Google “breaches and human error” and be greeted with a seemingly endless list of articles that declare 82%, 88%, and even 95% of breaches are the result of human error.

The solution to esports’ identity and multi-accounting problem? Biometrics combined with AI-powered identity proofing and verification.

In an era marked by technological advancements and an ever-increasing dependence on digital platforms, data privacy has emerged as a critical concern.

It doesn’t matter how many security leaders write alarmist letters, the fact is that AI is too widespread and too easily replicated to be locked away.

Although it may seem counterintuitive, prioritizing the protection of low risk data can actually end up being a better use of resources.

Artificial intelligence (AI) has significant implications for cybersecurity, both in terms of enhancing cybersecurity defenses and creating new challenges and risks.

To effectively combat and mitigate white-collar crime, it is crucial to delve deeper into the key factors of white-collar crime and their causes.

The answer to the challenges facing business isn’t “more security.” Instead, it’s security that better reflects the unique challenges of the moment.

In an era of endless new security technology, protecting a business’s employees, customers and the public at large is a priceless endeavor.

ChatGPT has started to become an indispensable tool for many people, but, cybercriminals have wasted no time in exploiting its security vulnerabilities.