Elastic has announced a deep integration with Google Distributed Cloud air-gapped environments, positioning itself as a critical security layer for organizations handling highly sensitive and regulated workloads. This collaboration aims to deliver a hardened architecture that enables enterprises to defend against increasingly sophisticated, AI-driven cyber threats while maintaining strict data control.

As organizations in regulated industries face mounting pressure to secure critical data, traditional cloud models often fall short in meeting sovereignty and compliance requirements. Therefore, this integration brings together Google’s sovereign cloud capabilities with Elastic’s agentic security operations platform, allowing customers to operate in fully disconnected, high-security environments without sacrificing advanced analytics and AI-driven insights.

Notably, Google Distributed Cloud air-gapped is designed to provide a fully managed environment that supports innovation while ensuring compliance with strict regulatory standards. By combining this infrastructure with Elastic’s security platform, organizations gain enhanced protection against evolving threats while preserving full control over their data.

“Google Distributed Cloud air-gapped is a fully managed solution that empowers organizations to innovate securely while addressing their most stringent sovereignty and regulatory requirements,” said Rohan Grover, senior director, Product at Google Distributed Cloud. “For organizations requiring an additional layer of security, Elastic’s agentic security operations platform brings enhanced data security and data sovereignty capabilities to customers, helping them to combat modern, AI-driven cyber threats.”

At the core of this integration is Elastic Security, which unifies Security Information and Event Management (SIEM), Extended Detection and Response (XDR), and native automation into a single platform. As a result, security operations center (SOC) teams can streamline workflows, reduce tool sprawl, and improve overall efficiency. Additionally, the platform leverages agentic AI across prevention, detection, and response, enabling faster and more accurate threat mitigation.

Furthermore, this unified approach simplifies security management across complex environments. Instead of relying on multiple disconnected tools, organizations can consolidate their security operations into a single, integrated platform. Consequently, this reduces operational overhead while improving visibility and control.

Another key advantage of the integration is its focus on data sovereignty and compliance. Elastic Security enables organizations to implement robust controls at both the application and data layers, ensuring adherence to strict regulatory requirements. In addition, features such as log retention and enhanced data visibility help organizations maintain audit readiness and operational transparency.

Moreover, the platform enhances SOC analyst productivity through native AI capabilities, including features like Attack Discovery and AI Assistant. These tools leverage large language models (LLMs) within air-gapped environments, allowing analysts to gain actionable insights without exposing sensitive data to external networks.

“Security teams in highly regulated, air-gapped environments face growing challenges detecting and responding to AI-driven threats while maintaining strict data sovereignty and compliance requirements,” said Mike Nichols, general manager, Security at Elastic. “This integration brings a unified, agentic security operations platform designed to meet those demands.”

Ultimately, this partnership reflects a broader industry shift toward secure, sovereign cloud solutions that can support advanced AI workloads. By combining Elastic’s security expertise with Google’s distributed cloud infrastructure, the integration provides organizations with a powerful solution to navigate the complexities of modern cybersecurity while maintaining full control over their data and operations.

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