The average employee enters sensitive data into AI tools once every three days.

In companies leading in AI adoption, nearly 90% of developers use AI coding assistants.

39.7% of all data movements into AI tools involve sensitive data, including prompts or copy-paste actions.

The top 1% of early adopter organizations use more than 300 GenAI tools.

Cautious enterprises typically employ fewer than 15 GenAI tools.

Across the top 100 most-used GenAI SaaS applications, 82% are classified as medium, high, or critical risk.

32.3% of ChatGPT usage occurs through personal accounts.

24.9% of Gemini usage occurs through personal accounts.

In a typical organization, about 50% of developers use AI coding assistants.

Only 6% of developers use AI coding assistants in the lowest-adoption environments.

In the later months of 2025, 30% of developers using AI coding assistants reported using at least two assistants.

Developers at frontier companies are 11.5× more likely to use AI coding assistants than developers in low-adoption environments.

71% of exploited vulnerabilities are not in the CISA KEV catalog.

99% of organizations report using AI in business.

97% of organizations say AI brings real value.

32% of cybersecurity leaders report AI-related attacks.

Global AI spending is projected to reach $1.5 trillion, with hardware and infrastructure accounting for 59% of total investment.

62% of organizations experience deepfake incidents.

Confidence in data security falls to 40% when data passes through third-party provider networks.

Nearly a third of senior leaders admit "we know we should do more than we do" when it comes to critical data security.