Fraud using artificial intelligence is no longer the scenario of a science fiction film, but our reality. But do not forget that with the development of technology, there is the question of their protection.

Artificial intelligence, including neural networks, has the potential to be used for both good and unscrupulous purposes.

Scam using voice generators: the promotion of voice synthesis and the generation of realistic voices using neural networks can increase the risk of telephone fraud. Fraudsters can use this technology to create fake voice messages or imitate another person’s voice for financial gain. For example: Microsoft voice AI VALL-E (artificial intelligence model) converts text into speech, accurately simulating a human voice, and a recording of just three seconds can serve as a sample. At the same time, artificial intelligence retains the emotional coloring of the speech of the voice sample. Will this give an impetus to the development of telephone fraud? And the answer is positive. Since scammers are often the first to master new technologies and adapt them to their goals.

In addition, there are risks of fake images: neural networks are able to generate realistic images based on existing photographs. Artificial intelligence can be used by a scammer to create fake photos in order to spread false information or deceive biometric verification systems.

It gets even scarier when AI creates malware, where members of hacker forums use AI to write malicious code and phishing emails. Note that even those who do not have experience in programming can write a virus. Artificial intelligence technologies are trained on the basis of what already exists somewhere, in the future, using this data as a constructor, collecting something new, avoiding logical contradictions.

Indeed, with the help of social engineering and neural networks, it is possible to create a completely plausible email with a malicious link. Social engineering is a method of manipulating people based on understanding and using their psychological characteristics. For example, hackers can use machine learning to generate text based on samples or information from social media and other sources to make writing more personal and persuasive.

It is important to understand that such emails can be very dangerous as many users can be tricked into clicking on a malicious link. Therefore, in order to protect yourself from such attacks, you need to be vigilant and not click on suspicious links. You also need to use antivirus programs and other protection tools to protect your devices from malware and attacks.

To protect your data and money, we recommend to use secret words or passphrases to ensure the safety of your correspondence and calls. This can be useful, for example, if you are exchanging sensitive information or if you need to make sure that you are communicating with the right person.

For example, if someone close to you calls from his number, speaks to you in his own voice, you will not understand that the neural network is talking to you. And that’s the whole trick. And fraudsters are helped by the leaked bases of companies, such as online deliveries, online purchases, and the like.

Some protection methods include the use of digital signature verification algorithms, analysis of image metadata, or the use of machine learning algorithms to detect anomalies and inconsistencies.

Be vigilant, do not share personal information if there is doubt about the authenticity of a call or message. This can help protect you and others from potential attacks from scammers and cybercriminals.