AI Security
We've curated 42 cybersecurity statistics about AI security to help you understand how AI is being used to detect threats, enhance defenses, and even automate responses in the ever-evolving landscape of cybersecurity in 2025.
Showing 1-20 of 42 results
MCP vulnerabilities grew 270% from Q2 to Q3 in 2025.
48% of security teams report blind spots around prompt injection chains or tool-chaining abuse in AI-native applications.
78% of enterprises fund AI security through existing security budgets.
85% of security leaders are concerned about AI-related infrastructure risk.
59% of security leaders report having experienced or strongly suspect an AI-related security incident.
70% of security leaders say AI systems have more access than a human in the same role.
Enterprises deploying AI systems with excessive permissions experience 4.5x more security incidents than enterprises that enforce least-privilege controls.
Organizations with over-privileged AI systems have a 76% incident rate, compared to a 17% incident rate for organizations that limit AI to only the privileges needed for the task.
43% of organizations say AI makes infrastructure changes without human oversight at least monthly.
67% of organizations rely on static credentials for AI systems.
Only 3% of organizations have automated, machine-speed controls governing AI behavior.
69% of security leaders agree identity management must fundamentally change to support AI safely.
Organizations most confident in their AI deployments experience more than twice the incident rate of less confident peers.
7% of organizations don't know how often AI is making autonomous infrastructure changes at all.
Relying on static credentials for AI systems correlates with a 20-percentage-point increase in incident rates.
11% of enterprise CISOs have security tools specifically designed to protect AI systems.
75% of CISOs report their enterprises rely on extending controls originally designed for other attack surfaces to cover AI-driven workflows and infrastructure.
93% of CISOs and AppSec executives are ready to replace or purchase new AI-native application protection.
21% of enterprises plan to introduce a dedicated AI security budget.
Use of risk-ranking methods to determine where LLM-generated code is safe to deploy increased by 12%.