Fuzzy cyber detection pattern matching

This invention helps detect suspicious activity in computer systems by looking for patterns. It works by turning all computer actions into a kind of time-based map. Then, it uses a special artificial intelligence (specifically, a trained Graph Neural Network) to convert sections of this map into numerical codes, and compares these codes to known suspicious patterns to find similar, even if not exact, matches.

Why it matters: Since 2020, the field of Graph Neural Networks has matured significantly, with more robust frameworks and accessible expertise for training and deploying such complex models for pattern detection. This makes the specialized AI component of this cyber detection system more feasible to implement and scale today.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, GNNs, training data

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