Using AI & machine learning to deliver robust authentication judgements
Robust and accurate authentication methods are critical to ensuring that the digital world remains safe. These authentication requests work in a similar way to a criminal trial. Evidence that the user is who they say they are is gathered and presented to an impartial judge who assesses the evidence and decides the request’s fate.
In this Callsign whitepaper we open the doors to the court of authentication and explain how our Intelligence Driven Authentication Platform works.
It covers:
- How we collect evidence from a wide variety of sources, ranging from behavioral biometrics to contextual insights.
- How specialist advice on interpreting this evidence is given by machine learning models, which have become experts in their field by exposure to large data sets.
- How we assesses the advice in its totality (through a process called fusion), to come up with an informed decision, and robust final judgement.
- How miscarriages of justice are used as a learning tool (by feedback to the machine learning models).
