docs: enhance security guidance for LangChain application developers #34081
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**Changes Made:** - Added 4 new security best practices: Input Validation, Auditing & Logging, Rate Limiting, Secure Dependency Management - Expanded risks section with 5 additional risk scenarios - Added 4 new example scenarios with mitigation strategies covering prompt injection, data leakage, tool misuse, and session security - All additions maintain consistency with existing document structure and tone **Why:** - Provides more comprehensive security guidance for developers - Addresses common LLM application security concerns - Enhances the overall security posture of LangChain applications
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Hi @langchain-ai/maintainers! I've enhanced the SECURITY.md with expanded guidance based on common LLM application security patterns. This documentation update should help developers build more secure applications across the ecosystem. This includes:
Would appreciate a review! This is a docs-only change that maintains the existing structure and tone. |
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Description: Expand SECURITY.md document with additional security guidance, including new best practices, risk scenarios, and real-world examples with mitigation strategies.
Changes:
Benefit: Provides more comprehensive security guidance for developers building LangChain applications and addresses common LLM security concerns.