Artificial intelligence cyber security analyst

This cybersecurity system uses AI to learn normal system behavior and flag anomalies. When unusual activity is detected, it forms hypotheses about potential cyber threats, then gathers more data and uses specialized AI models, specifically supervised machine learning models trained on past human analysis of threats, to confirm or refute these possibilities, generating a final report.

Why it matters: Filed before the widespread adoption of advanced generative AI. Modern AI, particularly large language models, could significantly enhance the hypothesis generation and threat analysis steps, moving beyond purely supervised models and human-curated threat examples, making the system more adaptive.

Status: Under examinationA pending application. It has not been granted, and it has not been abandoned.
How hard to build: SpecializedAI model training, data integration, software logic

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