AI Security Statistics 2026: The Data You Need to Know

of enterprise employees now use AI tools regularly, making AI the fastest-adopted enterprise technology category in history.

of organisations in IBM’s 2025 breach study reported a breach of AI models or applications. This is a study-specific result, not a prevalence estimate for all organisations.

employees per team use shadow AI tools without IT approval on average, creating invisible data flows across every department.

projected size of the global AI security market by 2028, driven by enterprise demand for AI governance and threat detection.

of the study organisations reporting an AI-model or application breach lacked proper AI access controls. The denominator is that subset, not every respondent.

Prompt injection is the top LLM security risk per OWASP's 2025 edition, an attack class with no equivalent in traditional software security.

of LLM applications tested in 2025 were vulnerable to some form of prompt injection, meaning most AI deployments are exploitable today.

increase in AI agent hijacking attacks year-over-year in 2025, as autonomous AI agents create new attack surfaces without traditional defences.

customer-facing AI chatbots leaked sensitive information when tested adversarially, a critical risk for enterprises deploying public-facing AI.

of employees admit to pasting work documents into public AI tools, exposing confidential data to third-party AI providers with no enterprise data controls.

unsanctioned AI tools are in use at the average enterprise, the vast majority invisible to IT, security, and compliance teams.

of incidents involve source code shared with external AI tools, making it the #1 category of data exposed via shadow AI.

of employees can have their data exposed simultaneously in a single shadow AI incident, the blast radius is far larger than traditional data leaks.

of organisations will face AI-specific regulatory requirements by end of 2026, covering data handling, transparency, and AI system accountability.

EU AI Act enforcement begins for high-risk AI systems, carrying fines of up to 7% of global annual revenue for non-compliance.

global average cost of a data breach in IBM’s 2025 study. This covers the study’s breach population and is not an AI-specific or shadow-AI-specific average.

of organisations have a formal AI governance policy in place, leaving 69% exposed to regulatory action as AI-specific laws take effect.

of CISOs rank AI security as a top-3 priority for 2026, reflecting the rapid shift of AI threats from theoretical to operational.

average time to detect an AI security incident, nearly twice the detection window for traditional cyberattacks, due to lack of AI-native monitoring.

reduction in AI security incidents for organisations with Workforce AI Security platforms, compared to those relying on policy alone.

CAGR for AI security budget through 2028, as enterprises respond to growing AI threat volumes and incoming regulatory mandates.