AttackRuleMap is a free threat modeling tool by ATT&CK Rule Map. Repello AI Agent Wiz is a free threat modeling tool by Repello AI. Compare features, ratings, integrations, and community reviews side by side to find the best threat modeling fit for your security stack.
Based on our analysis of NIST CSF 2.0 coverage, core features, integrations, company size fit, here is our conclusion:
Startup security teams building threat models from scratch should use AttackRuleMap to connect MITRE ATT&CK techniques directly to testable atomic actions, compressing what usually takes weeks of manual mapping into hours. The tool is free and cloud-deployed, removing budget and infrastructure friction at the stage where most startups can't afford a dedicated threat modeling platform. Skip this if your team needs automated detection rules or response playbooks; AttackRuleMap is a planning and validation tool, not an operational security control.
Security teams building AI agent systems in Python will find immediate value in Repello AI Agent Wiz because it's the only free tool that maps threat paths across the entire agent-to-tool-to-LLM chain without requiring configuration. The MAESTRO framework covers 12 documented agentic failure modes,privilege escalation, prompt confusion, ghost agents, infinite recursion,that traditional threat modeling misses entirely. Not suited for organizations running agents across multiple languages or those needing runtime enforcement rather than design-phase analysis; Repello is a pre-deployment mapping tool, not a monitoring system.
A mapping tool that correlates MITRE ATT&CK techniques with atomic tests
Open-source CLI tool to map, threat-model, and secure AI agent workflows.
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Common questions about comparing AttackRuleMap vs Repello AI Agent Wiz for your threat modeling needs.
AttackRuleMap: A mapping tool that correlates MITRE ATT&CK techniques with atomic tests. built by ATT&CK Rule Map..
Repello AI Agent Wiz: Open-source CLI tool to map, threat-model, and secure AI agent workflows. built by Repello AI. headquartered in United States. Core capabilities include AST-based flow extraction from Python orchestrator files to generate agent-to-tool-to-LLM graphs, MAESTRO threat modeling across 12 known agentic failure modes, Real-time graph visualization with export to .png, .dot, or interactive formats..
Both serve the Threat Modeling market but differ in approach, feature depth, and target audience.
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