Research · curated 24 Aug 2026
Top 5 Enterprise AI Risks 2026 Research
First reported akamai.com
Coverage timeline
Single-source research — first reported, latest, and curated coincide.
Why it matters
Akamai's report quantifies how a small cohort of AI super-adopters concentrates enterprise risk by embedding unvetted AI agents and extensions into core workflows, giving defenders a data-backed view of where AI exposure and attacks like CometJacking and CursorJacking are emerging.
Akamai's State of the Internet: Enterprise AI Usage Risk Report 2026 (drawing on LayerX telemetry) finds that the top 5% of enterprise AI power users interact with AI models at 12 times the rate of the bottom 50%, hardcoding unvetted AI tools into critical operations. The report enumerates the top five enterprise AI risks, including shadow AI from personal accounts, data leakage, unnoticed browser/IDE extensions, and AI agents operating outside guardrails, citing named attack techniques such as CursorJacking and CometJacking.