How is agentic SOAR different from an AI SOC analyst?

AI SOC analyst tools focus on triage: they investigate and summarize, then hand the conclusion to a human queue. Agentic SOAR carries the same investigation through to response: actions executed in your stack, gated by human approval where you set the line.

Does agentic SOAR replace SOC analysts?

No. It replaces the repetitive tier-1 work that burns analysts out: triage at volume, enrichment, routine containment. Humans keep the contested verdicts, the high-blast-radius approvals, and the engineering of detections and autonomy policy. The honest framing is labor reallocation, not headcount magic.

How do you trust an agentic system in production?

You should not extend trust upfront, and a credible vendor will not ask you to. Trust is earned through gates and receipts: start with every action requiring human approval, read the reasoning the agent shows for each decision, and widen autonomy per use case as the agent proves itself. If a vendor cannot show a complete decision trail, do not buy autonomy from them.

Do you still need playbooks with agentic SOAR?

You still need policy and procedure, but you express them in plain language instructions and approval rules instead of flowcharts. Your existing SOPs are the starting point: agentic systems consume the runbook a human would read rather than a diagram someone has to rebuild.

The category, defined

What is agentic SOAR?

Q: What is agentic SOAR?

Agentic SOAR is security orchestration, automation, and response where reasoning AI agents, not pre-built playbooks, do the investigation and drive the response. Agents investigate alerts at analyst depth, decide with evidence attached, and act through your existing tools under autonomy limits a human sets. The defining properties are reasoning instead of branching logic, no playbook maintenance, and an auditable trail for every decision.

A plain-English definition from a team building it, including the parts vendors usually skip: what it does not do, and how to tell real autonomy from a rules engine in a trench coat.

See it work a case Compare the approaches

Definition

Agentic SOAR is security orchestration, automation, and response where reasoning AI agents, not pre-built playbooks, do the investigation and drive the response. Agents read an alert, pull context from your stack, reason to a conclusion with the evidence attached, and act through your existing tools, within autonomy limits a human sets and with every decision recorded on an audit trail.

How we got here

Three eras of SOC automation.

ERA 1 · PLAYBOOK SOAR

Automated clicking

Flowcharts wired to APIs. Powerful when the world matches the diagram, brittle the moment it does not. The hidden cost: a permanent engineering backlog of broken playbooks, and automation most teams switch half off.

ERA 2 · AI SOC ANALYSTS

Automated triage

LLM-era tools that investigate and summarize alerts well, then stop. The verdict still lands in a human queue, so the SOC gets faster reading, not fewer actions. Better, but the labor moved rather than shrank.

ERA 3 · AGENTIC SOAR

Automated decisions, sealed actions

You ask for an outcome; the agent plans first, then carries the case from alert to response: investigate, decide with evidence, then act through your tools, autonomously where you allow it, behind the Seal where you do not. The playbook is gone; the receipts are not.

What Era 3 looks like in Soarcery

One conversation. The Seal on every consequential move.

The abstract category gets concrete here: you ask the Familiar for an outcome in plain English, it plans first, and it detects, responds, and records behind one conversation, with the Seal on every consequential action.

The Familiar

One conversational front door. State an outcome; it plans the work, shows you the steps and tools, and casts the Spell across your stack once you approve. It plans and recommends; the Seal disposes.

Plans first, seals the rest

Detect

Reads and correlates

Signals land from your tools and get correlated by entity into one timeline, mapped to MITRE ATT&CK, with the evidence kept attached.

Respond

Plans and casts the Spell

Contain, evict, and restore across the tools you run, mapped to MITRE D3FEND. Reversible by design, with consequential steps held at the Seal.

Record

Writes down every decision

The case documents itself: evidence, confidence, and approver on one replayable receipt, kept in sync with your ticketing.

The test that matters

Five things to demand from anything labelled "agentic."

The label is free. These are not. We publish this list because we are happy to be measured by it, and you should measure everyone by it.

Reasoning you can read

Every conclusion should carry its evidence and its logic. If the system cannot show its work, you are buying trust on credit.

Actions, not just summaries

Ask what the system actually did last week: messages quarantined, hosts isolated, accounts disabled. "Autonomous alerting" is triage with better fonts.

A seal you control

Autonomy should be a per-use-case dial with a seal on destructive actions, not a global switch. You decide where the line sits, and move it when trust is earned.

A complete trail

Alert to action on one replayable record: tool calls, costs, confidence, and the human who approved what. If they cannot show this page, walk.

Reversibility by default

Automated responses should prefer actions that can be undone, and label the ones that cannot. One-way doors are where autonomy goes to die.

Our answer

Judge us by it

The interactive tour shows all five on a real case, ungated, in three minutes. That is the whole pitch.

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The related term

And an agentic SOC analyst?

The phrase is everywhere and the definitions are conveniently vague. If agentic SOAR is the platform, the agentic SOC analyst is the agent doing the work inside it, with the boundary conditions that separate a working one from a marketing slide.

Definition

An agentic SOC analyst is an AI agent that performs tier-1 security operations work the way a human analyst would: it reads the alert, pulls context from your stack, enriches the indicators, reasons to a conclusion with the evidence attached, and either closes the case or escalates a finding. In agentic SOAR it also casts the response as Spells, with consequential actions held at the Seal a human controls.

A real agentic analyst does

✓Investigate every alert at full depth, including the boring ones, in seconds to minutes.
✓Cite a tool result for every claim: intel lookups, log searches, domain age, click-through checks.
✓State confidence and show the reasoning behind every verdict, readable by a human.
✓Close false positives on its own where you allow it, with the full record kept.
✓Carry confirmed incidents through to response: cast Spells to quarantine, block, disable, escalate.

It must never quietly

!Take a high-blast-radius action without an explicit, recorded human Seal.
!Collapse disagreement between tools into one tidy score with no story.
!Mark a step successful when the underlying tool call failed.
!Prefer an irreversible action when a reversible one exists.
!Ask for trust it has not earned. Autonomy widens with evidence, never by default.

Common questions

Asked honestly, answered the same way.

How is agentic SOAR different from traditional SOAR?

Traditional SOAR executes flowcharts a human builds and maintains. It automates the clicking, and the thinking stays with your analysts, plus they inherit the playbook backlog. Agentic SOAR replaces the flowchart with a reasoning agent that adapts to context and to tool changes, so the work shifts from maintaining automation to supervising decisions.

How is it different from an "AI SOC analyst"?

AI SOC analyst tools investigate and summarize, then hand the conclusion to your queue. Useful, but the action item still belongs to a human. Agentic SOAR carries the same investigation through to the response itself, with the consequential actions held at an approval gate you control. The test: ask what the tool did, not what it read.

Does it replace SOC analysts?

No, and be suspicious of anyone who winks otherwise. It replaces the work analysts hate: triage at volume, enrichment, routine containment, 3am false positives. Humans keep the contested calls, the high-blast-radius approvals, and the detection engineering. We wrote a whole page on this for the analysts themselves.

How do you trust it?

You do not, at first, and that is by design. Start with every action gated. Read the reasoning on each decision. Watch the agent be right for a few weeks. Then widen autonomy one use case at a time. Trust is the output of the system, not a precondition for buying it.

Do SOPs and runbooks still matter?

More than ever. They become the instructions the agent actually follows, in plain language instead of a diagram. If your runbook says "check whether anyone clicked before quarantining," the agent does exactly that, and cites it.

Words are cheap

The definition, demonstrated.

Walk one real case from alert to receipt. Three minutes, no signup.

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