There has been a lot of talk about Artificial Intelligence (AI) in recent years. It is certainly a polarizing subject. While it raises hopes about the future of technology and what humanity is capable of, it also raises questions around human control and technological determination. There are those who worry that Artificial Intelligence is going to ‘take people’s jobs’, or even take over the world, and that the world will end up like a dystopian ‘Terminator’ style film.

New advancements in generative AI voice cloning come at a time when banks are looking for additional ways to authenticate their customers – and they’re choosing your voice. Banks adopted the principles of multi-factor authentication years ago. But continued cyber attacks aimed at providing SIM swapping services have increased the risk of assuming the credential owner actually possesses the mobile device. So, where do they go next to prove you’re you? Voiceprint.

Artificial intelligence (AI) is the term on everyone's lips. As a powerful tool that can simplify our daily lives, it has become a technological revolution that impacts us all.

Cybersecurity has always been a complex field. Its adversarial nature means the margins between failure and success are much finer than in other sectors. As technology evolves, those margins get even finer, with attackers and defenders scrambling to exploit them and gain a competitive edge. This is especially true for AI.

In the 50th episode of the Trust Issues podcast, host David Puner interviews Justin Hutchens, an innovation principal at Trace3 and co-host of the Cyber Cognition podcast (along with CyberArk’s resident Technical Evangelist, White Hat Hacker and Transhuman Len Noe). They discuss the emergence and potential misuse of generative AI, especially natural language processing, for social engineering and adversarial hacking.

There has been widespread discussion about the potential impact of AI on society. While the UK Government has played an active role in shaping the conversation around the security and safety of AI, it has also demonstrated its intention to embrace AI where productivity and efficiency benefits may be found.

Software development teams face a constant dilemma: striking the right balance between speed and security. How is artificial intelligence (AI) impacting this dilemma? With the increasing use of AI in the development process, it's essential to understand the risks involved and how we can maintain a secure environment without compromising on speed. Let’s dive in.