
"The SOC Analyst Agent applies agentic AI reasoning to streamline triage and investigation. It provides severity ratings for alerts, collects related activity, and provides context for analysts. By filtering out noise and repetitive reviews, analysts can focus on real threats and potentially achieve faster, more consistent results. The Knowledge Agent provides immediate, AI-powered answers to "how-to" questions in natural language. Users receive simple, quotable answers from documentation and product knowledge via Mobot, Dojo AI's conversational interface."
"The third addition is the Sumo Logic Model Context Protocol Server. This extends Dojo AI to a connected, agentic ecosystem. Organizations can integrate their own copilots, proprietary models, and third-party AI systems while maintaining the scale, consistency, and security of Sumo Logic. The SOC Analyst Agent and MCP server are currently available in beta and prototype for select customers. General availability is planned for 2026. The Knowledge Agent is available today within the Sumo Logic platform."
Modern security operations centers face growing alert volumes, fragmented tools, and pressure to respond faster. Sumo Logic Dojo AI combines agentic AI, log intelligence, and model integration to provide control and context for security teams. Agents process signals within Dojo AI to generate context-aware responses. The SOC Analyst Agent streamlines triage by assigning severity ratings, collecting related activity, and filtering repetitive noise to focus analysts on real threats. The Knowledge Agent delivers AI-powered, quotable answers to "how-to" questions via Mobot, improving self-service and adoption. The Model Context Protocol Server enables integration of in-house copilots, proprietary models, and third-party AI while preserving scale and security. The SOC Analyst Agent and MCP are in beta/prototype for select customers with general availability planned for 2026; the Knowledge Agent is available today.
Read at Techzine Global
Unable to calculate read time
Collection
[
|
...
]