The engine that runs the autonomous SOC.
Planner, Governor, Executor, and a mesh of specialist agents. OmniSense investigates every alert end to end and closes it, with every action checked against your policy by code that sits outside the model.
Five pillars.
One engine.
Adaptive Orchestrator
The coordination layer. It plans the response to what's actually in front of it, runs it through what you already have, and decides what needs a human before anything closes. Every other pillar plugs into this loop.
Here's how it decides →
Three parts. One loop. Nothing skips the gate.
The Planner reasons about what an alert needs and produces a plan. The Executor carries out what gets approved. The Governor decides what happens next. Reasoning happens in the model. Enforcement happens outside it, in code, and the two never trade places.
Planner
Reads the alert, the environment, and prior cases. Proposes every action. Approves none of them.
Autonomy Gate
enforcement pointFires per action, before execution. Checks the proposed action against your policy and either allows it, holds it for a named approver, or blocks it. Policy is set by you, per action type, not per platform.
Executor
Runs what the gate allows. Nothing reaches your environment without passing through it first.
Decision Governor
Fires once, after the full run. Issues one of three verdicts: close the case, escalate to a human, or issue a new plan.
Planner
Reads the alert, the environment, and prior cases. Proposes every action. Approves none of them.
Autonomy Gate
enforcement pointFires per action, before execution. Checks the proposed action against your policy and either allows it, holds it for a named approver, or blocks it. Policy is set by you, per action type, not per platform.
Executor
Runs what the gate allows. Nothing reaches your environment without passing through it first.
Decision Governor
Fires once, after the full run. Issues one of three verdicts: close the case, escalate to a human, or issue a new plan.
Not a restart. The Governor issues a delta, and the Planner receives the original plan, every action already taken, and the Governor's reasoning as context for the next pass.
Pick the one that took your best analyst all night. Send it to us, sanitized however you need. We'll run it through the loop you just read about, and hand you back the case record, start to finish. Not a demo script. Your alert.
Agents in the mesh
OmniSense's autonomous SOC agents in the mesh accelerate alert containment, optimizing security operations with faster incident analysis, remediation, and response.
Classification Agent
The Classification Agent categorizes incoming alerts based on type (e.g., phishing, malware, insider threat). This helps in efficient triaging and routing of the alerts for appropriate action.
Suggest Playbook Agent
The Suggest Playbook Agent proposes relevant playbooks to follow based on the nature of the incident. It helps in ensuring that the right procedures are applied, aligning actions with pre-configured, best-practice response procedures.
Assign Analyst Agent
The Assign Analyst Agent automatically assigns alerts to available analysts based on their expertise and workload. This optimizes resource allocation, ensuring that the right person handles the right incident.
Header Analysis Agent
Analysis email headers to detect spoofing, relay abuse, sender mismatches and anomalous routing, enhancing phishing detection, sender trust scoring and automated triage.
Pre Processor Agent
Processes and normalizes raw alerts by extracting key entities and context for downstream triage and enrichment.
Enrichment Agent
The Enrichment Agent gathers external threat intelligence, asset data, and historical context to add depth to incoming alerts. It ensures that each alert is enriched with relevant details for better analysis and decision-making.
Analysis Agent
The Analysis Agent analyzes alerts to identify patterns, behaviors, and trends. It examines alert data and context, highlighting anomalous activities and key indicators, aiding the analyst in setting to quicker threat detection.
Remediation Agent
The Remediation Agent executes containment actions, such as isolating endpoints or blocking IPs, to automate remediation, ensuring swift and consistent incident response.
Suggested Actions Agent
The Suggested Actions Agent proposes targeted response steps based on alert context and severity, providing analysts with timely and appropriate responses to threats.
Classification Agent
The Classification Agent categorizes incoming alerts based on type (e.g., phishing, malware, insider threat). This helps in efficient triaging and routing of the alerts for appropriate action.
Suggest Playbook Agent
The Suggest Playbook Agent proposes relevant playbooks to follow based on the nature of the incident. It helps in ensuring that the right procedures are applied, aligning actions with pre-configured, best-practice response procedures.
Assign Analyst Agent
The Assign Analyst Agent automatically assigns alerts to available analysts based on their expertise and workload. This optimizes resource allocation, ensuring that the right person handles the right incident.
Header Analysis Agent
Analysis email headers to detect spoofing, relay abuse, sender mismatches and anomalous routing, enhancing phishing detection, sender trust scoring and automated triage.
Pre Processor Agent
Processes and normalizes raw alerts by extracting key entities and context for downstream triage and enrichment.
Enrichment Agent
The Enrichment Agent gathers external threat intelligence, asset data, and historical context to add depth to incoming alerts. It ensures that each alert is enriched with relevant details for better analysis and decision-making.
Analysis Agent
The Analysis Agent analyzes alerts to identify patterns, behaviors, and trends. It examines alert data and context, highlighting anomalous activities and key indicators, aiding the analyst in setting to quicker threat detection.
Remediation Agent
The Remediation Agent executes containment actions, such as isolating endpoints or blocking IPs, to automate remediation, ensuring swift and consistent incident response.
Suggested Actions Agent
The Suggested Actions Agent proposes targeted response steps based on alert context and severity, providing analysts with timely and appropriate responses to threats.
See Autonomous SOC in Action
Watch how SIRP ingests a live alert, constructs relational context, computes risk, enforces policy boundaries, and executes containment actions autonomously — without manual routing or workflow delays.
This is not playbook automation.
This is governed decision execution.
Every connection is something OmniSense can act on.
OmniSense connects to the SIEM, endpoint, identity, and ticketing tools your SOC already runs. Each connection becomes an action agents can take, governed by the same policy you set for everything else. When something in your environment is not in the catalog, you build the integration yourself against the open integration framework, and it arrives under the same policy model as the rest. Air-gapped deployments included.
