Blog Security AkaNAT: How Akamai Uses Machine Learning to Detect Shared IPs Chen Doytshman is a Senior Lead Security Researcher at Akamai. With knowledge in both application security and machine learning, he strives to solve complex cybersecurity-related problems with machine learning methods and techniques. By detecting shared IPs, organizations can improve their cybersecurity posture, reduce the risk of data breaches, and prevent financial loss. Executive summary \r\n Shared IPs are IP addresses that serve multiple users or devices, like proxies or corporate network address translations ( NAT s). \r\n \r\n These types of IPs pose a significant challenge to cybersecurity defenses and often demand precise tailored treatment.  \r\n \r\n Detecting and flagging shared IPs in a timely manner is a crucial capability of many security applications. \r\n \r\n Akamai uses a novel machine learning (ML)–based detection algorithm to detect and classify shared IPs.…