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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47% of organizations favor automation for low-risk environments, up 22 percentage points.
60% of security professionals state they require stronger LLM testing capabilities.
42% of security professionals plan to increase human-led red team operations.
The meantime to resolve (MTTR) for AI/LLM security issues is 36 days, up from 19 days in 2025.
27% of security and IT leaders report undetermined baseline behavior enables anomalous actions to go undetected, delaying critical alerts.
Average ransom payment dropped to $2.8 million, down from $3.6 million in 2025.
83% of ransomware victims paid a ransom, up from 70% previously.
Downtime per incident averaged almost 30 hours.
85% of security and IT leaders identify security incidents, data exposures, or near misses where the root cause is an AI system.
35% of security and IT leaders identify shadow AI exposure as security incidents tied to AI systems.
31% of security and IT leaders identify agentic/API logic failures as security incidents tied to AI systems.
38% of security and IT leaders report attacker activity mirrors legitimate, authorized workflows and processes, delaying critical alerts.
The end-to-end window from private disclosure to enterprise patch-in-production can stretch 90 to 150 days.
A single ImageMagick CVE can propagate to 18+ NuGet variants via Magick.NET.
85% of developers and technology buyers agree the next phase of AI in software will focus less on generating code and more on governing it.
60% of organizations say AI coding ROI has exceeded expectations.
73% of developers and technology buyers are concerned about the maintainability of AI-generated code in their organization's codebase.
40% of IT decision-makers report security vulnerabilities appearing faster, 40% report governance getting harder, 37% report higher change volume, 35% report increased pipeline strain, and 35% report growing infrastructure drift.
Only 3% of identified servers running Dropbear – common in embedded devices – support PQC
50% of IT devices in enterprise networks use OpenSSH versions that support PQC