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ai security
AI is Working in the SOC. So Why are Security Executives More Worried Than Ever?
A survey of 500 security professionals by Omdia shows 97% report positive outcomes from AI in security operations, with strong confidence among frontline SOC teams. However, executive leaders including CISOs and CSOs express substantially greater concern about data governance, accountability, and vendor practices around AI, signaling a maturity shift from pilot evaluation to production governance. Security organizations are focusing on hybrid models where AI handles volume triage while analysts retain decision authority, and MDR providers are being evaluated primarily on transparency into AI decision-making rather than automation speed.
Why it matters: SOC leaders and security executives need to assess their AI governance frameworks and accountability models now, as boards will increasingly scrutinize how AI decisions are managed and what happens when models fail; MDR vendors must demonstrate transparency into AI decision logic to remain competitive with the 55% of buyers now demanding visibility into model operations.
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ai security
AI is Working in the SOC. So Why are Security Executives More Worried Than Ever?
No summary had been written when this copy was frozen.
- First seen by Cybersecurity Tracker
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Correction
Correction recorded as of .
ai security
AI is Working in the SOC. So Why are Security Executives More Worried Than Ever?
An Omdia survey of 500 security professionals found that 97% report positive outcomes from artificial intelligence (AI) in security operations centers, with 98% saying AI reduces alert fatigue and 95% citing staffing relief. However, executive security leaders express 1.6 times more concern than operational managers about AI vendor data handling and governance, raising questions about accountability and risk when AI models miss threats. The research shows 92% of respondents believe AI enhances rather than replaces analysts, while 86% view AI-enabled managed detection and response as superior to traditional approaches, with transparency into AI decision-making emerging as the top buyer expectation.
Why it matters: Security executives and CISOs must establish AI governance frameworks and vendor transparency standards now, as the gap between operational confidence and executive oversight grows and boards increasingly demand accountability for AI-driven security decisions.
- Source published
- First seen by Cybersecurity Tracker