AI-powered solution simulates high-intensity attacks across broader environments, continuously learning and adapting to anticipate future vulnerabilities and stay ahead of evolving threats.
MirrorHive uses advanced AI to continuously learn and map network connections in the cloud. By creating dynamic clusters of components, MH generates precise digital twins for broader, more intense penetration tests. This evolving AI engine simulates hacker behaviors and provides personalized recommendations, enabling organizations to adopt a proactive defense strategy on an unprecedented scale.
At this stage, the AI engine identifies the current configuration of the cloud infrastructure. It analyzes data collected from active components, including servers, data storage, and cloud-based services, documenting the topology and settings in detail.
At this stage, the AI engine specializes in performing simulated attacks on copies within the TWIN environment. It attempts to penetrate, cause faults, and breach security using various methodologies to identify vulnerabilities and weaknesses.
At this stage, the AI engine specializes in performing simulated attacks on copies within the TWIN environment. It attempts to penetrate, cause faults, and breach security using various methodologies to identify vulnerabilities and weaknesses.
Our proactive approach identifies potential threats before they can manifest, ensuring cloud systems remain secure and operational. With Mirrorhive, cloud environments benefit from real-time simulations and advanced threat detection that continuously adapts to evolving cyber risks.
Donec pede justo, fringilla vitae, eleifend acer sem
Donec pede justo, fringilla vitae, eleifend acer sem
Donec pede justo, fringilla vitae, eleifend acer sem
Donec pede justo, fringilla vitae, eleifend acer sem
