Sumo Logic Inc. today announced what it calls the first artificial intelligence copilot for DevSecOps, an approach to software development that integrates security practices throughout the entire agile DevOps workflow.

The company said Sumo Logic Mo Copilot can drastically reduce response times to resolve critical issues by applying generative AI to analyzing telemetry, which is data that provides insight into the behavior, performance and health of a system or application.

The company announced the copilot at Amazon Web Services Inc.’s Re:Invent conference, where it also demonstrated a prototype of Generative Context Engine, which provides developer, security and IT operations teams with a single source of truth and remediation recommendations in natural language.

The company said it’s addressing the overwhelming volume of data that systems administrators and engineers need to track to identify problems and root causes. Data growth challenges organizations to provide reliable and secure digital experiences and scale artificial intelligence and machine learning initiatives.

Sumo Logic’s log analytics platform centralizes, stores and analyzes business-critical data in one place, in contrast to the siloed architectures of some observability platforms that have grown over the years through add-on products and acquisitions.

The product is built on Amazon Bedrock, a managed service that simplifies the development of generative AI applications and provides access to a variety of foundation models. It was trained on more than 2,000 custom queries and can contextualize results with visualizations faster that even a seasoned observability specialist could build, the company said. It also integrates with the Sumo Logic Analytics Platform, enabling less experienced team members to formulate complex queries to isolate root causes and identify remediation stops.

Mo Copilot consolidates structured and unstructured logs, with parsed fields, into a single platform for collaborative troubleshooting and decision-making.

In concert with the announcement, Sumo Logic also previewed a prototype of what it calls Dynamic Observability, a new approach based entirely on structured and unstructured log analytics. Dynamic Observability combines the company’s log-based analytics and a multi-large language model architecture to provide operational context that assists in recommending root causes and resolutions for common performance, reliability and security issues.

The company said this new approach, which correlates events and facts, builds visualizations dynamically and generates instructions to guide troubleshooters, will power its next generation of products.

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