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 661-680 of 1475 results
78% of organizations plan to increase investment in genAI.
Only 36% of organizations say they are ready to support large-scale AI workloads.
78% of businesses are investing in GenAI.
Only 16.4% of respondents felt fully confident in their ability to defend against AI-powered identity attacks.
Just 51% of North American organisations report adopting DevSecOps
Fewer than half of the CISOs, AppSec managers and developers report deploying foundational security tools like dynamic application security testing (DAST) or infrastructure-as-code scanning.
81% of organisations knowingly ship vulnerable code.
20% of organisations still forbid the use of AI coding assistants.
Up to 60% of code is being generated by organisations using AI coding assistants.
81% of organisations knowingly ship vulnerable code.
Half of CISOs, AppSec managers and developers already use AI security code assistants.
Within the next 12 to 18 months, nearly a third (32%) of CISOs, AppSec managers and developers expect Application Programming Interface (API) breaches via shadow APIs or business logic attacks.
Only 18% of organisations have policies governing AI use.
34% of CISOs, AppSec managers and developers admit that more than 60% of their code is AI-generated.
98% of organisations experienced a breach stemming from vulnerable code in the past year.
Only half of organisations surveyed actively use core DevSecOps tools.
35% of Gen X avoid using unofficial AI tools at work.
61% of cybersecurity professionals plan AI adoption as manufacturing faces increasing cyber risks.
16% of employees who hide their AI use worry it will be seen as lazy.
15% of employees deliberately avoid telling their manager about their AI use.