How Do You Balance Security Policies and User Experience?

How Do You Balance Security Policies and User Experience?

In recent months, cases of data leakage and misuse of customer information have generated several damages in some organizations. Facebook is one of the most emblematic recent examples, as it lost a large market value and was forced to hastily modify its privacy policies under the angry eyes of its users. In the financial sector it is not different. Whenever any institution is involved in a security incident, the losses are countless.

“A bank needs to be much more responsible with its clients’ data, after all, a leaked password can generate millionaire losses”, explains Julio Carvalho, CA Technologies’ Cybersecurity and API director.

Identity fraud represents such a high risk for banks lately that US$4.5 billion this year alone should be invested in access management, according to information from Gartner.

However, the challenges for banks go beyond this, as security should never create friction in the user experience. “The customer is increasingly demanding and intolerant of slow interfaces and unintuitive designs,” he says.

The differential is precisely in taking care of the complete usability cycle of this client, from the moment they download the app and authenticate their identity to the ease and speed with which they perform their services.

The case of Banco Original is a good example of how CA has been working with financial institutions. “The institution was created with the proposal of uncomplicating the relationship of clients with their finances, and everything can be done through mobile devices”, he explains.

According to Carvalho, they had the challenge of creating resources and products with speed, quality and security, and the bank sought a solution that would allow it to create an open, reliable and efficient API platform. “With this, Banco Original facilitated innovation and accelerated the launch of secure, quality services.”

New Fronts of Protection

Artificial Intelligence technologies and the development of available analytical models are transforming the Security market in this regard. “In a typical big data scenario, where more and more access, authentication and transaction logs are mixed together, it is challenging to track attacks in patterns that change very quickly,” Carvalho explains.

By using Machine Learning techniques, solutions take the responsibility of predicting every possible type of deviation away from the expert, leaving that job to an engine that re-learns and adapts more quickly.

What ways do you use to provide better security for your application without compromising the user experience? Tell us!

Source: Stefanini Group

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