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 1301-1320 of 1475 results
81% of security leaders state that AI-driven automation is a top priority for their strategy over the next 3 to 5 years.
AI usage at work has increased 4.6x in the past 12 months.
60% of organizations are already using artificial intelligence (AI) in their IT infrastructure.
Source code is the most common type of sensitive data employees put into AI, accounting for 18.7% of sensitive data.
AI usage at work has grown an astounding 61x over the past 24 months.
34.4% of AI tools have user data accessible to third parties without adequate controls.
37% of respondents say that new AI-driven threats forced them to adjust their security approach.
30% of respondents report the emergence of a new attack surface due to the use of AI by their business users.
68% say their organizations lack identity security controls for AI.
The United Kingdom, Ireland and Europe (UKIE) reported 60% productivity gains after adopting AI.
Among analysts, only 10% trust in AI autonomy.
56% of security teams report that AI has improved productivity in threat detection, investigation, and response (TDIR).
Only 29% of teams trust AI to act on its own.
37% of organizations report workforce reductions tied to automation.
Organizations in India, Middle East, Turkey, and Africa (IMETA) report the highest productivity gains (81%) after adopting AI.
71% of executives report AI-driven productivity gains.
Asia Pacific and Japan (APJ) reported 46% productivity gains after adopting AI.
44% of North American organizations report improvements in productivity due to AI.
18% of organizations are expanding hiring for roles focused on AI governance, automation oversight, and data protection.
Only 22% of analysts agree that AI has significantly improved productivity across their security teams.