CyberBattleSim vs. SecureCRT

Cyberbattle SIm is actually a simulation application with the implementation of Python Based open AI to implement automated cyber agents and to deploy them on stimulating environments and networks with vulnerabilities and attack vectors to analyze and implement the learnings.

Incentivized

SecureCRT is well suited for any environment that has a back-end network configuration or in a system administration environment. The ability to configure devices via CLI is the best place where we can use SecureCRT. Configuring network changes and taking backup of network devices is a prime example of SecureCRT being used.

Incentivized

• Python Based open AI.
• Uses reinforcement Algorithms for Training Purpose to Agents.
• Simulation environment sets different for Attacker and Defender.

Incentivized

• Needs to create various nodes on the network and have to indicate that services are running, it might be good if automated.
• I think everything is perfect, teaches us a lot.

Incentivized

As compared to the battles with AttackIQ both applications are stable and stimulate the work given, However, while using the attackIQ the architect can automate the testing process and engineering team and fill the gaps. And it offers robust security through continuous, automated security control validation.

Incentivized

• Nice Implication for learning.
• Open source application so no Investment is applicable.
• Helps to understand and analyse the networks security for the device.
• Trigger alerts in XDr or SIEM systems.

Incentivized