Which solution is described as a mobile intrusion prevention app that uses machine learning to identify and prevent network-based and host-based threats on iOS and Android?

Which solution is described as a mobile intrusion prevention app that uses machine learning to identify and prevent network-based and host-based threats on iOS and Android?

• A. Cain & Abel
• B. Miradore
• C. Cloud server/data storage
• D. Nimbostratus

Answer: (B)

A mobile intrusion prevention app that uses machine learning to identify and prevent network-based and host-based threats on iOS and Android is described here as a security platform that manages and protects mobile devices across both major mobile ecosystems. Miradore fits this idea because it’s a comprehensive mobile device management and security solution designed for enterprise use on iOS and Android. It provides security capabilities that align with detecting and blocking threats on devices (host protection) as well as monitoring and mitigating suspicious network activity (network protection). The ML element helps the system learn normal device and network behavior over time, enabling it to spot anomalies, enforce security policies, and take automated actions to prevent compromises across the fleet of devices. The other options don’t align with this description. Cain & Abel is a Windows-focused password-cracking and network analysis tool, not something that runs on mobile devices or provides mobile intrusion prevention. Cloud server/data storage is a generic service category rather than a mobile‑security app that operates on iOS and Android. Nimbostratus is a cloud security product, which isn’t described here as a mobile intrusion prevention solution for iOS and Android.

A mobile intrusion prevention app that uses machine learning to identify and prevent network-based and host-based threats on iOS and Android is described here as a security platform that manages and protects mobile devices across both major mobile ecosystems. Miradore fits this idea because it’s a comprehensive mobile device management and security solution designed for enterprise use on iOS and Android. It provides security capabilities that align with detecting and blocking threats on devices (host protection) as well as monitoring and mitigating suspicious network activity (network protection). The ML element helps the system learn normal device and network behavior over time, enabling it to spot anomalies, enforce security policies, and take automated actions to prevent compromises across the fleet of devices.

The other options don’t align with this description. Cain & Abel is a Windows-focused password-cracking and network analysis tool, not something that runs on mobile devices or provides mobile intrusion prevention. Cloud server/data storage is a generic service category rather than a mobile‑security app that operates on iOS and Android. Nimbostratus is a cloud security product, which isn’t described here as a mobile intrusion prevention solution for iOS and Android.