agentic AI.
We've curated 9942 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.
Showing 661-680 of 9942 results
51% of U.S.-based cybersecurity decision-makers reported that their boards are asking for foundational security metrics.
23% of UK consumers cite fraud detection and prevention as the most positive impact of AI in banking in 2025.
26% of organizations worldwide plan to increase their cybersecurity budgets by 25% or more in 2026.
33% of UK consumers have no trust at all in generative AI, while 50% report that it makes them anxious in 2025.
76% of leaders rated compliance pressures around data sovereignty as extremely or moderately important.
29% of global respondents ranked ransomware attacks and privacy breaches as their leading cyber concerns.
36% of U.S.-based cybersecurity decision-makers identified threat detection and response as one of their top cybersecurity priorities for 2026.
75% of organizations globally express high confidence in their overall cyber risk management strategies.
64% of organizations prioritize Managed Detection and Response (MDR) as a top area of time and financial investment.
70% of organizations experienced at least one material third-party cyber incident in the past year.
88% of IT leaders believe it will be extremely (50%) or moderately important (38%) in 2026 to ensure partners and suppliers meet their cybersecurity and data protection standards.
74% of UK organizations intend to increase their cybersecurity spending over the next 12 months.
97% of CISOs agree that hybrid infrastructure provides greater resilience and risk management capabilities than relying solely on cloud or on-premises environments.
53% of U.S.-based cybersecurity decision-makers manage and monitor cybersecurity infrastructure using a combination of managed and in-house services.
38.6% of enterprises have already deployed AI agents at department or enterprise scale.
65% of enterprises consider action-level guardrails and runtime controls to be a critical priority for AI agents.
38% of all accounts in global enterprises are dormant.
Inactive users hold 16.5% of total permissions in global enterprises.
Machine identities outnumber human users by a ratio of 17:1 in global enterprises.
Just 0.01% of non-human identities control 80% of all cloud permissions in global enterprises.