LangChain AI Vendor Risk Profile
Developer framework company providing open-source tools for building LLM-powered applications. Offers LangChain framework, LangSmith observability platform, and LangGraph agent orchestration, acting as middleware between AI models and applications.
Risk overview
Risk score: 33/100
Risk tier: Moderate
Safety rating: 67/100 (higher is better)
Lower risk scores indicate lower assessed risk.
Last verified: Apr 19, 2026 Aging
Risk dimensions
| Dimension | Risk score |
|---|---|
| Data Handling | 28/100 |
| IP Exposure | 26/100 |
| Jurisdiction | 8/100 |
| Security | 32/100 |
| Regulatory Compliance | 60/100 |
| Transparency | 80/100 |
| Business Stability | 43/100 |
| Dependency Chain | 33/100 |
| Agent Governance | Not assessed |
Analyst summary
Rating: Acceptable
LangChain ships the dominant LLM-application framework and the LangSmith observability product. LangSmith Enterprise is enterprise-ready (SOC 2 Type II, HIPAA BAA), but the framework itself has a well-documented history of prompt-injection and code-execution CVEs that require defensive engineering.
Bottom line: Acceptable for most enterprises on LangSmith Enterprise; security hygiene is a must on the open-source framework side.
Strengths
- LangSmith is SOC 2 Type II attested with HIPAA BAA on Enterprise
- No training on customer data; customer-configured trace retention
- Dominant mindshare for LLM framework and observability among ML engineers
- Active open-source community and widespread integrations
Concerns
- Framework has a history of security CVEs (CVE-2023-29374 and others) requiring careful version management
- Prompt-injection risks in certain chain and tool-use patterns require guardrails
- Rapid API evolution between 0.x and 1.x created breaking-change migration pain
- LangSmith trace-retention defaults (400 days) may exceed customer DLP policy if not adjusted
Best for
- Engineering teams standardizing on LangChain or LangGraph for agent and RAG pipelines
- Teams needing LangSmith observability for LLM debugging and evaluation
- Organizations comfortable adopting framework-level security best practices
Avoid if
- Your team cannot commit to tracking CVEs and maintaining framework versions diligently
- Your compliance team cannot accept a framework with a history of code-execution vulnerabilities
- You need FedRAMP-authorized observability (LangSmith is not FedRAMP today)
Citations
- Data Handling — Data Retention Period
LangSmith traces are retained per customer-configured retention policy (default 400 days on paid plans); customers can configure custom retention and data deletion workflows.
- Data Handling — Hipaa Baa Available
HIPAA Business Associate Agreements are available for LangSmith Enterprise tier customers.
- Data Handling — Trains On User Data
LangChain does not train models on customer data in LangSmith, LangGraph Cloud, or LangChain Platform products; tracing data is used only for customer observability.
- Governance — Security Incidents
CVE-2023-29374 disclosed prompt injection vulnerabilities in early LangChain versions (LLMMathChain and related) that allowed arbitrary Python code execution through crafted inputs.
- Governance — Strategic Investors
LangChain raised $25 million in Series A funding led by Sequoia Capital at a reported $200 million valuation.
- Jurisdiction Profiles — Incorporation Country
LangChain, Inc. is a Delaware corporation headquartered in San Francisco, California.
- Security Compliance — Soc2 Type2
LangChain has achieved SOC 2 Type II attestation covering LangSmith and LangGraph Cloud services.