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The OWASP Agentic Security Initiative Top: A Practical Developer Guide

The article explains the OWASP Top 10 security risks for AI agent systems and provides practical guidance for developers using LangChain and CrewAI to mitigate vulnerabilities such as prompt injection, insecure agent communication, and data leakage in agentic workflows.

Background

OWASP (Open Web Application Security Project) publishes the famous "Top 10" web security risks. Their new **Agentic Security Initiative** adapts this framework to AI agents. LangChain and CrewAI are popular open-source frameworks for building LLM-powered agents — AI programs that can reason, use tools, and act autonomously (browse the web, call APIs, run code). The core problem: giving an LLM agency introduces risks like prompt injection, tool misuse, and data leaks. The article maps OWASP's new agent-specific risks to concrete code-level mitigations for LangChain and CrewAI developers — scoping tool permissions, validating outputs, sandboxing execution. As companies deploy agents for customer support, coding, or payments, security shifts from "the API is the boundary" to "the agent's judgment is the boundary."

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