The 2026 Enterprise File Security Report: AI Is Exposing the File Security Gap

85.8% of organizations evidence no more than a "somewhat mature" file security posture.

94.5% of security leaders over-assess their organization's file security maturity compared to evidence.

56.6% is the average confidence security leaders report in detecting and preventing long-running threats like malware.

Extreme confidence against polymorphic threats that actively evade signature-based defenses is just 12.2%.

59% of organizations expect AI to make file security more time consuming for their IT and security teams.

68.1% of security leaders say cybercriminals are more focused on circumventing their file security protections than 12 months ago.

16.9% of organizations claim complete visibility into files entering, moving within, and leaving their networks.

27.2% of organizations express strong agreement that a paradigm shift away from a detection-first posture is urgently required.

Concern about AI-driven threats against files increased by an average of 78.9% from 12 months ago to the level anticipated 12 months from now.

Fears about generative AI and large language model (LLM) threats increased by 105% from 12 months ago to the level anticipated 12 months from now.

51.6% of organizations use content disarm and reconstruction (CDR), and an additional 8.3% plan to deploy CDR within 12 months.

73.6% of security leaders self-assess their organization's file security posture as "very" or "extremely" mature.

0% of organizations provide evidence of being in either of the top two ("very" or "extremely" mature) maturity levels for file security.

60.6% is the average confidence security leaders report in detecting and preventing new and emerging threats.

In the past two years, 41.7% of organizations suffered file-related breaches or security incidents, costing an average of $2.2 million.

83% of organizations that report no incidents admit they lack full visibility into their file lifecycles.