implementation

Build LangGraph Workflow for Risk Analysis

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Linked challenge: Graph-Based Identity Security Agent

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Linked challenge

Graph-Based Identity Security Agent

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Design a LangGraph workflow that takes a security query (e.g., 'Find all dormant admin accounts') as input. The workflow should use LlamaIndex for RAG against the knowledge graph, feed retrieved context to Gemini 2.5 Pro for analysis, and then iteratively refine the query or explore related graph nodes until a definitive answer or risk assessment is formed. Implement an adaptive thinking budget.

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This prompt is mostly narrative and instruction-driven, so adapt examples and output constraints before you rewrite the structure.

Linked challenge

Graph-Based Identity Security Agent

This challenge focuses on building an intelligent agent system capable of analyzing complex user, system, and access relationships to identify security risks. You will construct a knowledge graph representing an enterprise's identity landscape, then leverage Gemini 3 for advanced reasoning over this graph. Your primary task is to develop a graph-based agent workflow using LangGraph to traverse and query this knowledge graph. The agent will integrate with LlamaIndex for Retrieval-Augmented Generation (RAG) to fetch relevant context from the graph, and utilize MCP-enabled tools to interact with simulated enterprise identity systems (e.g., Active Directory, HR databases). The agent should be able to perform extended thinking with adaptive reasoning budgets to detect anomalous access patterns, privilege escalations, and provide risk assessments.

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