In a significant step forward for government IT modernization, the US General Services Administration (GSA) has entered into a strategic agreement with Elastic, the Search AI Company, to help federal agencies reduce costs and elevate their cybersecurity, observability, and AI capabilities.

This landmark agreement establishes new, government-wide pricing for Elastic’s full suite of solutions — both self-managed and cloud. Agencies can now access volume discounts of up to 60%, eliminating the inefficiencies of fragmented, one-off procurements. The agreement is a win-win for the government: simplifying the acquisition and procurement processes while modernizing legacy IT systems.

The new Elastic-GSA agreement supports the broader government-wide push for IT efficiency. Recent executive orders and US Office of Management and Budget (OMB) guidance — particularly the President’s Management Agenda and the directives on government efficiency and AI innovation — emphasize cost-effectiveness, cybersecurity, and the adoption of AI to improve public services.

Elastic is well-positioned to help government agencies accelerate their missions efficiently. Using open source Search AI technology, Elastic’s data mesh approach can transform massive amounts of siloed data into actionable, mission-critical insights. Agencies looking to strengthen interoperability, combat fraud, reduce wasteful spending, improve security, and modernize IT are using Elastic as a strategic foundation for multiple use cases that rely on data, such as Zero Trust, logging compliance, and building GenAI applications.

Through this agreement, agencies can gain streamlined access to Elastic’s open, scalable technology, including:

• Next-generation security and logging: Elastic offers comprehensive logging and cybersecurity capabilities, including cutting-edge features such as AI Assistant for Security, Attack Discovery, and out-of-the-box detection rules to accelerate response times. Elastic’s tiered storage and logsdb index mode enable federal agencies to comply with M-21-31 logging requirements, making long-term log retention both operationally feasible and cost-effective.
• Search AI Lake: Elastic’s Search AI Lake provides unified, AI-powered distributed data access across all data types and systems, breaking down silos for mission-critical insight. Using a data mesh approach, Elastic enables data to remain in its original location but be searched, accessed, and analyzed holistically. 
• Zero Trust capabilities: Elastic unifies data across all Zero Trust pillars, enabling agencies to seamlessly ingest, analyze, and act on threats while cost-effectively integrating with their existing systems.
• Open standards based observability: Gain full-stack visibility across IT environments with OpenTelemetry (OTel)-native support and real-time telemetry.
• Flexible deployment models: Cloud-native, hybrid, or on-prem — Elastic meets agencies where they are.

These capabilities provide a unified foundation for operationalizing data at scale, enabling agencies to not only strengthen their security posture but also reduce complexity and boost operational resilience.

The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.

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