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ManageEngine: AI's Real Role in SOAR Platforms

Manage Engine
07/15/2026
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In practice, AI is most useful for playbook recommendations, entity extraction from alerts, and helping analysts try it faster. These capabilities reduce noise and manual parsing. Fully autonomous, closed-loop AI response is rarely used in production environments. Most SOAR teams disable it due to risk. Ultimately, SOAR exists to bring structure to chaos. It standardizes how incidents are handled, reduces triage fatigue, improves response speed, and ensures consistent outcomes.

TL;DR

  • AI in SOAR is most effective for playbook recommendations, entity extraction from alerts, and helping analysts triage incidents faster — not full autonomy.
  • Fully autonomous, closed-loop AI response is rarely used in production SOAR environments; most teams disable it due to operational risk.
  • SOAR's core value remains bringing structure to chaos — standardizing incident handling, reducing fatigue, and ensuring consistent security outcomes.

Summary

This short explainer from ManageEngine's 'Understanding SOAR' series cuts through the hype around AI in Security Orchestration, Automation, and Response platforms. Rather than positioning AI as a fully autonomous decision-maker, the video makes a pragmatic case: AI's most practical contributions to SOAR are playbook recommendations, entity extraction from alerts, and accelerating analyst triage workflows. These targeted capabilities meaningfully reduce alert noise and eliminate time-consuming manual parsing without introducing unacceptable operational risk. The video also addresses a common misconception head-on — fully autonomous, closed-loop AI response, where the system acts without human approval, is rarely deployed in real production environments. Most SOAR teams actively disable this capability due to the risk of unintended consequences. The broader takeaway reframes SOAR's core value proposition: regardless of AI involvement, SOAR exists to impose structure on chaotic incident response workflows. It standardizes how security incidents are handled, reduces analyst triage fatigue, improves response speed, and ensures consistent, repeatable outcomes across the security operations team.

Chapters

0:00 - AI's Misunderstood Role in SOAR
0:06 - Practical AI Use Cases
0:19 - Why Autonomous AI Is Avoided
0:27 - SOAR's Core Value Proposition

Key Quotes

0:00 "AI is increasingly being introduced into SOAR, but its role is often misunderstood."
0:19 "Fully autonomous, closed-loop AI response is rarely used in production environments."
0:27 "Ultimately, SOAR exists to bring structure to chaos."

FAQ

Is AI capable of fully automating incident response in SOAR platforms?

Technically yes, but in practice most SOAR teams disable fully autonomous, closed-loop AI response due to the risk of unintended actions. AI is more commonly used for playbook recommendations and alert entity extraction.

What is the primary value of SOAR beyond AI features?

SOAR brings structure to chaotic security operations by standardizing incident handling, reducing triage fatigue, improving response speed, and ensuring consistent outcomes across the team.


Categories:
  • » Data Protection
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  • Security Operations
  • AI & Machine Learning
  • Getting Started
  • Short Form
  • SOAR platforms
  • AI in security operations
  • Playbook automation
  • Alert triage
  • Incident response
  • Security orchestration
  • Analyst fatigue reduction
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