Traditional insurance providers are entering an era of significant transformation. As automation and artificial intelligence evolve and continue to shape digital transformation, like humans, a device or non-human entities (NPEs - e.g. chatbot) may need to “learn” their access controls directly from the network they connect to, without needing human intervention to manually configure access controls.
AUTOMATED PAYMENT SERVICES
Let’s take the example of a road toll authority, automatically collecting payments for vehicles passing through on the roads below. In such a system, the toll provider today merely takes a snapshot, usually of your license plate and sends you a bill through their payment partner.
A NEW RECOMMENDATION ENGINE
If we were also able to harness the power of the data being collected here - location, vehicle information, driver data, payment information, etc. - we could unlock new value for all participants in the ecosystem (toll provider, payments provider, driver).
The interplay between these three concepts is fundamental to drive automation in Financial Services. For the driver, receiving recommendations on ‘next-guess needs’ and/ or where to stop next, with offers from potential services providers en route like petrol or charging stations, provide net-new and unique value-adds to the entire driving experience.
Trusted data. IndyKites Identity Relationship Graph connects the identity data and forms the Relationships (like the driver of the vehicle to his/her credit card for payment at toll). This achieves ‘Context’.
Security and Zero Trust. IndyKite’s Dynamic Authorization invokes the right checks and balances based in the correct context so the transaction is smooth, valuable, and efficient, yet highly secure.