This is how AI hackers steal billions in simple ways

A report revealed that artificial intelligence has expanded the scope of hacker attacks, making it easier for hackers to target a larger number of victims and steal huge sums of money with less effort.

A report from The Economist stated that after the launch of the ChatGPT chatbot in 2022, hackers no longer need to spend huge sums on hacker teams and equipment, thanks to generative AI models.

AI threat researcher Vitaly Simonovich said that the ChatGPT chatbot could create malware that would breach firewalls and compromise users in a short period of time.

This new development has had a disastrous impact on many companies, which have fallen victim to AI-powered hackers.

Hackers exploited artificial intelligence by using large language models (LLMs) to expand the scope of malware and create fake videos, images, and emails.

Hackers can launch large-scale campaigns by gathering massive amounts of information from the internet and social media to create fake emails.

Hackers are also using artificial intelligence to make malware more dangerous. They can send PDF files containing code that works with artificial intelligence to infiltrate networks. This tactic was used in attacks on security and defense systems in Ukraine last July.

These threats are a growing concern for companies and have led to significant financial losses. According to the report, AI was implicated in one in six data breaches last year.

Deloitte, a consulting and financial services firm for businesses and governments, estimates that generative AI could lead to $40 billion in theft by 2027, up from $12 billion in 2023.

This growing threat has led to increased demand for cybersecurity services, and companies in this sector have witnessed significant growth.

Major technology companies with cloud-based platforms have also worked to enhance cybersecurity. Microsoft acquired ColdKnox, a company specializing in identity protection, in 2021, while Google developed BigSleep, a company that detects attacks and vulnerabilities before they are exploited.