Compare AI EdgeLabs vs. Criminal IP

AI EdgeLabs offers an innovative, AI-driven cybersecurity solution tailored for the complexities of distributed Edge and IoT environments. This software-defined platform actively detects and mitigates various threats in real-time, ensuring uninterrupted business functionality. What distinguishes AI EdgeLabs includes: - It is the pioneering cybersecurity solution that utilizes on-device AI to detect concealed network threats and zero-day vulnerabilities that could jeopardize vital operations. - This solution is uniquely crafted for installation directly on edge devices, which are often the most susceptible elements of any edge infrastructure. - With its lightweight design, it can be implemented on almost any edge device, utilizing only 4% of CPU resources without adversely affecting the performance of adjacent applications. - The containerized nature of the solution allows for swift deployment across thousands of edge devices from a remote location within hours. - Notably, it possesses the capability to identify and counter threats even when connectivity is absent or bandwidth is severely limited, ensuring continuous protection.

Criminal IP is a cyber threat intelligence search engine that detects vulnerabilities in personal and corporate cyber assets in real time and allows users to take preemptive actions. Coming from the idea that individuals and businesses would be able to boost their cyber security by obtaining information about accessing IP addresses in advance, Criminal IP's extensive data of over 4.2 billion IP addresses and counting to provide threat-relevant information about malicious IP addresses, malicious links, phishing websites, certificates, industrial control systems, IoTs, servers, CCTVs, etc. Using Criminal IP’s four key features (Asset Search, Domain Search, Exploit Search, and Image Search), you can search for IP risk scores and vulnerabilities related to searched IP addresses and domains, vulnerabilities for each service, and assets that are open to cyber attacks in image forms, in respective order.