agentic AI.
We've curated 10000 cybersecurity statistics about Agentic AI to help you understand how autonomous AI systems are revolutionizing threat detection and response in 2025, enhancing security practices while also introducing new risks to navigate.
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19% of security professionals say regulatory compliance (including NIS2 and DORA) is the boardroom cyber priority boards ask about most.
54% of UK cybersecurity professionals consider traditional phishing emails the biggest threat to their organization
Cybersecurity professionals report 83% confidence in their organization's ability to stop email-based attacks, compared with 61% for Teams, 51% for social media, 50% for SMS/WhatsApp and 40% for Slack
13% of cybersecurity professionals report their organization never trains users on Teams, Slack, or SMS threats
8% of security professionals would trust AI to make security decisions without human approval.
The 2026 projected total of CVE disclosures is approximately 66,000, up from a February median projection of 59,427.
82% of U.S. mid-market enterprise IT leaders say AI is already in production somewhere in their organization or in widespread use.
26% of U.S. mid-market enterprise IT leaders say AI is scaled and governed enterprise-wide.
19% of U.S. mid-market enterprise IT leaders cite security, privacy and compliance 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.
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.
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.
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.
40% of EMEA leaders name data used for AI or analytics as their top operational blind spot.
99% of enterprise decision-makers agree that data sovereignty is critical.
45% of UK organizations identify data used for AI and analytics as their biggest blind spot, the highest rate in Europe.
38% of organizations in MEA report reliance on third-party ecosystems and vendors, increasing supply-chain blind spots.