Show HN: Airgap-check – find what your AI app silently downloads offline
What happened
Airgap‑check is an open‑source tool that monitors an AI application’s runtime environment to discover any files or models it downloads without the user’s knowledge, even when the app is supposed to run in an offline or “air‑gapped” setting. By intercepting network requests and logging fetched resources, it reveals hidden dependencies that could compromise privacy, security, or reproducibility. This helps developers verify that their AI software truly operates without unexpected external data pulls.
Why it matters
The tool gives AI developers and enterprises a way to audit and harden their models against covert data exfiltration, boosting trust and regulatory compliance. Wider adoption could raise industry standards for transparency and security in AI deployments.
Is this a big deal?
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