Should teams replace SOAR entirely with agentic SOC workflows?

Why This Matters for Security Teams

Replacing SOAR wholesale sounds efficient, but it changes the operating model of the SOC. SOAR is designed for deterministic orchestration: when an alert meets known criteria, a playbook can isolate hosts, disable accounts, or open tickets with predictable outcomes. agentic soc workflows are different. They can reason across signals, gather evidence, and adapt their next step, which is useful when the alert is ambiguous or spans multiple systems.

The risk is treating autonomy as a universal upgrade. Security leaders need to distinguish between repeatable response actions and investigative work that benefits from judgment and context. That is why current guidance in the NIST AI Risk Management Framework and emerging agentic ai guidance emphasizes governance, oversight, and validation of outputs rather than blanket automation. The same caution appears in the OWASP Agentic AI Top 10, where tool misuse, prompt injection, and excessive agency can turn an investigator into a liability.

In practice, many security teams discover the boundary between orchestration and autonomy only after an automated response has already disrupted a business-critical workflow.

How It Works in Practice

Most mature environments will use a split model. SOAR continues to handle stable actions where the trigger, decision, and response are tightly defined. Agentic SOC workflows sit above or alongside those playbooks and focus on tasks that need evidence collection, correlation, and iterative reasoning. A practical pattern is to let the agent enrich the alert, query logs, review recent changes, and summarize likely causes, then hand off the final containment step to a constrained playbook.

That division matters because agents need guardrails. They should not have unrestricted write access to production systems, and they should not be allowed to chain tool calls without policy checks. The NIST AI Risk Management Framework is useful here because it forces teams to define acceptable behavior, monitoring, and escalation criteria before deployment. For attack-pattern thinking, the MITRE ATLAS adversarial AI threat matrix helps teams model how attackers may poison inputs, manipulate context, or exploit agent tool use.

• Use SOAR for deterministic tasks such as ticketing, enrichment, quarantines, and account disablement.
• Use agents for triage, evidence gathering, hypothesis generation, and cross-domain correlation.
• Require human approval for high-impact actions, especially when systems can be disrupted externally.
• Log every prompt, tool call, decision, and response so incident review can reconstruct the workflow.

Security leaders should also test whether the agent’s context sources are trustworthy, because bad telemetry can produce confident but wrong conclusions. These controls tend to break down in highly dynamic cloud environments where permissions, assets, and telemetry sources change faster than the workflow policy can be maintained.

Common Variations and Edge Cases

Tighter control over agentic workflows often increases operational overhead, requiring organisations to balance faster investigation against stronger review and containment. That tradeoff is especially visible in regulated sectors, where automation must be explainable and auditable. There is no universal standard yet for how much autonomy an agentic SOC should have, so best practice is evolving rather than settled.

Some teams only need agentic capability for a subset of workflows, such as phishing analysis, threat hunting, or insider-risk triage. Others may never replace SOAR at all, because their playbooks are already reliable and their main problem is execution speed, not reasoning depth. In these cases, agents should augment the workflow rather than displace it. The CSA MAESTRO agentic AI threat modeling framework is helpful for deciding where autonomy is appropriate and where explicit constraints are needed.

Edge cases also appear when agents are allowed to interact with identity and privileged access systems. If a workflow can disable accounts, rotate secrets, or request elevated access, then the SOC design starts to overlap with identity governance and privileged access management. In those situations, teams should treat agent actions like privileged operations, with approvals, scoping, and revocation paths. That is the point where a seemingly simple SOC modernization becomes an identity security design problem.

Related resources from NHI Mgmt Group

• How should security teams implement agentic SOC workflows without losing control over response actions?
• How should SOC teams govern agentic workflows that can act across tools?
• How should security teams implement agentic AI in SOC workflows safely?
• When should teams add human approval to agentic workflows?