Rising Shadow AI Usage Highlights Growing Demand for Enterprise Security Controls

According to a recent LinkedIn post from LayerX Security, the company participated as a data contributor to the newly released 2026 Verizon Business Data Breach Investigations Report (DBIR). The post highlights findings on employee AI usage, shadow AI, and browser extension risk in corporate environments.

The post points to a sharp rise in AI usage, indicating that 45% of employees now regularly use AI on corporate devices, compared with 15% a year earlier. It also notes that an estimated 67% of this AI access occurs through non‑corporate accounts, which the post suggests may evade traditional data loss prevention, audit logging, and offboarding controls.

According to the post, shadow AI was ranked as the third most common non‑malicious insider threat in DLP data, representing a fourfold increase from 2024. The commentary further implies that when a large share of AI usage bypasses corporate identity systems, written security policies may have limited practical enforcement power.

For investors, the emphasis on shadow AI and unmanaged AI usage may signal expanding demand for security tools that address browser-level and identity-independent risks. LayerX’s role as a data contributor to a high‑profile industry report could enhance its visibility with enterprise security buyers, potentially supporting long‑term sales pipelines in the secure browsing and insider‑risk segments.

More broadly, the trends described in the post reinforce a narrative that AI adoption is outpacing traditional security controls, creating new attack surfaces and compliance challenges. If enterprises increasingly prioritize solutions that can monitor and govern AI usage across both corporate and personal accounts, vendors positioned in this niche may benefit from elevated security budgets and strategic projects over the next planning cycles.