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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68% of enterprises have zero technical visibility into autonomous AI agent workflows that inherit user identity and single sign-on tokens.
71% of organizations reported between one and nine intrusions, up from 47% the previous year.
2% of organizations reported more than 10 intrusions, unchanged from the previous year.
89% of organizations expect increased regulation within five years or less, up from 66% in 2025.
Approximately 23% of organizations have visibility into about half of their OT environment.
19% of adults aged 18+ in the United States, UK, Austria, Germany, and Switzerland have experienced AI-driven identity harm, rising to 30% among Gen Z.
72% of organizations prioritize machine identity at scale when evaluating identity infrastructure.
53% of victims with no financial loss reported a resolution.
Understaffing in European cybersecurity roles is 48%, which is 14 percentage points higher than in the rest of the world.
82% of organizations experienced at least one production failure tied to AI-generated code in the past six months.
5% of organizations restrict vibe coding to non-production environments.
61% of leaders rate AI-generated code as somewhat higher quality, 33% rate it as much higher, and 2% perceive it as lower quality.
24% of organizations reported intrusions in both IT and OT systems, down from 60% in 2025 and the lowest since 2022.
13% of adults aged 18+ in the United States, UK, Austria, Germany, and Switzerland have created a family codeword to guard against likeness theft.
52,185 threats were hosted on domains that enterprise security stacks are configured to trust, including Google Drive, Dropbox, and SharePoint.
96% of developers acknowledge having AI tooling integrated in their IDEs.
74% of organizations lack a unified view of sensitive data and the identities that can access it.
Account-problems scams are the highest-volume scam type, with 74% of victims sharing high-value personally identifiable information (PII).
78% of enterprise servers are reachable over SMB or WinRM, administrative protocols commonly exploited for ransomware spread and lateral movement.
Manus AI accounted for 15.6% of attributed AI site builders, Blackbox AI accounted for 14.3%, and Anything AI accounted for 9.8% of attributed builders.