AI Security & Exposure Survey 2026: What CISOs Say They’re Missing - LinkedIn
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AI Security & Exposure Survey 2026: What CISOs Say They’re Missing LinkedIn
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✦ AI Summary· Claude Sonnet
AI adoption is widespread. AI security governance isn’t.
AI is now in use across 100% of enterprises - but security governance hasn’t kept pace.
Pentera’s AI Security & Exposure Survey 2026 shows that AI adoption has outpaced security teams’ ability to maintain visibility, establish ownership, or test systems under real-world adversarial conditions.
Where AI Security Falls Short
The Report highlights several consistent challenges across organizations:
Skills and expertise gaps: 50% cite a lack of internal expertise as a top barrier to securing AI systems.
Reliance on legacy controls: 75% of CISOs report extending security controls originally designed for other attack surfaces to cover AI-driven workflows and infrastructure.
Limited AI visibility: Nearly 70% of CISOs report limited insight into how AI is being used across their environments, making it difficult to understand exposure and risk.
AI tooling and testing limitations: 90% of CISOs report not having security tools designed specifically to protect AI systems, while a ⅓ say their AI testing approaches remain unclear.
NEW: Download The AI Security Report 2026
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Why This Matters
The message is clear: AI adoption is moving faster than organizations’ ability to secure it.
When AI environments lack visibility, purpose-built controls, and adversarial testing, they become exposed attack surfaces with limited validation. Security teams know AI is present - but without adversarial testing, they can’t see how attackers might exploit AI-based connections across data, identity, and infrastructure.
Join The Live Session: Closing The AI Security Gap
Deep dive into what 300 CISOs reveal about AI security & Exposure - and benchmark your organization against peer enterprises.
Join us for a live session on March 11, 11:00 am ET, where Ryan Dorey, Director of Technical Advisors at Pentera, and Chris Cochran, Field CISO & VP of AI Security at SANS, will:
📌 Break down key benchmark insights
📌 Share examples of exploitable risk caused by limited AI visibility and reliance on legacy controls
📌 Show how adversarial testing helps security teams validate AI risk
Register for the webinar HERE