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02/08/2026 11:53 am
TL;DR: Legacy SOAR was built for static playbooks, custom scripting, and implementation cycles that no longer match machine-speed threats, while IDC reports 83% of SOC analysts struggle with alert volume and SANS found automation is now the top barrier to effective SOC operations. The real replacement is AI-native SOC automation that investigates every alert, adapts to novel cases, and embeds governance into the operating model.
NHIMG editorial — based on content published by torq: Legacy SOAR is Dead. What Replaces It?
By the numbers:
- IDC found that 83% of SOC analysts struggle with alert volume.
- The SANS 2024 SOC Survey found that automation had become the top barrier to effective SOC operations, ranking higher than staffing shortages.
Questions worth separating out
Q: What breaks when a SOAR platform depends on scripted playbooks?
A: The first thing that breaks is maintainability.
Q: Why do AI-native SOC platforms matter when alert volume keeps rising?
A: They matter because volume alone is not the whole problem.
Q: How do security and compliance teams know if SOC 2 automation is working?
A: SOC 2 automation is working when it keeps evidence current, control ownership visible, and audit requests organised without replacing testing.
Practitioner guidance
- Map your playbook dependency now Inventory which SOC workflows still rely on custom scripts, manual triage, and engineer-owned integrations.
- Set governance requirements before evaluating AI SOC tools Require immutable audit trails, scoped action permissions, and approval gates for containment or remediation actions.
- Measure coverage instead of automation volume Track the percentage of alerts that receive a decision path, the percentage that remain uninvestigated, and the percentage of cases resolved without analyst rework.
What's in the full article
Torq's full post covers the operational detail this post intentionally leaves for the source:
- Migration-stage guidance for moving legacy playbooks into an AI-native SOC model without rebuilding every workflow from scratch.
- Named customer examples that show how quickly specific case types can be automated once the new operating model is in place.
- Detailed capability comparisons across investigation, case management, integration depth, and response automation.
- Examples of how Torq describes governance, auditability, and agent scope in the platform architecture.
👉 Read torq's analysis of why AI-native SOC automation is replacing legacy SOAR →
Legacy SOAR is dead: what should replace it in the SOC?
Explore further
02/08/2026 1:01 pm
Static playbook SOCs are now a governance liability, not just an efficiency problem. The category failed because it assumed that security engineers could enumerate enough scenarios in advance to keep pace with modern threats. That assumption no longer holds when alert volume, integration churn, and attacker variation all rise together. For SOC leaders, the lesson is that automation architecture has become a control-plane decision, not a tooling preference.
A question worth separating out:
Q: What should teams require before giving automation high-impact response authority?
A: Teams should require scoped permissions, approval gates for sensitive actions, and immutable audit trails for every automated decision. Without those controls, automation can create unreviewable access to the same systems it is meant to protect. That turns efficiency into an accountability problem.
👉 Read our full editorial: Legacy SOAR is giving way to AI-native SOC automation
