supporting sophisticated filtering based on 20+ parameters.
- Automated Playbooks: Provides ready-to-use playbooks that automatically extract entity data from alerts and intelligently filter alerts based on customer’s risk scoring algorithm.
- Visualization Widgets: Creates intuitive visualization dashboards with six specialized widgets that transform complex customer’s data into actionable security insights.
- Universal SIEM Compatibility: Works seamlessly with both Google SecOps SIEM and third-party SIEM platforms, providing consistent enrichment capabilities regardless of the underlying SIEM technology.
Note: The above solution could be easily migrated to the Content pack once it is GA.
The Crest Difference
- Strategic Solution Design, Not Just Integration: We don’t just connect APIs; we architect intelligent security workflows. Our proactive design of specialized visualization widgets, cross-platform enrichment capabilities, and comprehensive SOAR playbooks for the integration done for the customer demonstrates our commitment to delivering true operational value beyond basic connectivity.
- Deep Google SecOps & Security Operations Expertise: Our profound understanding of how security teams actually use these platforms ensures that the integrations we build are not just technically sound but intuitively useful and highly effective in real-world scenarios.
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 applied its CloudOps and DevSecOps capabilities to help the customer migrate from on-prem infrastructure to a secure, scalable, and cost-efficient AWS environment, supported by infrastructure automation and proactive monitoring.
With 1,200+ experts and a track record of 5,500+ successful projects across 150+ global customers, and backed by strong partnerships with AWS, Google, Microsoft, Datadog, Dynatrace, ServiceNow, and NetApp, Crest Data delivers outcome-focused solutions that strengthen security, improve platform reliability, and enable sustainable digital growth.
