Oracle has introduced a Defense Industrial Base Isolated Cloud Environment (DICE), designed to help defense contractors securely collaborate on classified programs while leveraging modern cloud and AI capabilities.
Announced on April 1, at the Oracle Federal Forum in Washington, D.C., the offering enables organizations across the defense ecosystem to operate within air-gapped cloud environments that meet stringent U.S. government classification requirements, including Secret and Top Secret workloads.
DICE is currently undergoing security evaluation, including third-party assessments and penetration testing, as part of the U.S. Department of War accreditation process, Oracle said.
Oracle expects to achieve provisional authorization at the Secret level by summer 2026, with Top Secret authorization to follow.
Analysis
What This Means for ERP Insiders
Secure cloud is expanding into the most restricted environments. Cloud adoption is no longer limited to non-sensitive workloads. Even highly classified operations are moving toward cloud models, signaling broader acceptance of cloud in regulated industries.
The move reflects growing demand for cloud architectures that balance data sovereignty, security, and advanced analytics, particularly in highly regulated industries where traditional cloud adoption has been constrained.
A Cloud Model Built for Classified Collaboration
The Defense Industrial Base includes thousands of contractors responsible for designing and delivering mission-critical systems for the U.S. military. These organizations require secure environments for activities such as R&D, system integration, and testing.
Oracle’s new environment extends these capabilities into the cloud by allowing organizations to expand existing on-premises classified systems into Oracle Cloud Infrastructure (OCI) while maintaining strict compliance with defense security protocols.
Crucially, the platform enables multi-party collaboration across contractors, something historically limited by siloed, highly restricted environments. Granular access controls ensure that workloads and data remain compartmentalized while still supporting joint program execution.
Analysis
What This Means for ERP Insiders
Collaboration is becoming a competitive differentiator. Enabling multiple organizations to work securely in shared environments reduces fragmentation and accelerates outcomes, a model that could extend to complex supply chains beyond defense.
The architecture also preserves the boundaries of established classified networks such as Secret Internet Protocol Router Network (SIPRNet) and Joint Worldwide Intelligence Communications System (JWICS), ensuring alignment with existing defense communication frameworks.
Bringing AI and High-Performance Computing into Secure Environments
A key differentiator of the offering is access to cloud-native AI and high-performance computing (HPC) capabilities within isolated environments.
Defense organizations can leverage AI models, autonomous databases, and advanced compute infrastructure for classified workloads, enabling use cases such as simulation, intelligence analysis, and mission system development.
This reflects a broader shift in government and defense IT strategies, where AI adoption is increasingly tied to secure data environments rather than open cloud ecosystems. Oracle is also expanding AI infrastructure in its government regions, including support for advanced GPUs and large language models.
Analysis
What This Means for ERP Insiders
AI value depends on where data can safely live. The ability to run AI inside air-gapped environments highlights a key shift: enterprise AI strategies must align with data sovereignty and security constraints, not just model capabilities.
Cost Predictability and Faster Program Execution
Beyond security, Oracle is positioning the isolated cloud as a way to address operational inefficiencies common in defense IT programs.
The platform introduces predictable pricing across classification levels, helping organizations better manage infrastructure costs and reallocate resources toward innovation.
At the same time, real-time collaboration capabilities and reduced integration complexity are expected to accelerate program timelines, enabling faster delivery of mission-critical systems.
