AIMon can detect and classify known malicious network activities by monitoring for malware and phishing websites. Network traffic is correlated with known indicators of compromise (IOCs), such as domains, IP addresses, URLs, TLS certificates and JA3 fingerprints based on threat intelligence feeds. Attack signatures can also be applied to the traffic. Our engine comes with a converter to transform existing Snort and Suricata rules seamlessly without performance degradation.
AIMon provides powerful insights to identify suspicious traffic; long flows, expired certificates, and high-usage patterns are some of the triggers for further investigation. By tapping on the power of deep learning, AIMon can identify algorithmically generated domains that are used for nefarious purposes. With built-in functionality to record traffic, further analysis and investigation is made easier.
AIMon enables granular control over network traffic for policy enforcement, enabling identification and management of applications, access control based on user identity, and real-time threat detection and mitigation.
AIMon facilitates bandwidth management through traffic prioritisation, Quality of Service (QoS) enforcement, and bandwidth throttling, ensuring optimal performance for critical applications, equitable distribution of resources, and prevention of network congestion and abuse.
We foster a culture of collaboration, leveraging the diverse expertise of our team and forging partnerships with customers to achieve shared success in combating network and cyber threats