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A Security Operations Center (SOC) relied on endpoint detection tools and a centralized logging platform to monitor threats across an enterprise IT infrastructure. The platform generated detailed threat events and aggregated insights, but analysts had to manually monitor dashboards and create tickets in the incident management system. This process led to time-to-response delays of several hours, putting the organization at greater risk of data breaches.
I developed a custom worker application in Golang to automate the ingestion of threat events and insights from the logging platform and create actionable tickets in the incident management system. The app featured:
- API integrations with the logging platform and ticketing system.
- Custom logic to map threat data to prioritized tickets.
- Rate-limiting controls to maintain smooth operation during high traffic periods.
The solution also incorporated a lightweight CI/CD pipeline, enabling rapid deployment while avoiding unnecessary complexity.
The Results:
- Time-to-response reduced from hours to minutes, greatly improving the SOC's ability to mitigate threats.
- Delivered a high-performance solution using Golang's concurrency model for efficient processing of multiple events.
- Ensured the system was easy to maintain, avoiding over-complicated deployment methods like container orchestration.
Key Takeaways
This project demonstrates how custom automation can:
- Improve operational efficiency in time-critical environments.
- Empower organizations to maintain robust solutions without added complexity.
- Accelerate response times, reducing risk and enhancing security posture.
Facing similar challenges? Let's build a custom solution to streamline your operations.
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