Does AI already replace the L1 analyst?

Not yet, per the 2026 reports. Only 42% would trust AI to run core security functions independently today. The consensus is supporting role and assisted automation, not full replacement in the short term.

What should a SOC-CMM assessment measure about AI?

Formal strategy, real use cases, sensitive-data governance, guardrails, value metrics and traceability of automated decisions. SOC-CMM does not reward blind adoption: it rewards AI being governed like any other critical control.

Is it safe to use public LLMs in SOC operations?

It depends on data and decision chain. WEF lists generative-AI leaks as the top concern for 34% of respondents. A clear policy on data, redaction and retention reduces risk without blocking adoption.

AI in cybersecurity 2026: statistics for CISOs and SOC teams

2026 figures on AI adoption, risk and governance in cybersecurity, cross-read with SOC-CMM 2026 for CISOs setting strategy and SOC managers prioritizing controls.

Headline figure

91%

of organizations already use or experiment with AI-powered cybersecurity solutions

Source: Fortinet 2026 Cybersecurity Skills Gap (n=2,750 IT/cyber decision-makers, 32 countries, Dec 2025) and WEF Global Cybersecurity Outlook 2026 (n=804 leaders, 92 countries).

Executive reading

AI is part of the defensive stack in almost every mid-to-large organization, but only a minority has a formal adoption strategy. WEF reports that 87% of respondents experienced increased AI-related vulnerabilities in 2025 and 94% expect AI to be the leading force shaping cybersecurity in 2026. The 2026 SOC-CMM report confirms the pattern inside the SOC: 57% lack a formal AI strategy despite broad use of LLMs, generative AI and, to a lesser extent, agents.

The sober reading separates exposure from capability: how many real use cases AI supports today, how many require human oversight, which sensitive data they touch, and how to measure real value against noise. SOC-CMM helps frame the question inside the Process, Technology and Services domains rather than treating it as an isolated initiative.

Report data

Metric	Value	Reading
Using or experimenting with defensive AI	91%	Fortinet 2026.
Increased AI-related vulnerabilities in 2025	87%	WEF 2026, n=804.
Expect AI to be the leading cyber force in 2026	94%	WEF 2026.
Concern over generative-AI data leaks	34%	WEF 2026.
Concern over adversarial AI capabilities	29%	WEF 2026.
SOCs without a formal AI strategy	57%	SOC-CMM 2026.
Willing to trust AI for core security functions	42%	Fortinet 2026.
Organizations formally assessing AI security	64%	WEF 2026, nearly double vs. 37% in 2025.

What to do with this data

Inventory SOC AI use cases: enrichment, triage, drafting, hunting, response.
Define guardrails, sensitive data and human approval thresholds by risk.
Map use cases to the SOC-CMM Process, Technology and Services domains.
Measure real value (workload reduction, MTTD/MTTR, quality) instead of coverage only.
Document the AI footprint used by the SOC for audit and board review.

FAQ

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