CloudGoat is a free cyber range training solution. Security Scenario Generator (SecGen) is a free cyber range training solution. Features, integrations, deployment and the company behind each one, side by side.
CloudGoat is a vulnerable-by-design AWS deployment tool that creates intentionally insecure cloud environments for hands-on cybersecurity training through capture-the-flag scenarios.
SecGen is an open-source framework that automatically generates vulnerable virtual machines and hacking challenges for cybersecurity education and penetration testing training.
See more solutions in this category, or build a security stack from your picks.
Based on what each listing shows: deployment, company size, price and open source.
CloudGoat fits if you want a cloud product.
Security Scenario Generator (SecGen) fits if you need both cloud and on-premises options.
Common questions when comparing CloudGoat vs Security Scenario Generator (SecGen) for cyber range training.
CloudGoat: CloudGoat is a vulnerable-by-design AWS deployment tool that creates intentionally insecure cloud environments for hands-on cybersecurity training through capture-the-flag scenarios.
Security Scenario Generator (SecGen): SecGen is an open-source framework that automatically generates vulnerable virtual machines and hacking challenges for cybersecurity education and penetration testing training.
The table above shows where their features, integrations, deployment and company size fit differ.
CloudGoat is open-source with 3,507 GitHub stars. Security Scenario Generator (SecGen) is open-source with 2,749 GitHub stars. The vendor behind a product decides its roadmap, support, and longevity, so check each company's profile before you commit.
Often, yes. CloudGoat and Security Scenario Generator (SecGen) are both Cyber Range Training products, and both cover CTF, Education, Vulnerable Applications. Use the table above to see where features, deployment and company size fit differ.
No Cyber Range Training shortlist yet. This is the closest one.
Updated 2026-11-02
See the shortlist