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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85% of developers and technology buyers agree AI has shifted the bottleneck from writing code to reviewing and validating it.
84% of developers and technology buyers agree the biggest challenge with AI-generated code is governing what happens to it after it's created.
87% of developers and technology buyers are confident their team could determine within 24 hours whether AI-generated code contributed to a production incident.
34% of organizations that experienced a production incident in the past year cannot determine whether AI-generated code contributed to it.
80% of developers and technology buyers say their organization adopted AI tools faster than it developed policies to govern them.
92% of developers and technology buyers report some form of governance challenge with AI-generated code.
91% of organizations have two or more AI coding tools in active use.
54% of organizations have three or more AI coding tools in active use.
83% of organizations identify AI-generated code accumulation as a risk to manage now.
91% of organizations are likely to invest in AI code governance tools in the next 12 months.
98% of organizations have already allocated or expect to allocate budget for AI code governance.
Only 20% of organizations track error rates of AI-generated changes.
86% of IT decision-makers and platform engineering leaders say AI has increased demands on infrastructure teams.
86% of infrastructure leaders say they are confident in their organization's ability to govern AI, but only 30% have a formal AI governance policy in place.
70% of Exposed organizations express confidence in their AI governance capabilities, yet only 4% of Exposed organizations have a formal AI governance policy.
The use of AI to generate code without thorough review occurs in developer code (79%), infrastructure-as-code/HCL (78%), and policy-as-code (78%).
33% of infrastructure teams would apply AI-generated HCL directly to production without any review, and an additional 43% would apply it with only minimal review.
Pioneer organizations apply AI-generated IaC at 86%, compared with 69% for Exposed organizations.
19% of organizations are Pioneer, 25% are Outpacing, 32% are Fragmented, and 24% are Exposed in the AI Maturity Index.
Only 15% of organizations track the volume of AI-generated infrastructure-as-code moving through their pipelines.