Digital security must be adaptable to the specific circumstances of each access. Logging into an account using a daily-use mobile phone differs significantly from executing a delicate transaction from a device never seen before.
For this reason, corporations need to find a balance between identity verification and maintaining a fluid digital experience, preventing every interaction from becoming a series of obstacles.
In addition to determining who is accessing, it is possible to analyze data related to the equipment, behavioral patterns, and the operating environment. Device intelligence, for example, helps identify the characteristics of the device, its usage history, and any indicators that might suggest suspicious behavior.
By cross-referencing this data with biometric and identity information, it becomes possible to make a more complete assessment of the situation, without a single sign being sufficient to define, in isolation, whether the interaction is fraudulent.
A significant change in context may justify the inclusion of an extra authentication phase. Examples include changing devices, exhibiting behavior different from the usual, or executing a higher-sensitivity operation.
The principle adopted is to apply stricter controls only when the risk requires it, instead of imposing the same procedure on all interactions performed.