Check Point’s 2026 Cloud Security Report finds more than half of companies already confirmed an AI-related security incident, and another quarter cannot rule one out.
Key Takeaways
- 77% of companies changed their security strategy to manage internal AI use, but only 26% say their security systems can enforce those changes without a major rebuild
- 54% confirmed at least one AI-related security incident. Another 24% suspect one but lack the monitoring to confirm it
- Only 5% of security teams have full visibility into which AI tools employees use and where their data goes
- Just 13% can block a malicious prompt before it reaches a model, and 5% can stop an AI response that leaks sensitive data or carries malicious content
- 42% of organizations say employees bypass AI security controls when those controls slow them down
Check Point Software released its 2026 Cloud Security Report: Securing the AI Transformation, a study of how enterprise security is holding up as AI moves into production. Check Point surveyed 1,042 cybersecurity and IT professionals in early 2026, asking how AI has changed their security strategy, architecture, and day-to-day operations. The answers point in one direction: strategy is moving fast, and the infrastructure underneath it is not.
A 51-point gap between strategy and enforcement
AI adoption forced 77% of organizations to change how they manage security. As employees adopted tools like ChatGPT and Copilot, companies built AI into their own applications, security teams rewrote acceptable use policies, established AI governance boards, and redirected budgets toward AI-specific controls. But only 26% say their existing security systems can enforce those changes without a major rebuild.
The gap matters because AI is already running at scale. 70% of organizations run generative AI in production, 64% have AI agents in pilot or production, and 12% have given those agents privileged access to core systems. In plain terms: most companies decided what their AI rules should be, but few can apply those rules where AI actually operates.
More than half of companies report an AI incident, almost a quarter more suspect one
54% of organizations confirmed at least one AI-related security incident. Another 24% suspect an incident but lack the monitoring to confirm it. Combined, 78% either took a hit or cannot rule one out.
The most common incidents reported were:
- Unauthorized or shadow AI use (41%)
- AI-generated content used in an attack, such as phishing or deepfakes (37%)
- Sensitive data leaked to or through AI services (32%)
Security teams see little and stop less
Only 5% of security teams have full visibility into which AI tools employees use, what data those tools touch, and where that data goes.
Enforcement is not much better. 13% can block a malicious prompt before it reaches a model. 16% can stop sensitive data from reaching AI services in real time. Just 5% can reliably stop an unsafe AI response before it reaches users or other systems. Most tools can raise an alert after the fact but cannot stop the activity in real time.
Weak enforcement gives employees a way around the rules. 42% of organizations say employees bypass AI security controls when those controls slow them down, often by pasting data into a personal AI account or using a browser-based tool the company’s security software does not cover.
Companies are shifting security budgets to close the gap
52% of organizations are increasing their AI security budgets, and 37% are replacing their collection of security tools with a single platform, nearly double the 20% still buying a separate tool for each problem. Regulation may force the pace: only 7% say they are fully prepared for AI-specific rules such as the EU AI Act and new state laws in Illinois and Colorado.
