20250168056. Intelligent Anomaly Detection (Twilio .)
INTELLIGENT ANOMALY DETECTION AND RECOMMENDATION SYSTEMS
Abstract: a computing device can identify an anomaly based on metadata associated with network traffic messages corresponding to a particular account. after identifying the anomaly, the computing device can determine a failure score for the network traffic messages representing a failure rate for the message traffic. the computing device can determine a fluctuation score by comparing the network traffic messages in a current time period to a previous time period. the computing device can determine a sparsity score by analyzing the message traffic in a previous period of time. the computing device can generate an anomaly impact score based on the failure score, the fluctuation score, and the sparsity score and assign the anomaly to a severity bin based on the anomaly impact score.
Inventor(s): Michael Lasso, Darya Shcharbinskaya, Jiahui Cai, Alireza Farasat, Dmitry Rusanovsky, Amit Mahajan, Joshua Ramsden-Pogue, Mariana Simona Mihai, Peter Janovsky
CPC Classification: H04L41/0661 ({by reconfiguring faulty entities})
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- Patent Applications
- Twilio Inc.
- CPC H04L41/0661
- Michael Lasso of San Francisco CA US
- Darya Shcharbinskaya of San Francisco CA US
- Jiahui Cai of San Francisco CA US
- Alireza Farasat of San Francisco CA US
- Dmitry Rusanovsky of San Francisco CA US
- Amit Mahajan of San Francisco CA US
- Joshua Ramsden-Pogue of San Francisco CA US
- Mariana Simona Mihai of San Francisco CA US
- Peter Janovsky of San Francisco CA US