Understanding SOAR: Importance, Benefits, Limitations of Cybersecurity's Key Response Mechanism

SOAR has had an odd few years. It went from the hottest acronym in security operations to something Gartner now describes as being quietly absorbed into the platforms around it. Both things are true, and understanding why matters more than memorizing the textbook definition, because it changes how you should actually be evaluating tools in 2026.

What SOAR actually is

Security Orchestration, Automation, and Response, a term Gartner coined back in 2015, describes a set of tools that pull different security systems into one coordinated workflow so that routine incident response tasks happen automatically instead of manually. In practice this looks like: an alert fires in your SIEM, a SOAR playbook automatically enriches it with threat intelligence, checks it against known indicators, and either resolves it outright or hands a pre-packaged, already-investigated case to a human analyst. The promise was always to take the repetitive grunt work off a Tier 1 analyst's plate so people could focus on judgment calls that actually need a human.

Three components make up the core of what SOAR does: orchestration (getting disparate tools like firewalls, EDR, and SIEM talking to each other), automation (running playbooks that handle predictable, scripted response steps), and incident response management (centralized case tracking, audit trails, and documented workflows). None of that has changed conceptually since 2015. What's changed is where it lives.

Why Gartner says standalone SOAR is obsolete, and why that's not the bad news it sounds like

This is the part that trips people up. Gartner's 2025 Hype Cycle for Security Operations marked standalone SOAR as obsolete, and the reasoning is worth understanding rather than dismissing as marketing noise. "Labeling SOAR as obsolete comes as the components of the product category have become subsumed by other products and services, while automation is increasingly an expected feature," said Eric Ahlm, senior director analyst at Gartner, in comments to Dark Reading. In other words, the capability didn't go away, it got absorbed into SIEM and XDR platforms as a baseline feature rather than something you buy separately.

This is genuinely good news for most small and mid-sized organizations that were priced out of standalone SOAR platforms a few years ago. SOAR functionality inside a SIEM is now considered common practice and the preferred way to consume the technology, rather than a premium add-on requiring a separate implementation project, separate vendor relationship, and separate integration effort. If you're shopping security tools in 2026 and a vendor pitches you "SOAR" as a standalone line item, that's worth a follow-up question about why it isn't already bundled into whatever SIEM or XDR platform you're also buying.

The market is still growing, just inside other categories

Despite the standalone label going away, the underlying capability keeps expanding. Market sizing estimates vary depending on how narrowly "SOAR" gets defined now that it's embedded in broader platforms, but most trackers put the security orchestration and automation market somewhere in the $2 to $2.5 billion range as of 2025, with projected growth in the mid-teens percentage annually through the end of the decade as more of that spend gets absorbed into SIEM and XDR line items rather than tracked separately.

Why the automation is necessary in the first place: alert fatigue is not an exaggeration

If you want to understand why this category exists at all, look at what SOC analysts are actually dealing with day to day. A 2026 survey from Cybersecurity Insiders found 76% of SOC teams cite alert fatigue as a top operational challenge, and 73% report analyst burnout as a direct consequence. Separately, research from Vectra AI in 2026 found that 63% of security alerts go unaddressed entirely, and 42% go uninvestigated even when flagged. Microsoft's own 2026 SOC data found that 46% of all alerts turn out to be false positives, meaning nearly half of an analyst's daily queue produces zero actual security value once someone finally looks at it.

That's the math SOAR was built to fix: too many alerts, too much noise, not enough hours in an analyst's day to manually triage all of it. Whether the automation lives in a standalone SOAR product or inside your SIEM's native response engine, the underlying problem it's solving hasn't gone anywhere.

How SOAR actually works, in practice

The core mechanism is the playbook, a predefined, automated sequence of investigation and response steps triggered when specific conditions are met. A phishing alert might trigger a playbook that automatically pulls the sender's reputation score, checks whether the link was clicked, quarantines the message across other inboxes that received it, and opens a case with all of that context pre-populated for a human to review. The analyst's job shifts from doing the legwork to making the final call on an already-investigated case. That shift, from manual triage to reviewing automated findings, is the entire value proposition in one sentence.

Where this gets more interesting in 2026 is the move from static, hand-scripted playbooks toward AI agents that reason about an alert in real time rather than following a rigid decision tree written months earlier. A traditional playbook encodes logic in advance. An agentic system is given a goal, a set of available tools, and guardrails, then figures out the sequence of actions itself at runtime. Most SOC teams currently running this kind of automation keep both models active side by side: deterministic playbooks for anything high-risk, like an action that touches production systems or an external party, and agent-based reasoning for the open-ended enrichment work that used to eat up a Tier 1 analyst's entire shift.

Adoption of that AI layer has moved fast. Industry research tracking security practitioners found active use of AI in security operations strategy climbing from around half of organizations to roughly three-quarters in a single year, with detection and response the most common workload handed to it. Confidence hasn't kept pace with adoption, though: the share of practitioners reporting significant shortcomings in AI-driven detection and response climbed from under half to nearly two-thirds over that same period. That gap between "we're using it" and "we trust it completely" is worth sitting with before handing agentic automation any containment authority it hasn't earned yet.

The real limitations, honestly stated

SOAR (or its SIEM-embedded successor) is not a set-and-forget solution, and vendors pitching it that way are oversimplifying.

Playbooks require real maintenance. A playbook written against last year's threat patterns can automate the wrong response just as efficiently as it automates the right one. Someone has to own ongoing playbook review, and that's a real, recurring labor cost that doesn't disappear just because the response itself is automated.

Integration complexity is still real. Connecting a dozen security tools into one coordinated workflow sounds simple in a vendor demo and rarely is in a live environment with legacy systems, inconsistent logging formats, and tools that don't expose clean APIs. The shift toward standardized integration protocols like MCP is helping here, letting AI-enabled systems discover and invoke tools through a shared messaging pattern instead of a bespoke connector for every product, but government guidance on that same protocol has flagged real systemic risk: dynamic tool invocation and implicit trust between components create failure modes that conventional authentication and input validation don't fully cover yet.

Automation authority needs guardrails, not blind trust. Giving an automated system, agentic or scripted, the ability to isolate an endpoint or block a user account is powerful and also genuinely risky if the logic is wrong or the alert was a false positive to begin with. The practical safeguards here look familiar to anyone who's run a mature SOAR program: scope automation credentials narrowly, require human approval before any action touching production or external parties, log every automated decision the same way you'd log an analyst's action, and define in advance what a correct outcome looks like so results can actually be measured rather than assumed.

Should you still care about "SOAR" as a term

Probably not as a shopping category, but absolutely as a set of capabilities. If your SIEM or XDR platform already includes orchestration, automated playbooks, and case management as native features, you likely don't need a separate SOAR purchase in 2026. What you do need is a clear-eyed evaluation of how well those built-in capabilities actually handle your alert volume, whether the vendor's automation engine is deterministic playbooks, agentic reasoning, or some blend of both, and whether your team has the governance discipline to give that automation the right amount of authority, not too little to be useful, not so much that a bad playbook or hallucinated agent decision can cause real damage.

That's a more useful framing than asking "do we need SOAR," which was always a slightly wrong question anyway. The right question is whether your security operations center has enough automated triage to keep pace with alert volume without burning out the humans reviewing what's left. In 2026, that capability is table stakes, wherever it happens to be packaged.

For more on building out a security operations program, see our overview of cybersecurity services and providers who specialize in SOC and incident response.