Sold by: Sumo Logic Inc.
Deployed on AWS
Sumo Logic Dojo AI is a team of AI agents built into the Sumo Logic platform. It helps security and operations teams find problems, understand them, and act on them faster. Ask Mobot, the Dojo AI assistant, a question in plain English. It sends the work to specialist agents for security triage, investigation, response and optimizations, then gives one clear answer with next steps.
Overview
Sumo Logic Dojo AI brings agentic AI to the Sumo Logic platform. Instead of writing queries and moving between tools, teams ask Mobot in plain English, for example "Why did checkout errors spike last night?" or "Is this login alert malicious?". Mobot works out what is needed, sends the task to the right specialist agent, and combines the results into one answer with next steps.
Specialist agents:
- SOC Analyst Agent: reviews Cloud SIEM insights, gives a verdict such as Malicious or Suspicious, and recommends containment actions. Actions run only after an analyst approves, and the agent confirms each action worked.
- Root Cause Analysis Agent: looks at logs, metrics, traces, alerts, deployments, and data from tools such as PagerDuty, so teams find the root cause in minutes and get recommended fixes.
- Log Analysis Agent: finds queries that teams run again and again but that have no monitor yet, and helps turn them into monitors that alert automatically.
- Platform Optimization Agent: collects recommendations in one Recommendation Hub, such as missing data sources and queries that can run faster, and lets teams act on each one directly.
Dojo AI runs on AWS inside the Sumo Logic SaaS platform and uses Amazon Bedrock foundation models with Bedrock Guardrails. It works with AWS data out of the box, including CloudTrail, GuardDuty, VPC Flow Logs, and CloudWatch. Role-based access control means agents only see the data the user is allowed to see, and every agent action is logged for audit
Highlights
- One assistant, many agents: ask Mobot in plain English. It sends work to specialist agents for security, root cause analysis, log analysis, and optimization, then gives one answer with next steps
- Faster response with a human in control: the SOC Analyst Agent triages Cloud SIEM insights, gives a verdict, and runs containment actions only after an analyst approves
- Secure and built on AWS: Amazon Bedrock with Bedrock Guardrails, role-based access control, and audit logs for every agent action. Works with CloudTrail, GuardDuty, VPC Flow Logs, and CloudWatch
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Dimension | Description | Cost/month |
|---|---|---|
AI Credits | Enterprise Plan | $1.00 |
Dimensions summary
This listing has one pricing dimension: AI Credits billed under the Enterprise Plan. You buy credits as a pooled monthly capacity that your team draws from across the platform's AI agents. Credits act as a shared unit of value rather than licensing each AI capability separately. You consume credits as you activate and use capabilities, so spending reflects actual usage within your licensed pool. The Enterprise Plan sets the scope of this credit allocation. Contact the vendor to confirm the credit quantity and configuration that fits your needs.
Top-of-mind questions for buyers
A credit is the unit of measure used to pay for platform capabilities within your subscription. Credits form a shared pool your team draws from. You consume credits when you activate and use AI capabilities, such as the conversational assistant or the agent that investigates alerts. Spending reflects actual usage, not a per-product license.
Usage spikes do not trigger overage charges or cap penalties. Your credit utilization reflects the capabilities used during that time. Tracking is real-time, so you see consumption as it happens. You draw from your licensed pool rather than paying after-the-fact rates for increased use.
Yes, for some capabilities. The agent that investigates security alerts requires SIEM plus credits to function. The conversational assistant includes a set number of daily prompts per user, with credits adding pooled monthly capacity beyond that. Confirm which capabilities your configuration activates at the time of subscription.
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