The challenges of cybersecurity in the era of artificial intelligence

Artificial intelligence (AI) is finding application in several scenarios, including cyber attacks. Hackers use AI to develop highly sophisticated phishing emails. By analyzing large data sets, these tools are able to personalize messages with a degree of precision that can fool even the most experienced users, significantly increasing the likelihood of successful attacks.

Manipulation of images to evade security systems

AI algorithms are capable of manipulating images in such a way as to deceive facial recognition systems, a technique that is particularly relevant in security contexts. Through almost imperceptible modifications, images can be created that can pass security filters without arousing suspicion, posing a serious risk to the integrity of systems based on this technology.

Automating brute force attacks with AI

The evolution of AI has allowed attackers to automate brute force attacks, making them more efficient. Using AI-based technologies, it is possible to optimize the selection of credential combinations to test, reducing the time needed to find valid ones. This methodology uses machine learning to adapt and improve with each attempt, increasing its effectiveness over time.

The use of AI to develop advanced malware

Hackers have started using AI not only to optimize known processes, but also to develop new forms of malware. These threats, equipped with learning capabilities, can adapt to the environment in which they are released, modifying their behavior to avoid detection. Such innovation in the use of AI represents a considerable challenge for security researchers, forced to face increasingly sophisticated and evolving threats.