Sumo Logic unveils new Dojo AI agents for security and cloud operations

By Atlas Watchline Staff · Corporate · August 3, 2026

Sumo Logic said its new Dojo AI capabilities are intended to help security and observability teams investigate issues faster. The company cited internal time savings and shorter response times.

Sumo Logic on Aug. 3 announced new and expanded agentic AI capabilities for security and cloud operations, including SOC Analyst Agent, MCP Server and an updated Mobot interface.

The company said the tools are part of its Dojo AI platform and are meant to extend agentic AI across security and observability workflows. It said the capabilities will be shown at Black Hat USA in Las Vegas at booth #5641.

Sumo Logic said its approach is built around telemetry as the “source of truth,” rather than connecting a large language model directly to raw data.

In the release, the company said raw telemetry can lead to generic or unreliable answers and unnecessary credit use. It said Dojo AI uses a secure data lake, SIEM and a context layer that normalizes, correlates and enriches telemetry before autonomous agents act on it.

Jeremy Powell, identified in the release as Sumo Logic’s CISO, said telemetry is the “source of truth” for threat detection, investigation and response. He said Sumo Logic Dojo AI reduced mean time to resolution, or MTTR, by 64% in the company’s own SOC and saved 25 hours per analyst per week.

The release also cited a customer survey in which 68% of respondents said they partially trust AI-created results but still require a human in the loop. The company said accuracy and explainability remain critical for security teams that must verify results using reliable telemetry data.

Sumo Logic did not provide independent verification of the performance figures in the release. The claims appear to be company-reported rather than externally validated.

The company said product details, release dates and functionality are subject to change without notice.

Sources

• PR Newswire release

Editorial note: This article was prepared with AI assistance and includes source attribution for reader review.

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