Data Sheet

State of AI Cybersecurity 2026: Executive Summary

We asked 1500+ cyber professionals about the shifting role of AI in cyber defense

Drawing on a survey of cybersecurity leaders and practitioners across 14 countries, this executive summary reveals how AI threats, autonomy limits, and security priorities are shifting, and where trust still lags adoption.

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Ressourcen, die diesen Monat heruntergeladen wurden

37%

have formal AI policies

46%

doubt their AI defenses

14%

allow fully autonomous AI

Was ist in dieser Ressource

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CISOs feel the impact of AI threats more acutely than SecOps teams, 78% to 68%. See what that perception gap could mean for your response.

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Why do CISOs and SecOps teams see AI threats so differently?

CISOs feel the impact of AI threats more acutely than SecOps teams, 78% to 68%. See what that perception gap could mean for your response.

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Generative AI is in 77% of security stacks, yet just 14% let it act without a human in the loop.

How much autonomy are teams really giving AI in the SOC?

Generative AI is in 77% of security stacks, yet just 14% let it act without a human in the loop.

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Formal AI policies fell from 45% to 37% in a year, just as threats and tool adoption accelerate. See what that means for your risk.

Why are AI policies shrinking as AI adoption grows?

Formal AI policies fell from 45% to 37% in a year, just as threats and tool adoption accelerate. See what that means for your risk.

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Data Sheet

State of AI Cybersecurity 2026: Executive Summary

AI is already inside the enterprise. Security is racing to catch up.

AI adoption is now widespread, and security leaders are being asked to protect a rapidly expanding attack surface while managing risks no one has faced before. Employee use of tools like Copilot and ChatGPT, new AI agents, and AI-assisted attackers are all arriving at once. This executive summary distills what over 1,500 cybersecurity professionals told us about how they are coping.

What's newly relevant in 2026

The headline findings point to a widening gap between awareness and action:

37% of organizations have a formal policy for the safe and secure use of AI, down from 45% last year
46% don't feel confident in their ability to defend against AI-powered attacks, with hyper-personalized phishing topping the list of concerns
73% say AI-powered threats are already having a significant impact on their organization, and
92% say these threats are forcing them to significantly upgrade their defenses
78% of CISOs are feeling the impact of AI threats, compared to 68% of SecOps roles, a perception gap that can shape how quickly teams respond
77% of security stacks now include generative AI, yet 74% of respondents limit the autonomy of AI taking action in the SOC, and only 14% allow it to act without a human in the loop

At the same time, there is a clear consensus that defensive AI is necessary: 96% agree AI can significantly improve the speed and efficiency of their work, and 93% prefer solutions that are part of a platform over individual point products.

What you'll learn

Which AI-powered techniques security professionals rank as the greatest threat, from hyper-personalized phishing to automated vulnerability scanning and exploit chaining
Where respondents expect defensive AI to have the greatest impact, led by threat detection and anomaly spotting
How teams are balancing AI autonomy with human oversight in the SOC
Why 85% prefer to obtain new SOC capabilities as a managed service rather than a product managed in-house
The top three security priorities for the next 12 months: adding AI-powered tools, improving integration among current solutions, and improving cyber readiness for potential incidents

Get the headlines in minutes, then dive into the full report to see results by org size, job title, industry, and country.