Analysis
What Is Cloud-AI Data Exfiltration Risk? Definition
Publication date unknown · Discovered nhimg.org
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Publication date unknown · First observed: 15 Oct 2026
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Single-source analysis — one report is available.
Why it matters
Cloud-AI Data Exfiltration Risk frames how AI-mediated workflows broaden the exposure paths for sensitive data, helping defenders reason about access-control, governance, and integration weaknesses in AI deployments.
A glossary entry from NHI Mgmt Group defines Cloud-AI Data Exfiltration Risk as the chance sensitive data leaves approved boundaries when cloud-hosted AI systems process, store, or move it, via prompts, logs, model outputs, connectors, misconfigured storage, and third-party integrations. The entry explains where exfiltration happens across layers and why cloud architecture makes it harder to contain.