US
We've curated 458 cybersecurity statistics about the US to help you understand how emerging threats, like state-sponsored attacks and ransomware, are reshaping our defenses and practices in 2025.
Showing 1-20 of 458 results
63% of U.S. knowledge workers report having a clear AI policy that they understand.
63% of workers rate AI as either absolutely essential or very necessary to their jobs.
Nearly 50% of workers who understand their organization's AI policy knowingly violate that policy by using unapproved AI tools.
42% of U.S. mid-market enterprise IT leaders reported a confirmed AI-related security incident or exposure in the past 12 months.
49% of U.S. mid-market enterprise IT leaders say internal efficiency and cost or time savings are the primary reason their organization is investing in AI.
42% of U.S. mid-market enterprise IT leaders report their organization has launched proactive reskilling and upskilling programs as part of AI investment.
16% of U.S. mid-market enterprise IT leaders cite integration complexity as the top barrier to scaling AI.
71% of U.S. mid-market enterprise IT leaders expect AI to have the most positive impact in IT operations and service desk.
42% of U.S. mid-market enterprise IT leaders report having a formal AI policy with actively enforced controls.
17% of U.S. mid-market enterprise IT leaders cite data readiness as the top barrier to scaling AI.
82% of U.S. mid-market enterprise IT leaders say AI is already in production somewhere in their organization or in widespread use.
19% of U.S. mid-market enterprise IT leaders cite security, privacy and compliance as the top barrier to scaling AI.
50% of U.S. mid-market enterprise IT leaders expect AI to have a positive impact on software development and engineering productivity.
96% of U.S. mid-market enterprise IT leaders are confident their organization will realize measurable ROI from AI within the next 24 months.
63% of U.S. mid-market enterprise IT leaders report having formally assessed whether sensitive company or customer data is being entered into AI tools and implemented controls.
10% of U.S. mid-market enterprise IT leaders cite lack of internal expertise as the top barrier to scaling AI.
56% of U.S. mid-market enterprise IT leaders expect their organization to invest at least $250,000 in AI over the next 12 to 24 months.
53% of U.S. mid-market enterprise IT leaders report having full visibility into AI tool usage.
Roughly 73% of U.S. mid-market enterprise IT leaders have either confirmed an AI-related security incident or experienced a near-miss in the past 12 months.
88% of U.S. mid-market enterprise IT leaders expect their organization to invest at least $100,000 in AI over the next 12 to 24 months.