S&P 500
Cybersecurity statistics about s&p 500
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AI applications experienced a 43% increase in security incidents over the past 12 months, marking the second-largest increase across all channels.
38.3% of small business leaders reported raising prices to address the financial impacts of a cyber incident.
The implementation of AI-based tools as a top-five IT priority surged by 189% from 9% in 2023 to 26% in 2025.
45% of cybersecurity leaders cited constantly evolving AI threats as their greatest challenge when tackling behavioral risk.
64% of organizations fell victim to external attacks that exploited employees through email.
Malicious insiders accounted for incidents at 36% of organizations.
44% of organizations in the financial services industry ranked synthetic identity fraud as the top fraud type tracked.
56% of employees are unhappy with their company's approach to AI tools, which can drive them toward unsanctioned platforms and creating 'shadow AI' risks.
The implementation of critical security measures among small businesses declined from 33.6% in 2024 to 27.2% in 2025.
45% of IT, cybersecurity, risk, and fraud leaders reported that deepfake or impersonation attacks are frequent occurrences in their organizations.
29% of IT and security professionals identified adopting AI-based solutions as one of their top three actions to strengthen cybersecurity.
32% of organizations reported increased incidents related to deepfakes.
68% of all phishing infrastructure tracked operates on Cloudflare as of the current year.
83% of organizations reported using AI in daily operations.
23% of organizations admitted to having no controls for AI prompts or outputs.
In 2025, 28% of cybersecurity professionals reported having already integrated AI tools into their operations.
Almost 60% of the observed indicators of compromise (IOCs) are linked with Phishing-as-a-Service (PhaaS).
In 2025, 33% of cybersecurity professionals stated their organizations do not have the resources to adequately staff their teams.
7% of organizations reported having a dedicated AI governance team.
69% of IT leaders globally reported lacking a formal tracking system to monitor AI adoption.