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
21% say they apply AI to security through a mix of vendor-led and internal AI.
Approximately 19% say they primarily apply AI to security through their own internal data science work
56% cited data protection as a security function where AI will provide the most value in the next 3 years
42% cited identity and access management as a security function where AI will provide the most value in the next 3 years
About 16% of security teams say their use of AI has been very beneficial and have made it a core part of their program
46% of Security Managers/Directors report the lowest confidence in controlling data used for AI training.
85% of organizations face challenges in scaling and operationalizing AI across their business.
84% of organizations say a lack of transparency in applying AI applications within business processes is causing regulatory compliance issues.
Only 36% of respondents said their organisation has a dedicated AI fund.
Machine learning-based discovery tools often identify 31% more API endpoints than those reported by enterprises.
66% of organisations expect AI to have the most significant impact on cybersecurity in the year to come, but only 37% report having processes in place to assess the security of AI tools before deployment.
47% of organisations cite adversarial advances powered by generative AI (GenAI) as their primary concern.
Nearly 2 in 5 organisations are counting on cost savings from AI-driven efficiencies to pay for the technology.
Only 1.1% of the vulnerabilities in AI products were entirely unrelated to APIs.
93% of oganizations believe AI must be fully integrated into orchestrated processes to maximize the return on investment and business value.
57% of AI-powered APIs were externally accessible.
Half of respondents said their organisation will divert capital allocations from other budget areas to fund AI initiatives.
98.9% of AI vulnerabilities are API related.
Gartner predicts that Spending on AI-optimised servers will double that of traditional servers in 2025, reaching $202 billion.
89% of AI-powered APIs relied on insecure authentication mechanisms, like static keys.