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Cover of the 2026 SANS SOC Survey Insights white paper, A Decade of Evolution in Cyber Defense, by Christopher Crowley.
Photo: SANS Institute, cover of the 2026 SANS SOC Survey Insights white paper, A Decade of Evolution in Cyber Defense (fair use).

Opinion

SOC Retention Is an Operations Design Problem, Not a Pay Problem

The 2026 SANS SOC Survey finds meaningful work is still the top retention driver, a 27-point gap between leaders and practitioners on hiring attention, and AI tools used by 79 percent of SOCs but built into defined workflows by only 36 percent.

Elena Vos, OpinionLondon4 min read

LONDON - Security operations centers are not losing people primarily because they underpay them, and they are not failing to get value from artificial intelligence primarily because they bought the wrong product. The 2026 SANS SOC Survey Insights white paper, marking a decade of SANS tracking of security operations practice, points to a harder diagnosis: retention and AI outcomes are operations-design problems.

Key Findings page from the 2026 SANS SOC Survey Insights report.
Photo: SANS Institute, Key Findings page from the 2026 SANS SOC Survey Insights report (fair use).

SANS drew on 444 qualified responses from SOC analysts, security administrators, and security managers across the United States, Europe, Asia, and Canada. Roughly 150 completed a deeper technology section. A parallel survey captured 69 CISOs and senior security executives. That dual view matters, because leaders and practitioners do not describe the same organization.

SOCtember illustration: 79 percent of SOCs use AI or ML tools, 36 percent have built them into a defined workflow.
Illustration: SOCtember, 79 percent of SOCs use AI or ML tools, but only 36 percent have integrated them into a defined SOC workflow, per SANS.

Only 32 percent of practitioners say management pays close attention to SOC hiring and retention needs. Fifty-nine percent of cyber leaders believe management is engaged. That is a 27-point perception gap. Leaders who think they are already attending to staffing cannot redesign workflows they do not see as broken. Practitioners who experience inattention will not treat another tool purchase as proof that the work has become more meaningful.

SOCtember illustration of the 27-point gap: 32 percent of practitioners versus 59 percent of cyber leaders.
Illustration: SOCtember, 27-point gap: 32 percent of practitioners versus 59 percent of cyber leaders say management pays close attention to SOC hiring and retention needs, per SANS.

What actually keeps people is not the lever many executives reach for first. Meaningful work is the top SOC retention driver for the third consecutive year. Compensation has fallen to fourth place. Career progression and training sit ahead of pay in the SANS ranking. Organizations that compete only on salary are optimizing the fourth-ranked factor while underbuilding the first. Purpose, growth, and the shape of daily work are design choices: what alerts get owned, what cases get closed, what automation removes drudgery, and what remains for skilled judgment.

SOCtember illustration of retention drivers in rank order: meaningful work, career progression, training, compensation.
Illustration: SOCtember, retention drivers: meaningful work first for the third consecutive year; compensation fourth, per SANS.

AI adoption makes the same design gap visible in another register. Seventy-nine percent of SOCs use AI or machine learning tools, but only 36 percent have integrated them into a defined SOC workflow. Widespread use without workflow integration is not a roadmap. It is individual improvisation at scale. Tools that sit outside triage, investigation, and handoff paths will not make the work more meaningful for people who say purpose is why they stay. They may even add another pane to pivot across.

Technology satisfaction tracks capability design as well. SOCs that ingest all data into the SIEM score a technology satisfaction GPA of 2.76, compared with 2.14 for low-capability peers. The SANS key findings frame that difference as intentional data strategy, not budget. That aligns with the retention story: people stay where the operating model makes skilled work possible, not where the shopping cart is fullest.

This argument is distinct from three other SOCtember Opinion lines. Alert fatigue as a detection-pipeline failure asks how noise is manufactured upstream. Detection engineering's false positive ownership gap asks why teams measure noise without prioritizing cuts. The Ponemon and Crogl investigation-coverage argument asks why most alerts never become cases even when AI promises speed. The SANS numbers sharpen a fourth claim: leaders who believe they are engaged on hiring are out of sync with practitioners, and AI that is used but not workflow-integrated will not retain people who say meaningful work matters most. Retention is an operations design problem. Pay and tooling purchases are incomplete answers.

Sources:


Elena Vos covers SOC strategy and detection operations for SOCtember from London.

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