SOAR GUIDE · LAST CHECKED SEPTEMBER 2026 · EDITORIAL ASSESSMENT
SOAR vs AI SOC: what changes when agents replace playbooks
Cyber AI Comparison team · Last checked September 2026 · Editorial assessment
What to know
SOAR runs logic a person wrote in advance; an AI SOC platform decides the investigation steps at run time, within limits you set. SOAR is dependable for known alert types with fixed responses. AI SOC platforms are built for the long tail, where each alert needs different evidence, and most keep a human decision for high-impact actions.
What does each handle in the alert queue?
- What SOAR already does: playbook automation
- What AI SOC platforms add: AI triage and AI investigation
- What stays with people: the human decision
- Alerts in. SIEM, EDR, identity, email, cloud
- Playbook automation. Known, repeatable patterns. Deterministic. The SOAR layer.
- AI triage. Every alert classified; noise closed with a stated reason
- AI investigation. Evidence gathered across tools; verdict with an audit trail
- Human decision. Approve response, handle what is new or high impact
Figure 1. The alert queue funnel.
What is the difference, row by row?
| Playbook-based SOAR | AI SOC platform | |
|---|---|---|
| Who writes the logic | A playbook author, before the alert arrives | An agent at run time, inside guardrails and instructions |
| Best at | Known alert types with a fixed response | Alerts that each need different evidence |
| When a tool changes | Playbooks that call its API need editing | Depends on the platform; several say agents adapt without a rebuild |
| Explaining a verdict | The playbook path taken | Evidence trail and reasoning, varying by vendor |
| Autonomy | Whatever the playbook does, every time | Levels such as recommend, supervised or auto-run |
| Audit | Playbook run logs | Action trails linked to investigations |
| Typical products | Cortex XSOAR, Splunk SOAR | Mate Security, Torq, Dropzone AI, Prophet Security, 7AI, Intezer, Conifers |
Where do playbooks still win?
Fixed, audited responses: account disablement for leavers, blocking a confirmed-bad indicator across controls, evidence collection for a compliance process. Deterministic steps behave the same way every time, which auditors like. Several AI SOC platforms keep deterministic steps for exactly this reason: Torq runs deterministic and agentic workflows in one engine, and Mate describes Gamebooks as deterministic where they can be.
Where do AI SOC platforms win?
The long tail. A phishing report, an impossible-travel login and a new process on a server each need different lookups, and writing a playbook branch for every variant is where SOAR maintenance grows. AI SOC platforms investigate each alert with the tools available and return a verdict with evidence.
Is it one or the other?
No. Dropzone AI, 7AI and Intezer are built to work alongside a SOAR; Cortex XSOAR adds agents inside playbooks through AgentiX; Mate and Torq replace SOAR but keep deterministic steps. See running SOAR and AI SOC together.
Frequently asked questions
Is an AI SOC the same as an agentic SOC?
The terms are used interchangeably by vendors. Both describe AI agents that triage and investigate alerts and can act within limits.
Does an AI SOC replace a SIEM?
Not in this guide's scope. Most AI SOC platforms read alerts from a SIEM; 7AI describes a federated SIEM that queries data where it lives.