CyberSafe has secured a new contract with a major energy company to modernize its security operations and strengthen the foundation for a more automated, intelligent Security Operations Centre.
The project will involve migrating the organization’s existing IBM QRadar environment to Splunk Enterprise Security. CyberSafe will manage the transition from planning through implementation, with a focus on maintaining operational continuity while improving the performance and scalability of the company’s security monitoring capabilities.
Migrating More Than 240 Security Rules and Use Cases
A central part of the project will be the review, adjustment and migration of more than 240 detection rules and security use cases.
Rather than simply transferring the existing configurations, CyberSafe will assess each rule to identify opportunities to improve detection logic, reduce false positives and align the new environment with the organization’s current risks and operational requirements.
This approach will help ensure that the Splunk environment is not only technically functional at launch, but also properly configured to support the company’s analysts and broader cybersecurity strategy.
Building a Flexible Security Data Architecture with Cribl
CyberSafe will also install and configure Cribl to strengthen the organization’s security data pipeline.
Cribl will collect logs from multiple sources, process and transform the data in real time, and route it to Splunk and other security platforms. This will give the organization greater control over how its data is managed and used across its cybersecurity environment.
The new architecture is designed to:
- Reduce unnecessary data ingestion and help optimize Splunk licensing costs
- Clean, filter and enrich security data before it reaches downstream platforms
- Route relevant data to multiple cybersecurity tools
- Improve visibility across a complex technology environment
- Reduce dependence on any single vendor
- Create a more scalable foundation for future security operations
By separating data collection and processing from the destination platform, the organization will gain greater flexibility as its security requirements and technology stack evolve.
Advancing Toward a More Autonomous SOC
The modernization project is being designed with automation and agentic AI in mind.
CyberSafe will help establish the foundation for security operations that combine deterministic automation, including Security Orchestration, Automation and Response workflows, with emerging agentic AI capabilities.
The goal is not to remove human expertise from the Security Operations Centre. It is to reduce repetitive work, improve investigation speed and allow security analysts to focus on the threats and decisions that require human judgment.
This project builds on CyberSafe’s experience helping organizations modernize their CyberOps capabilities through leading platforms such as Splunk, Microsoft Sentinel and Palo Alto Networks Cortex XSIAM.
Across these environments, CyberSafe combines SIEM engineering, detection optimization, data management and multiple layers of automation to help clients move toward a more efficient and increasingly autonomous SOC.
Modern Security Operations Require More Than a New SIEM
Migrating from one SIEM platform to another is not simply a technology replacement. It is an opportunity to reconsider how security data is collected, how threats are detected and how analysts respond.
By combining Splunk, Cribl, improved detection logic and intelligent automation, CyberSafe will help the organization build a security operations environment that is more flexible, efficient and prepared for the next generation of cyber threats.
This new engagement represents another important step in CyberSafe’s work to help complex organizations modernize their security operations and move closer to the Autonomous SOC.