How Trellix cut log parsing time from days to minutes with LangGraph Studio and LangSmith

Trellix, a prominent cybersecurity firm, has leveraged LangSmith and LangGraph to develop an internal application called Sidekick, which aims to automate and streamline processes for their engineering teams. This innovation addresses the challenges of a growing backlog of customer requests related to cybersecurity integrations and log parsing, which traditionally required extensive manual effort from developers. Sidekick significantly reduces the time required for log parsing from days to minutes and accelerates the development of plugins, transforming tasks that once took days into ones that can be completed in an afternoon. The use of LangGraph and its visual tool, LangGraph Studio, allowed Trellix to create modular, efficient workflows that are easily explainable to both technical and non-technical stakeholders, boosting confidence and understanding across teams. Furthermore, by utilizing LangSmith for experimentation and performance monitoring, Trellix has been able to test and optimize agent architectures, leading to improved AI agent performance and quicker debugging processes. As a result, Trellix has achieved significant time savings for both engineers and customers, reduced request backlogs, and enhanced stakeholder confidence, with plans to expand Sidekick's capabilities to external partners and further democratize AI-driven solutions in cybersecurity.

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