You’re Securing Your Code. But Are You Securing the AI Inside It?

Modern applications don’t just run on code anymore. They run on models, agents, embeddings, datasets, and autonomous tools like MCP servers. Developers are pulling pre-trained LLMs from Hugging Face, integrating open-source agent frameworks, and wiring up AI pipelines faster than security teams can track them. Unlike rogue npm packages, these components don’t show up cleanly in your existing dependency graph.

For AppSec teams, this creates two core problems: volume and visibility.

• Volume . AI is speeding up development output, but AI-generated code produces  1.7x more vulnerabilities  than human-written code . More code means more findings per scan, growing backlogs, and a security team forced to choose between rigor and velocity.
• Visibility .