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Dorothy is a free threat simulation tool. Leonidas is a free threat simulation tool. Compare features, ratings, integrations, and community reviews side by side to find the best threat simulation fit for your security stack.
Based on our analysis of available product data, here is our conclusion:
Okta security teams with detection gaps in their SIEM or XDR will find Dorothy's value in its free, attack-path testing that mirrors actual threat behavior instead of generic scanning. The MITRE ATT&CK mapping ensures your detection rules are validated against tactics adversaries actually use, not checkbox compliance. Skip Dorothy if you need continuous monitoring or remediation automation; it's a point-in-time validation tool, not a runtime detection layer.
Security teams building internal threat simulation programs on AWS or GCP will get the most from Leonidas because its YAML-based framework lets you define attacker procedures once and automatically generate executable code, detection rules, and documentation simultaneously, cutting your simulation development cycle by weeks. The 593 GitHub stars and active community contributions signal real adoption among cloud-native shops that prioritize repeatability over point-and-click simplicity. Skip this if your org needs a managed SaaS platform with guided scenarios and executive reporting; Leonidas assumes you're engineering-heavy and comfortable maintaining your own TTP library.
Dorothy is a tool to test monitoring and detection capabilities for Okta environments, with modules mapped to MITRE ATT&CK® tactics.
A framework for executing cloud attacker tactics, techniques, and procedures (TTPs) that can generate APIs, Sigma detection rules, and documentation from YAML-based definitions.
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Common questions about comparing Dorothy vs Leonidas for your threat simulation needs.
Dorothy: Dorothy is a tool to test monitoring and detection capabilities for Okta environments, with modules mapped to MITRE ATT&CK® tactics..
Leonidas: A framework for executing cloud attacker tactics, techniques, and procedures (TTPs) that can generate APIs, Sigma detection rules, and documentation from YAML-based definitions..
Both serve the Threat Simulation market but differ in approach, feature depth, and target audience.
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