Oracle and Duality bring privacy-first AI to government and defense
Oracle and Duality Technologies announced a collaboration to deliver privacy-first AI for government and defense customers. The update was shared alongside Oracle AI World and includes new members joining the Oracle Defense Ecosystem.
The focus: enable AI on sensitive data without exposing the data itself, while keeping deployments compliant across specialized, sovereign, and classified cloud environments.
Why this matters for agencies
- Encrypted data collaboration and query: analysts can derive insights while the underlying data remains protected.
- Compliance by design: supports strict data handling requirements for mission-critical operations.
- Deployment choice: interoperability across Oracle's specialized and classified cloud options helps align with agency network and data residency constraints.
What the partnership includes
- Duality's privacy-first AI platform available on Oracle Cloud, enabling secure analytics and model execution on sensitive datasets.
- Support for secure deployment patterns across specialized, sovereign, and classified Oracle Cloud environments, improving cross-mission interoperability.
- Operational benefits from Oracle's cloud scale, security services, and marketplace delivery model, simplifying procurement and lifecycle management.
For context on Oracle Cloud services, see Oracle Cloud Infrastructure. Learn more about privacy-enhancing technologies from the vendor at Duality Technologies.
Oracle Defense Ecosystem: more participants, more momentum
- Startups and enterprises gain access to Oracle resources, preferred pricing, and expert guidance.
- Faster mission alignment: support with technical validation, security reviews, and go-to-market pathways in the defense sector.
- Outcome: shorter timelines from prototype to operational use, with clearer paths to scaled adoption.
Practical steps for program leaders and CISOs
- Identify use cases where data cannot be shared in the clear (intel fusion, logistics, coalition ops, law enforcement analytics). Prioritize solutions that keep data protected in use.
- Confirm deployment targets early: specialized, sovereign, or classified Oracle Cloud environments. Validate data residency, cross-domain needs, and connectivity.
- Map to existing ATO paths. Ask for documentation and control inheritance to reduce accreditation workload.
- Set performance gates: latency and throughput for encrypted queries, cost per analysis, model accuracy impact.
- Run a limited pilot with red-team review of privacy claims, logging, and audit. Require exportable evidence for compliance.
Key questions to ask vendors
- How is privacy preserved end-to-end (at rest, in transit, and during compute)? What cryptographic approaches are used?
- What are the performance characteristics for encrypted analytics at operational scale?
- How do you handle data residency, multi-tenant separation, and cross-domain transfers?
- What audit, key management, and incident response controls integrate with our current stack?
- What's the deployment and pricing model in specialized and classified environments?
Bottom line
For agencies, this partnership is about extracting value from sensitive data without exposing it. If your mission depends on collaboration across units, partners, or nations, privacy-first AI on Oracle Cloud can reduce risk while keeping analysis moving.
Upskill your team
If you're planning pilots or building an internal AI playbook, you can explore role-based AI training options here: AI courses by job.
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