The LiteLLM compromise showed AI risk extends beyond dependencies. Use Evo AI-SPM to map your full AI blast radius, securing connected models, tools, and agent workflows.

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The LiteLLM supply chain compromise revealed a critical blind spot in AI security: patching a vulnerable dependency doesn't address the full risk of what that dependency was connected to at runtime. LiteLLM, as a model gateway routing requests to 100+ LLM providers, sits in the execution path between applications and models, tools, APIs, and agent workflows. When compromised, the blast radius extends far beyond the package itself — as confirmed by AI recruiting startup Mercor, which suffered large-scale data exfiltration after stolen credentials were used to access internal systems. Traditional SCA tools catch the vulnerable dependency but can't map the AI system's full topology. Snyk's Evo AI-SPM is positioned as a solution that builds an AI Bill of Materials (AI-BOM), mapping model providers, connected tools, agent workflows, and 'shadow AI' usage across codebases to give teams true visibility into their AI attack surface.

You Patched LiteLLM, But Do You Know Your AI Blast Radius?

Start with Discovery. Start with Evo AI-SPM.