Abstract: Examples disclosed herein relate to confidence levels in reputable entities. Some of the examples enable identifying a particular reputable entity that is originated from a plurality of sources including a first source and a second source; determining a first level of confidence associated with the first source; determining a second level of confidence associated with the second source; determining an aggregate level of confidence associated with the plurality of sources based on the first and second levels of confidence, wherein the aggregate level confidence is higher than the first and second levels of confidence; and determining an entity score for the particular reputable entity based on the aggregate level of confidence.

Abstract: Examples disclosed herein relate to potential blocking impacts. Some of the examples enable obtaining network traffic data of a network that is accessible by a plurality of users. The network traffic data may comprise occurrences of a reputable entity. Some of the examples further enable determining, based on the network traffic data, a potential blocking impact of blocking the reputable entity from the network. Some of the examples further enable providing the potential blocking impact to be used in an application of a network policy to the reputable entity.