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 1461-1475 of 1475 results
12% of enterprises are waiting for security controls to be ready before deploying AI.
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.
Wallarm tracked 439 AI-related CVEs in 2024.
90% of surveyed executives expect to scale, optimise, or innovate with AI within the next two years.
63% of enterprise leaders believe AI increases API security risk.
93% of businesses acknowledge that AI must be "fully integrated" into their processes to maximise their return on investment.
48% of enterprises report implementing specific security controls for AI deployments.
85% of businesses face challenges in scaling and operationalising AI across their businesses.
54% of enterprises report engaging in multiple AI deployments.
Only 11% of AI-powered APIs implemented robust security measures, such as bearer tokens with expiration times.
35% of enterprises are just beginning their AI journey.
79% of businesses that deploy AI lack a way to control, manage and sustain it effectively.
21.5% of AI vulnerabilities are indirectly tied to APIs, including flaws in third-party integrations.
49% perform a privacy risk assessment to monitor their privacy programs.
AI vulnerabilities increased by 1,025% from 2023 to 2024.