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Why Cloud‑Based AI Puts Sensitive Data at Risk

Documents must be uploaded to external servers
Cloud‑based AI requires sending documents outside your environment, reducing direct control over where data is processed and stored.

Data retention policies are often unclear
Uploaded content may be logged, retained, or used for service improvement, depending on provider policies that can change over time.

Internet access is required
Cloud AI depends on continuous network connectivity, limiting use in restricted, secure, or offline environments.

Confidentiality and compliance risks increase
External data handling can create challenges for meeting confidentiality obligations and regulatory requirements.




When sensitive documents leave your system, control shifts from your organization to a third party. Even reputable cloud providers operate shared infrastructure, governed by policies that may not align with legal, financial, or government requirements.

For organizations handling confidential, regulated, or mission‑critical information, this introduces unnecessary exposure. The combination of external processing, unclear retention practices, and network dependency increases both operational risk and compliance burden.

This is why cloud‑based AI is often unsuitable for environments where data must remain contained, access must be predictable, and security controls cannot rely on external assurances.

How Ironholm AI Keeps Your Data Private

Local Processing by Default

AI runs entirely on your system, keeping data inside your perimeter.

No Cloud Uploads or External APIs

Your documents are never transmitted to third‑party services.

Works Offline in Secure Environments

Use AI without internet access, even in restricted or air‑gapped settings.

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