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2026 State of Agentic AI Adoption: Volume III | Snyk

Your approved model list shows what's deployed, not what each model can reach. Matching AI-BOM scans of 3,023 environments to adversarial test results, Volume III separates the exposure a model carries from the reach its agents and MCP servers give it.

You'll learn how to:

  • Triage the 74.5% of model-bearing environments that reference a high-scoring model, starting with what's active and what it can reach.

  • Know when switching models cuts risk and when only controls will, from command execution to PII leakage.

  • Review lower-capability and open-weight models on your approved list first, including their dataset lineage.

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