Your security team is blind to 67% of your AI attack surface. Snyk just proved it.

Your security team can tell you which AI models are approved.

Ask them what's invoking those models, what data they can reach, or what they're doing with that access.

They cannot answer.

Snyk just analyzed 3,000 enterprise accounts and 1.39 million code repositories. The finding: security programs are seeing roughly one-third of their organization's real AI footprint. The other two-thirds — agent frameworks, MCP servers, vector databases, retrieval systems — sit entirely outside the inventory.

This is not a knowledge gap at the edges. It is the majority of your attack surface, unmonitored.

The adoption curve is making this worse, fast. Six months ago, 28% of organizations ran agentic architecture. Now it is 33%. Among those adopters, the share running the full stack — agents plus MCP servers plus supporting infrastructure — jumped from 36% to 50%.

Half of model-deploying organizations cannot even trace which data trained their production models. No visible, code-level link between model and data. Across every region. Including markets with mature AI regulation.

Meanwhile, the model market is fragmenting. Anthropic's enterprise share rose from 4% to 11%. OpenAI's fell from 44% to 35%. HuggingFace is taking real share. Your vendor risk profile just got more complex.

Audit your AI surface this week. Not your model inventory — your full execution stack. Agent frameworks, MCP servers, data pipelines, third-party dependencies. Three-quarters of your AI supply chain comes from outside your organization. If you cannot enumerate it, you cannot secure it.

SOURCE: https://snyk.io/news/snyk-2026-state-of-agentic-ai-adoption-volume-ii
VERIFIED: Snyk press release (August 3, 2026), Snyk blog
SIGNAL: Enterprises are deploying AI agents faster than they can govern them. The visibility gap is now the primary attack surface.