Analysis
Top AI Security Vulnerabilities in 2026
First reported · Discovered cycode.com
Page published
Earliest dated coverage: 31 Mar 2026 · First observed: 7 Nov 2026 · Latest dated coverage: 31 Mar 2026
Coverage timeline
Single-source analysis — one report is available.
Why it matters
Cycode’s risk overview gives defenders a checklist for reviewing AI applications and agents, particularly their access permissions, data flows, model pipelines, and integrations.
Cycode’s overview catalogs 11 enterprise AI security risks, including prompt injection, model and data poisoning, excessive agency, supply-chain compromise, and vector-store weaknesses. The article synthesizes existing risk categories and recommends access controls, monitoring, pipeline protection, secure integrations, and incident-response governance rather than disclosing a new exploit.