SOCRadar’s Global Success Story with Google Cloud and NGC Featured on the Google Cloud Blog

SOCRadar Accelerates Threat Detection with AlloyDB and Gemini Enterprise

By leveraging Google Cloud AlloyDB and Gemini Enterprise, SOCRadar has enhanced the speed and efficiency of its threat detection capabilities. With an AI-powered database infrastructure, the company is achieving faster analytics, reduced operational overhead, and a scalable foundation for the future of cybersecurity.

SOCRadar is a leading cybersecurity company providing external threat intelligence to organizations in more than 30 countries worldwide. As the volume and complexity of cyber threats continued to grow, the company recognized the need to modernize its data infrastructure to deliver faster and more accurate insights to its customers.

As part of this transformation, SOCRadar migrated to Google Cloud AlloyDB, significantly improving database performance, reducing operational complexity, and establishing a strong foundation for future AI initiatives.

Growing Data Volumes Required a New Infrastructure

SOCRadar’s previous self-managed PostgreSQL environment had reached its performance limits in handling real-time data ingestion alongside intensive analytical workloads.

This resulted in:

• Delays in delivering critical threat intelligence to customers.
• Significant manual effort required for database optimization.
• Engineering teams spending valuable time on maintenance instead of innovation.

To overcome these challenges, SOCRadar began searching for a next-generation database solution that could provide high performance, fully managed operations, and minimal administrative overhead.

A Seamless Migration to Google Cloud AlloyDB

Following a comprehensive technical evaluation, Google Cloud AlloyDB for PostgreSQL was selected as the preferred solution.

Its full PostgreSQL compatibility enabled a low-risk migration while preserving application compatibility.

Throughout the project, NGC, a Google Cloud Premier Partner, played a key role in validating the solution architecture, designing the migration strategy, and ensuring a smooth production deployment with minimal downtime.

Significant Performance Improvements

Following the migration to AlloyDB, SOCRadar achieved substantial improvements in database performance and processing capacity.

Key results include:

• Up to 20x faster analytical queries.
• 3.2x faster real-time data processing.
• Response times for critical queries reduced from several seconds to approximately one second.
• Consistently low-latency performance despite continuously growing data volumes.

These improvements enable security teams to analyze threats much faster and provide customers with actionable intelligence in near real time.

Lower Operational Overhead, Greater Focus on Innovation

Beyond performance gains, AlloyDB also delivered significant operational efficiencies.

Thanks to intelligent memory management and automatic optimization capabilities, the need for manual database administration was dramatically reduced.

As a result:

• 75% of the time previously spent on database administration was reclaimed.
• More than 45 TB of unnecessary storage was eliminated, reducing infrastructure costs.
• Engineering teams shifted their focus from maintenance activities to product development and innovation.

AI-Powered Security Operations with Gemini Enterprise

SOCRadar’s transformation extended beyond infrastructure modernization by bringing artificial intelligence into the core of its security operations.

Gemini Enterprise was integrated with the company’s Alert Management system, enabling AI-driven analysis of security alerts.

The solution automatically:

• Distinguishes genuine threats from false positives.
• Prioritizes security alerts based on risk.
• Delivers only the most critical incidents to security analysts for action.

This significantly reduces alert fatigue, allowing analysts to focus on high-priority threats instead of spending time reviewing large volumes of routine notifications.

The Next Step: Agentic AI

SOCRadar’s AI journey continues with the next phase of innovation.

Building on the foundation established with AlloyDB and Gemini Enterprise, the company is preparing to introduce Agentic AI capabilities that will further automate cybersecurity operations.

Its roadmap includes:

• Natural language threat querying.
• AI-powered semantic similarity analysis.
• Automated incident summarization.
• Autonomous data agents capable of proactive threat hunting.

These capabilities are expected to further improve the speed, intelligence, and automation of security operations.

Conclusion

Through its collaboration with Google Cloud and NGC, SOCRadar has successfully modernized its data infrastructure, eliminated performance bottlenecks, increased operational efficiency, strengthened AI-powered security operations, and established a scalable platform for the next generation of autonomous cybersecurity solutions.

This success story demonstrates how Google Cloud technologies, combined with the expertise of the right implementation partner, can create measurable business value and accelerate organizations’ AI-driven digital transformation journeys.