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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70% of enterprises say training is customized by job role rather than standardized one‑size‑fits‑all programs.
AI coding assistants have 97% adoption among enterprise development teams.
48% of development teams experience bottlenecks in code rework related to AI-generated code.
97% of development teams have adopted AI coding assistants.
92% of development teams report improved productivity and release velocity when using AI coding assistants.
Developers will spend 29% more time reviewing and validating AI-generated code, 29% more time on complex architecture and system design, and 23% more time on security verification and risk management.
23% of organizations reported a near miss for AI identity-related security in the past 12 months.
12% of organizations emerged from the past year without an AI identity incident or close call.
84% of organizations that rate themselves "extremely confident" in their AI security posture have experienced a confirmed AI identity incident.
83% confirmed incident rate for organizations using multi-tenant SaaS identity platforms.
38% confirmed incident rate for organizations using self-hosted or on-premises identity platforms.
56% of organizations face customer, partner, or regulatory demands to demonstrate tenant isolation frequently.
91% of organizations expect identity investment to increase in the next 12–18 months.
90% of companies running AI in production, using AI broadly, and operating on multi-tenant SaaS identity infrastructure reported a confirmed incident.
99% of organizations where AI is the primary driver of identity reevaluation and customers frequently demand proof of isolation reported a confirmed incident.
40% of enterprises identify risk assessment and management as a top training priority.
30% of development teams have full governance in place for AI coding assistant adoption and oversight.
95% of organizations where AI is the primary driver of identity reevaluation and customers frequently demand proof of isolation are planning significant increases in investment.
66% of organizations are planning a significant increase in identity investment.
57% of organizations prioritize deployment flexibility when evaluating identity infrastructure.