AI
We've curated 1475 cybersecurity statistics about AI to help you understand how machine learning algorithms, automated threat detection, and AI-driven defenses are shaping the landscape of cybersecurity in 2025.
Showing 1441-1460 of 1475 results
The top three most common security use cases for AI are endpoint security (52%), basic vulnerability scanning (47%), and antivirus/anti-malware (40%)
Only 21% use AI to automate away configuration management and system hardening
57% of security teams find it difficult to enforce policies on training data usage.
100% of those who said their AI is very beneficial and a vital part of their security program have internal data science staff members
Speed of threat detection was used to evaluate AI efficacy by 57% of respondents
Among those security departments that do their own custom AI work, 66% report that they have hired their own internal data science staff within their security teams
93% of oganizations believe AI must be fully integrated into orchestrated processes to maximize the return on investment and business value.
54% of enterprises report engaging in multiple AI deployments.
93% of businesses acknowledge that AI must be "fully integrated" into their processes to maximise their return on investment.
90% of surveyed executives expect to scale, optimise, or innovate with AI within the next two years.
AI vulnerabilities increased by 1,025% from 2023 to 2024.
Half of respondents said their organisation will divert capital allocations from other budget areas to fund AI initiatives.
Only 36% of respondents said their organisation has a dedicated AI fund.
47% of organisations cite adversarial advances powered by generative AI (GenAI) as their primary concern.
77.4% of API-related vulnerabilities in AI products are directly API-related, such as weak API authentication, inadequate rate limiting, and broken access controls.
12% of enterprises are waiting for security controls to be ready before deploying AI.
85% of organizations face challenges in scaling and operationalizing AI across their business.
79% of businesses that deploy AI lack a way to control, manage and sustain it effectively.
48% of enterprises report implementing specific security controls for AI deployments.
35% of enterprises are just beginning their AI journey.