On March 31, Oracle announced the availability of Oracle AI Data Platform for US federal agencies. Purpose-built to securely connect industry-leading generative AI models with agency data, applications, and workflows, the platform enables civilian and defense agencies to unify critical information so they can move faster, reduce information silos, and make informed, mission-critical decisions at scale.
For US federal government agencies, Oracle AI Data Platform makes data AI-ready and enables the creation and deployment of agentic applications by harnessing the combined capabilities of Oracle Cloud Infrastructure (OCI), Oracle Autonomous AI Database, and OCI Enterprise AI. This enables developers to rapidly design, build, and deploy enterprise lakehouses, AI agents, and mission-ready applications using a modern, scalable foundation. At the same time, civilian and defense agency users benefit from real-time insights, automated workflows, and secure agentic experiences that streamline decision-making, elevate day-to-day operations, and help teams execute with greater speed, confidence, and mission impact.
“Federal agencies are under increasing pressure to turn data into a secure, decisive mission advantage at speed and scale,” said Kim Lynch, executive vice president, government, defense and intelligence. “By unifying Oracle’s leading cloud infrastructure, AI database, and AI services, Oracle AI Data Platform for Federal Government provides a powerful, cost-effective way to connect data and workflows to generative AI. This helps agencies accelerate innovation, improve mission outcomes, and meet their mandates with greater confidence.”
Oracle AI Data Platform is engineered to address the most stringent security and compliance demands in the federal market. It operates within OCI’s FedRAMP High-authorized Government Cloud with IL4 and IL5 support for sensitive and controlled unclassified information (CUI), backed by always-on encryption, granular access controls, and comprehensive audit logging aligned with NIST and FISMA frameworks.
Source: Oracle
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