Predictions for the Future of Modern Data Authentication

Table of contents

Screen showing data authentication.

Whether in the public fleet industry, telecommunications, or another sector that manages significant data sets, all companies need to ensure that they hold their data security to the highest standards. Many security features are still in their infancy, but the amount of information being stored and accessed daily has increased exponentially over the last few years. Thankfully the future of modern data authentication is bright. 

Advances in AI and machine learning will allow for more accurate predictions about who someone is by referencing how they speak or move. New technology will help to improve authentication processes even further as we enter this new era of big data, cloud computing, and mobile devices.

Data is at the forefront of almost everything we do, from content production to customer service, in this increasingly digital world. It is more critical than ever to protect sensitive information by verifying that it is only accessible to those with the proper credentials to view it. 

In this post, we touch on our top predictions for the future of modern data authentication and the benefits it brings to the table. 

What Is Data Authentication? 

Data authentication is the process of ensuring that the data you're using is authentic and hasn't been tampered with or altered in any way. If you're dealing with sensitive data—like personally identifiable information (PII) or payment information—you can be sure that it hasn't been changed or manipulated.

Data authentication is a crucial part of your security strategy because it allows you to know whether or not your system is secure. It also helps protect your customers' privacy and financial security.

Verification can be done through various methods, like hashing or signing, depending on the type of data and the user's needs.

What Are the 3 Types of Data Authentication?

There are three types of authentication:

  1. Password: This is the most common type of authentication, and it consists of the user providing their current password when prompted.
  2. One-time password (OTP): A one-time password is a security token that generates a new code every time. These codes allow you to log in to a website or access an application.
  3. Biometric: Biometric authentication uses unique physical characteristics like fingerprints, iris scans, and facial recognition to verify identity.

Predictions for the Future of Modern Data Authentication

Biometrics will continue to dominate

We live in a world where most of our lives are online, and securing personal data is essential. Biometric authentication provides a secure and convenient way to protect your information. Use it for everything from unlocking phones to accessing stock trading apps, with no need for usernames or passwords.

In the coming years, we expect to see a continued rise in biometrics as an authentication method because biometrics are more secure than passwords and are harder to hack. 

However, there are concerns about ensuring that the person accessing a system is who they say they are. So, the future of data authentication and biometrics will be shaped by liveness detection. 

Liveness detection helps ensure that the user accessing the system is not just an image or video of someone else's face but instead that it's an actual person's face.

Software-defined perimeters will help protect critical systems

Software-defined perimeters are one way to protect your data from internal threats, external threats, and even those who have access to the network. Software-defined perimeters are a new way to protect data that uses existing infrastructure and includes technology like firewalls, intrusion detection systems, and other tools. 

Software-defined perimeters can help protect against advanced attacks by monitoring all traffic in real-time without requiring changes to the existing network, application, or modern data stack. They also allow you to monitor traffic using an analytics engine that provides context on what's happening across multiple devices.

Embedded hardware keys are taking off

In the future, embedded hardware keys will likely be used more often than software-based keys and biometrics.

Embedded hardware keys are a new way of protecting data, and they use a physical device—like a USB flash drive or a smart card—to generate random numbers and sign transactions. 

These devices provide the same level of security as software-based keys, but their use is limited to specific platforms and applications. 

They also cannot be stolen like passwords or biometric data can, making them ideal for securing sensitive information such as medical records or credit card details.

Blockchain will play an increasing role

Blockchain is a distributed ledger technology (DLT) that allows data to be recorded and stored securely. Within a blockchain system, the information is stored in blocks linked together chronologically using cryptographic hashes, making it almost impossible for someone to change any of the data once it has been recorded.

Blockchain can also provide an audit trail of changes made in any particular data block. This helps organizations keep track of who changed or accessed what when, so they can be confident about who did what and when they did it.

Machine learning and AI tools will continue to improve security

Machine learning and AI tools are already being used to detect fraud and predict and prevent attacks. These same technologies can be used in the future to detect and prevent attacks like insider threats, which is one of the most common types of data breaches today.

Machine learning allows companies to build algorithms that analyze highly complex data for patterns or anomalies that may indicate a problem such as an impending attack. By using this technology, organizations can avoid costly mistakes when it comes to security measures, such as implementing too many unnecessary rules or failing to take action on warning signs from their systems.

AI can process massive datasets to identify patterns and anomalies to make predictions. It can learn from its own mistakes, which is a considerable advantage over human analysts who need plenty of experience before they can make accurate predictions.

Final Thoughts on the Future of Data Authentication

New technologies are creating opportunities for better data protection. 

The future of online authentication isn't simply app-based or password-focused; it's already beginning to take on new forms—and by becoming aware of these trends now, you can get a head start on what's coming. 

No matter how much has changed in the last year, we know that there are still plenty more changes and innovations to come—but with this overview in mind, you have an idea of what to look out for and prepare for as we move into 2023 and beyond.

Getting Started with DreamFactory

The right platform can streamline the way you manage APIs. DreamFactory gives you a long list of essential and useful features, including live API docs, instant API creation and robust security controls. Start your free 14-day free trial with DreamFactory to discover how a top API platform can improve your business’s technology.

Author: Guillaume Deschamps

Guillaume is a digital marketer focused on handling content management at Wordable. Outside of work, he enjoys his expat life in sunny Mexico, reading books, wandering around and catching the latest shows on TV. Want to submit a guest post? Reach out to!

Read More: