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US 2026/0134097 A1Published application
Adaptive detection of security threats through training of computer-implemented models
AssigneeAbnormal AI, Inc.
InventorsLei Xu, Jeshua Alexis Bratman
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Abstract
Adapting detection of security threats, including by retraining computer-implemented models is disclosed. An indication is received that a natural language processing model should be retrained. A list of training samples is generated that includes at least one synthetic training sample. The natural language processing model is retrained at least in part by using the set of generated training samples. The retrained natural language processing model is used to determine a likelihood that a message poses a risk.
Claims1
A system, comprising:
- a processor configured to:
- receive an indication that a natural language processing model should be retrained;
- generate a set of training samples, including at least one synthetic training sample, that corresponds to a sample malicious message;
- retrain the natural language processing model at least in part by using the set of generated training samples;
- and
- use the retrained natural language processing model to determine a likelihood that a message poses a risk;
- and
- a memory coupled to the processor and configured to provide the processor with instructions.
5 more elements
Dependencies are inferred from the claim text.