Organizations are building AI systems that combine models, agents and external tools instead of relying on standalone AI, according to Snyk’s latest State of Agentic AI Adoption report. The study analyzed 3,044 enterprise environments and 1.39 million code repositories to examine how enterprises are deploying AI. Adopting agentic architectures Of organizations using AI, 46.9% have adopted agentic architectures built on AI agents, model context protocol (MCP) servers, or both. More than half have deployed the … More → The post Your enterprise AI footprint is about three times bigger than your model list appeared first on Help Net Security .