Many workers have a watchful eye for attempted scams. But what if they receive a phone or video call from someone who looks, and sounds, exactly like their boss?

Despite only being three years into the decade, the 2020s has already cemented itself as a turning point in the artificial intelligence arms race.

A Deloitte report found that synthetic identity fraud such as deepfakes could trigger the need for more sophisticated biometric security systems.

According to a fraud report, while the overall volume of spam calls declined from Q1, data collected showed that the rate of fraud calls increased.

Whether firms adopt generative AI (GenAI) or not, hackers and security researchers are already exploring how it could be abused to attack anyone.

 According to a recent artificial intelligence (AI) and technology report, consumers appear to overestimate their ability to spot deepfakes.

The quick rise in various artificial intelligence (AI) platforms have caused a number of security concerns, including online voice scams.

New AI technologies have raised a number of security concerns as artificially created audio and video makes it easier to commit identity fraud.

Employee education, artificial intelligence and social media monitoring can help enterprise cybersecurity leaders combat deepfakes.

Deepfakes use artificial intelligence (AI) to impersonate voices, images and videos to spread misinformation, affecting government and enterprise security.