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Three patched vulnerabilities in LangGraph, including an SQL injection, can be chained for remote code execution on self-hosted deployments using SQLite or Redis checkpointers with user-controlled filter input. The attack requires exposing the get_state_history() endpoint. LangChain's managed platform is not affected.
AT&T's finance organization built agentic AI workflows with LangGraph to automate manual journal entry preparation under SOX controls. The architecture separates repeatable preparation from human judgment through finance-owned playbooks, node-level audit evidence, and explicit approval boundaries. The system must show data used, decision logic, exceptions, and who approved.
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