We live in such times where having a Digital Identity has become indispensable. From voting to something as basic as getting a new phone connection, the need for Digital Identity has grown enormously.
We live in such times where having a Digital Identity has become indispensable. From voting to something as basic as getting a new phone connection, the need for Digital Identity has grown enormously. But with this what has also grown are the issues related to Personal Data Protection and Secure Sharing. Problems like identity fraud, fake digital IDs, and misuse of children’s digital identities have grown exponentially as has the technology.
The question that everyone is asking is: who do we trust to resolve these issues? Should we go back to relying on meticulous human efforts or should we stick to technology for finding solutions to its own problems? The answer may be a lot more complex than we think.
Cove Identity, a private digilocker, is a specialist with online identity management itself, prefers to take up this intertwined approach. Here’s how we do it:
We are now in that era where imagining digital applications without AI and ML is almost impossible. Digital Identity management and fraud detection are no different. Artificial intelligence and machine learning offer massive potential when it comes to replicating learning at a massive scale and they enable us to accomplish that in a much shorter time span.
Machine learning (ML) comes in as one of the greatest technological marvels of our times. Its true potentials are still being explored but what we use as of now has great use for intelligent systems like the one at Cove Identity.
The current era is highly dynamic – changing and evolving by the split second. While the technology is at its best by far, total reliance on it is still questionable. Hence, a hybrid Man-Machine approach is what’s best for achieving fast, reliable and scalable solutions for digital identity verification processes.