Augtera Launches NLP Based Streaming Log Analysis Solution


Augtera also announced Zero Day Anomalies for syslog, detecting unusual patterns when they first occur

Augtera Networks announced a major innovation in streaming log analysis, utilising real-time natural language processing (NLP). The next evolution in log analysis is moving from text matching to understanding meaning, both the semantics and the context of a text, in real-time, for proactive insights. Natural language processing, combined with other AI/ML techniques, enables innovative new capabilities while also reducing noise.

The first feature that Augtera is announcing based on NLP is Zero Day Anomalies for syslog, which also leverages clustering and machine learning. These new additions to Augtera’s Network AI platform are the result of over a year of R&D and are powered by new proprietary algorithms. These algorithms build ML models that leverage NLP over Big Data. They are already deployed in production to predict Zero Day Anomalies in environments with hundreds of millions of syslog messages an hour.

“The ability to understand log message semantics will be the foundation of many future capabilities. Augtera has leveraged the team’s experience in embedded software development, to write from scratch, high-performance and cost-effective AI/ML algorithms, that scale to billions of streaming log messages per day, without message loss. Engineering challenges for real-time streaming AI/ML are significantly different than those for historical data lake mining. Our implementation supports the largest data centres and networks,” said Bhupesh Kothari, Co-Founder & VP of Engineering, Augtera Networks.

Augtera Network’s algorithms and models are optimised for network operations based on real-world deployments. While the Augtera platform supports the most demanding and largest network operations environments, it has also been developed to provide immediate value upon initial installation, without configuration. Our focus is network operations automation through automated anomaly detection, incident prevention, and trouble-ticketing. Zero Day Anomaly Detection for Syslog is immediately available as a base capability in the platform, at no additional cost.