Blog Security Risky Business: Determining Malicious Probabilities Through ASNs Will Rogers is a data scientist senior II lead on the Threat Intelligence Engineering team at Akamai Technologies. Executive summary \r\n \r\n Using Akamai’s vast visibility into internet trends and activity, Akamai researchers have been analyzing autonomous system numbers (ASNs) to assess the risk of large swaths of the internet. \r\n ASNs represent the pools of IP addresses that are managed ISPs, cloud computing companies, and multinational conglomerates, as well as smaller organizations. \r\n Various characteristics of these ASNs — including its registered location, type of provider, and the policies that govern the usage of IPs within the ASN — can impact the probability of attackers being found using IPs within these ASNs. \r\n Understanding the maliciousness of an ASN allows security practitioners to make more-informed predictions about the risk of any given IP, even if it’s not a known threat.…