Abstract
This idea relates to secure digital send workflows in multifunction printers (MFPs) and connected print ecosystems. Conventional solutions rely on static encryption settings, regardless of document sensitivity. The disclosed system integrates optical character recognition (OCR) with a large language model (LLM) to dynamically analyze the sensitivity of scanned content. Based on the analysis, the MFP automatically recommends or enforces adaptive encryption policies, such as TLS 1.3 or stronger transport encryption, AES-256 file encryption, or password-protected PDF delivery. This ensures that personally identifiable information (PII), financial data, or regulated content is protected at the appropriate level without unnecessary redaction or manual intervention.
Creative Commons License
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Recommended Citation
INC, HP, "Dynamic Sensitivity-Aware Encryption in Digital Send Jobs Using OCR and LLM Analysis", Technical Disclosure Commons, (November 17, 2025)
https://www.tdcommons.org/dpubs_series/8888