Agentic Incident Command Center
Multi-agent IT and security incident response with policy gates, evidence snapshots, and reversible execution.
Purpose
Run an incident from signal to verified remediation without turning the agent into an unbounded admin. ContextOS coordinates detector, diagnosis, change-planning, communications, and remediation agents against the same evidence snapshot, then gates every network, privileged, or destructive action.
Why this is agentic-first
Classic automation works when the incident matches a runbook. Real incidents often cross APM, SIEM, cloud, ticketing, IAM, and customer communications. Gartner uses cybersecurity threat response as an example of task-specific agents that scan logs and behavior, assess the issue, and initiate response. ServiceNow describes agent orchestration across network management, SIEM, APM, and human network approval for incident resolution.
This is a ContextOS-native use case because the problem is not “summarize logs.” It is “decide what can safely be changed, who must approve it, and how to replay the decision later.”
Context Pack
| Layer | Required entries |
|---|---|
decision_layer.decision_specs[] | incident.triage.classify, incident.remediation.execute, incident.customer_update.publish |
policy_layer.policy_bundles[] | Severity policy, change-freeze policy, service ownership policy, data-disclosure policy |
policy_layer.approval_gates[] | GATE_SRE_APPROVAL, GATE_SECURITY_APPROVAL, GATE_CHANGE_MANAGER |
tooling_layer.adapter_registry[] | adp_apm.query, adp_siem.search, adp_cloud.scale, adp_iam.revoke_session, adp_statuspage.post, adp_ticket.update |
memory_layer.write_classes_allowed | incident_pattern, runbook_correction, decision_outcome |
evaluation_layer.eval_targets[] | false-positive rate, remediation rollback rate, approval latency, time-to-diagnosis |
Agent roles
| Agent | Responsibility | Boundary |
|---|---|---|
| Signal Agent | Correlates alerts, traces, deploys, and user-impact signals. | Read-only across observability and ticketing. |
| Diagnosis Agent | Proposes likely root cause and confidence. | Cannot change systems. |
| Remediation Planner | Produces candidate actions with blast radius and rollback plan. | Cannot execute without policy decision. |
| Communications Agent | Drafts internal and external status updates. | Publication is gated. |
| Guardian Agent | Verifies policy, scope, evidence, and rollback readiness. | Can block or escalate any step. |
Execution flow
invokeAgentarrives withintent=incident.resolve, service, symptoms, and active alert IDs.- Compiler pins the service map, ownership graph, change calendar, policy bundle, and observability snapshot.
- Signal Agent correlates APM, logs, traces, deploy history, and open incidents.
- Diagnosis Agent emits candidate causes with evidence references.
- Remediation Planner emits one or more plans, each with risk tier, rollback, and expected user impact.
- Guardian Agent checks blast radius and policy constraints.
- Low-risk read-only checks execute inline. Scaling, IAM, config, database, or network actions route through the required gate.
- The approved action executes through the Tool Gateway with idempotency and rollback metadata.
- Communications Agent drafts updates; publication is gated when customer-visible.
- ContextOS emits a
DecisionRecordwith evidence, approvals, controls, trace, and post-action verification.
Decision gates
| Gate | Trigger | Required evidence |
|---|---|---|
GATE_SRE_APPROVAL | Any production remediation with customer impact. | service owner, active incident, rollback plan, blast radius |
GATE_SECURITY_APPROVAL | IAM, token revocation, firewall, containment, or forensic action. | security severity, affected identities, containment rationale |
GATE_CHANGE_MANAGER | Change-freeze window, regulated service, or irreversible migration. | change calendar, exception reason, business owner |
Failure modes
- Alert storm - evidence pack must deduplicate alerts by service, symptom, deploy, and user impact before planning.
- Wrong root cause - Guardian requires post-action verification and can force
replanwhen the metric does not recover. - Unsafe remediation - policy blocks actions without rollback, owner approval, or tenant boundary proof.
- Tool side-effect race - all privileged tools require idempotency keys and current-state preconditions.
- Incident communication leak - external updates must pass data-disclosure policy before publishing.
Metrics
- Mean time to classify, mean time to propose, mean time to approve, mean time to restore.
- Remediation acceptance rate by severity.
- Rollback rate and failed-change rate.
- False-correlation rate between alert and root cause.
- Evidence completeness at approval.
- Human override and Guardian block rate.
Research signals
- Gartner predicts task-specific agents in 40% of enterprise apps by 2026, with cybersecurity threat response as a named example.
- ServiceNow describes agent orchestration for network security incidents, including coordination across SIEM, APM, and human approval.
- McKinsey’s agentic AI security playbook emphasizes ownership, access rights, agent-to-agent controls, and traceability.