Cybersecurity threat modeling and analysis

This invention describes a computer system that uses artificial intelligence to analyze cybersecurity risks. It works by having one AI model categorize all the parts of a computer system (like servers or software) into security types, and another AI model categorize known cyber threats into those same security types. Then, a threat analyzer looks at how these categorized threats might affect the categorized system parts, and suggests security improvements. The claims specifically narrow this down to using text mining, often with recurrent neural networks, to perform these classifications.

Why it matters: Filed when recurrent neural networks were the standard for text analysis, the intervening years have seen the rise of more powerful and accessible large language models. These newer AI models could significantly enhance the text mining and classification capabilities described, making the system's core functions more robust and easier to implement.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, AI models, text mining

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