# Langflow Security: RCE Risks, MCP Exposure, and How to Protect AI Workflows

AI development is getting easier. Securing the systems behind it is not

always keeping pace.

Langflow is an open-source

visual framework for building AI applications and agentic workflows.

Developers connect language models, data sources, APIs, and tools

through a visual interface instead of hand-writing every integration.

That flexibility is useful---but it also means a Langflow deployment may

sit at the intersection of application code, workflow execution,

secrets, and internal services.

If an attacker compromises an AI orchestration layer, the impact can

extend beyond the model to the credentials and tools the application is

authorized to use.

Langflow's official security

advisories

document serious issues across releases, including remote code execution

and authentication or configuration weaknesses.…