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The Miru Agentic Framework powers real-time investigation agents that:
Execute parallel queries across tools and datasets
Expand entities and relationships in a live knowledge graph
Adapt strategy as evidence emerges
Produce explainable, evidence-backed conclusions
The result: the most precise autonomous investigations - fewer false positives, explainable actions, and truly preemptive defense.
Connect Internal Documents, Intelligence, Run-books, and Policies
With built-in Retrieval-Augmented Generation (RAG), agents generate conclusions that are accurate, contextual, and continuously updated as your data changes.
Miru agents integrate directly with your existing tools and APIs to perform real investigative actions
- Fetch and enrich account or infrastructure data
- Trigger downstream workflows
- Log outcomes and evidence
- Send updates in real time
Configure agents to deliver completed hunts and interim findings to:
- Slack
- Email
- Webhook
Miru gives analysts and autonomous agents a shared, live investigation workspace. Agents initiate hunts by expanding entities, pivoting across tools, and building the investigation graph in real time.
Analysts can step in at any point to inspect evidence, ask follow-up questions, redirect the investigation, or take action - without losing context. Miru gives analysts and autonomous agents a shared, live investigation workspace.
Agents and humans operate in the same investigation, with full visibility into discoveries, evidence, and decisions.
Ask questions, pivot from any node, and explore hypotheses - all grounded in the live graph and prior hunts.
Every agent run creates a dedicated workspace you can resume, redirect, escalate, or conclude instantly.
Autonomous investigations reduce complex hunt time by over 80% versus manual workflows.
Parallel agent execution delivers an additional 60%+ reduction beyond autonomous, sequential runs.
End-to-end investigations complete in minutes, even for complex, multi-stage hunts.