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  • In 2023, neural network attacks will become a new milestone in cybersecurity


    With the advent of artificial intelligence, cyberspace has been divided into "before" and "after".

    In today's digital world, cyber threats are constantly evolving. The widespread use of artificial intelligence in cyberattacks has become one of the most significant developments in recent years. As AI technology advances, attackers are using it to carry out more sophisticated and effective attacks. Cyber attacks based on artificial intelligence can be divided into 5 main types:

    Advanced Persistent Threat (APT). It is a covert threat usually backed by a nation-state or government-sponsored group that gains unauthorized access to a computer network and goes undetected for an extended period of time. APT groups often use artificial intelligence to avoid detection and target their prey.

    1. Deepfake attacks. In them, hackers use videos or images generated by neural networks to impersonate real people and run fraud or misinformation campaigns.
    2. AI-based malware. Such malware can operate on its own and adapt to changing conditions. It also helps avoid detection.
    3. Phishing. Using natural language processing (NLP) and machine learning (ML), attackers can create more convincing phishing emails and messages designed to trick people into revealing their personal details.
    4. DDoS attacks. Here, artificial intelligence is used to identify and exploit vulnerabilities in the network, allowing the cybercriminal to increase the scope and impact of the attack.

    AI-based cybersecurity threats are of great concern to both organizations and individuals, as such cyberattacks can bypass traditional security measures and cause significant damage. Therefore, it is very important to apply robust cybersecurity measures.

    It was previously reported that cybercriminals, some with little or no programming experience, were using ChatGPT to create malware and phishing emails that could be used to carry out espionage, ransomware attacks, spam and other malicious campaigns.

    Author DeepWeb
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