Security News > 2024 > February > Cybercriminals get productivity boost with AI

This growth's unintended side effect is an ever-expanding attack surface that, coupled with the availability of easily accessible and criminally weaponized generative AI tools, has increased the need for highly secure remote identity verification.

"Generative AI has provided a huge boost to threat actors' productivity levels: these tools are relatively low cost, easily accessed, and can be used to create highly convincing synthesized media such as face swaps or other forms of deepfakes that can easily fool the human eye as well as less advanced biometric solutions. This only serves to heighten the need for highly secure remote identity verification," says Andrew Newell, Chief Scientific Officer, iProov.

"While the data in our report highlights that face swaps are currently the deepfake of choice for threat actors, we don't know what's next. The only way to stay one step ahead is to constantly monitor and identify their attacks, the attack frequency, who they're targeting, the methods they're using, and form a set of hypotheses as to what motivates them," added Newell.

These attacks are rapidly evolving and pose significant new threats to mobile platforms: injection attacks against mobile web surged by 255% from H1 to H2 2023.

There are two primary attack types observed by the iSOC: presentation attacks and digital injection attacks.

A significant increase in packaged AI imagery tools deployed which make it far easier and quicker to launch an attack and this is only expected to advance.

News URL

https://www.helpnetsecurity.com/2024/02/14/ai-technology-cybersecurity-risks/