System and method to securely distribute authenticated and trusted data streams to AI systems

This invention describes a method to collect data, called metadata, from various devices and send it securely to artificial intelligence (AI) systems for analysis. It ensures the data is authentic and hasn't been tampered with by using digital signatures and hashes, providing a clear history of where the data came from. The claims specify that this involves configuring special connectors with details like device types and webhooks, and the metadata itself can be various forms of text, numbers, images, or audio.

Why it matters: The exponential growth of AI systems since 2024 has amplified the critical need for trusted, verifiable data streams. This invention addresses the increasing demand for data provenance to prevent AI model poisoning and ensure reliable analytics.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedDistributed software system, secure data handling, filtering

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