Defense and aerospace contractors handle some of the most tightly controlled data in the world: export-restricted technical data, controlled vendor documents, engineering IP, program-specific test results, and proposal artifacts. These assets are governed by frameworks like CMMC, NIST 800-171, ITAR, and internal SSPs that demand total control over how data is processed, stored, and accessed.
Public AI platforms conflict with these requirements. They transmit prompts and completions offsite, log activity by default, run in opaque multi-tenant environments, and can’t guarantee data segregation or auditability. Even routine tasks—like summarizing system requirements or searching old reports—can expose you to policy violations if routed through third-party APIs.
They also don’t integrate with your environment. Public models can’t access Confluence with RBAC, read SharePoint behind CAC, or understand your Git commit history. The output they generate is disconnected from your mission, and often wrong.
IronCloud changes the model.
Instead of sending sensitive material out, IronCloud brings modern AI directly into your infrastructure—on-prem, in GovCloud, or in a private VPC. Data stays local. Prompts and completions never leave your boundary. Telemetry is disabled by default. All processing occurs in hardened, single-tenant containers that your team can monitor, scale, and secure.
IronCloud gives you the power of AI without introducing new compliance risks or operational vulnerabilities. It’s fast, flexible, and secure, because it was built for environments where failure isn’t just costly—it’s unacceptable.
