Agentic SOC
Detection to response, governed by you
Five AI agents — Detect, Triage, Investigate, Respond, and Report — work in a coordinated pipeline. You configure exactly which actions are autonomous, which need approval, and which stay recommend-only.
The five-agent pipeline
Each agent is purpose-built for one phase of the SOC workflow. Together they handle the full detection-to-close lifecycle.
Detect
Continuous behavioral analytics and deterministic rules surface findings from every connected data source. Each finding is deduped and tagged with MITRE technique, asset owner, and entity history.
Triage
A 12-point structured evaluation answers: Is this a known indicator? Is the behavior anomalous for this entity? Is the timing suspicious? Output: a confidence score, verdict, and evidence package.
Investigate
For escalated findings, the Investigate agent pulls correlated events, traces lateral movement, and assembles a full attack timeline. Average investigation time: 4 minutes vs. 2 hours manually.
Respond
Approved playbooks execute containment actions: isolate endpoint, disable account, block IP, revoke token. Each action is gated by your configured approval policy before execution.
Report
Every closed case generates a structured post-incident report: timeline, root cause, affected assets, actions taken, and recommended hardening steps. Delivered automatically to the case ticket.
Autonomy you control
Configure per-action-class policies. Change them any time. Every change is audited.
| Action | Autonomous | Approval-gated | Recommend-only |
|---|---|---|---|
| Block known-bad IP | ✓ | — | — |
| Enrich entity context | ✓ | — | — |
| Isolate endpoint | — | ✓ | — |
| Disable user account | — | ✓ | — |
| Revoke OAuth token | — | ✓ | — |
| Delete cloud resource | — | — | ✓ |
| Reset MFA credential | — | ✓ | — |
Default policies shown. All thresholds are configurable per environment.
Outcomes from week one
Measured across 150+ customer deployments.
80% of alerts auto-triaged in week 1
Behavioral baselines initialize from historical telemetry. Triage coverage reaches 80%+ within the first 14 days.
4-minute average investigation time
The Investigate agent assembles full attack timelines in minutes — compared to the 90-minute manual average.
Zero missed escalations
Every finding above the confidence threshold generates a case. Nothing is silently dropped or queued for later.
Complete audit trail per case
Agent reasoning, confidence scores, evidence links, and approval events are stored immutably per case.
Configurable without professional services
Autonomy policies, detection thresholds, and escalation routing are all UI-configurable by your team.
Operates across cloud, identity, endpoint, and SaaS
The pipeline processes findings from any connected source through the same five-agent workflow.
Agentic SOC — common questions
How is an Agentic SOC different from SOAR automation?
SOAR automation executes predefined playbooks when conditions match. An Agentic SOC generates the investigation logic dynamically for each alert — analyzing the specific entity, context, and telemetry present. There are no static playbooks to maintain for the investigation phase. The Respond agent uses playbooks only for the approved containment actions.
What does 'governed autonomy' mean in practice?
Every action class — isolate endpoint, disable account, block network destination — has a configured autonomy policy: autonomous, approval-gated, or recommend-only. The policy is enforced by the platform, not by convention. Changes to autonomy policies are logged and require appropriate role permissions.
Can the Agentic SOC operate alongside our existing SIEM?
Yes. ManySignal can ingest findings from your existing SIEM via webhook, API, or the native Splunk and Sentinel integrations. The Triage and Investigate agents enrich those findings with full context, even if the underlying data stays in your SIEM.
What happens when an agent is uncertain?
Agents have explicit confidence thresholds. Below the threshold for autonomous action, the case is escalated to an analyst with the agent's current evidence and the questions that remain unanswered. Analysts are never left with a black-box decision.
How long does it take to see value?
Customers typically see their first triaged alerts within two hours of connecting data sources. Meaningful backlog reduction — defined as 80%+ of alerts receiving a disposition automatically — occurs within two to three weeks as behavioral baselines train on your environment.
What is the implementation timeline for deploying the full five-agent pipeline?
Connector setup and initial alert processing typically complete within the first 48 hours. Behavioral baselines reach production quality within 7–14 days depending on historical telemetry volume. Most customers run the full pipeline — Detect through Report — within the first month. The Respond agent defaults to recommend-only until your team has validated triage quality and explicitly promotes actions to approval-gated or autonomous.
How does ManySignal handle agent failures or degraded performance mid-pipeline?
Each agent has health monitoring and fallback behavior. If the Investigate agent is degraded, cases are escalated to analysts with the Triage verdict and available evidence rather than being held or silently dropped. System health is surfaced in the operations dashboard. ManySignal maintains a 99.9% SLA on the core detection-to-triage pipeline.
Can we limit which data sources each agent has access to?
Yes. Data source access is scoped at the integration level. You can connect a cloud trail to Detect-only without making it available to the Investigate agent's lateral movement queries. This is relevant for environments with strict data compartmentalization requirements or where specific log sources contain sensitive personal data subject to access controls.
How does the agentic approach handle alert storms — when a configuration change triggers thousands of detections simultaneously?
ManySignal's Triage agent applies correlation deduplication before escalation. Alert storms from the same root cause (a single misconfigured detection rule, a batch deployment event) are grouped into a single case rather than generating thousands of individual escalations. The Detect agent also applies rate limiting per rule to prevent a runaway rule from saturating the pipeline.
See the five agents work a live alert
30-minute demo. We'll walk through a real detection — from the initial finding through triage, investigation, and the approval-gated response action.