It drives unattributable cyberattacks.

Cybercriminals today have many sophisticated AI-driven cyberattacks methods by which they can create problems for the government, organizations, businesses, and individuals. Existing cybersecurity tools are no longer viable against this advanced cyber-weaponry (Thanh and Zelinka Citation2019). The negative use of AI to compromise digital security is known as AI-driven cyberattack, in which cybercriminals can train robots to socially engineer targets at human or superhuman levels of performance (Brundage et al. Citation2018). AI-assisted attacks will be able to adapt to the environment it infects. Learning from contextual data to emulate trustworthy features of cyberspace or target weak points it discovers (DarkTrace, 2020). AI-driven cyberattacks are not a far-fetched future threat. The necessary tools and building blocks for launching an offensive AI-driven cyberattack already exist (Dixon and Eagan Citation2019). Recent advancements in AI have influenced the tremendous growth in automation and innovation. Although these AI systems have many benefits, they can also be used maliciously. AI-driven cyberattacks have been on the rise in recent years. Even as many organizations transit to more secure cyberspace, such as cloud storage services, their resources remain vulnerable to cyber criminals (Bocetta Citation2020). In general, AI-driven cyberattacks will only worsen, then it will be almost impossible for traditional cybersecurity tools to detect them. It is simply a question of machine efficiency vs. human effort. The complexity and size of this growing trend are submerging cybersecurity teams. In contrast, the advanced and qualified cybersecurity specialists necessary to counter this threat successfully are increasingly expensive and difficult to find. The consequences of these emerging AI-driven attack techniques could be life-threatening and highly destructive. These subtle attacks undermine trust in organizations by undermining data security and integrity, potentially resulting in systemic failures (Cabaj, Kotulski, Księżopolski & Mazurczyk, Citation2018; Hamadah & Aqel, Citation2020). An AI-driven cyberattack will harness a multitude of cyberspace and computer resources well beyond what a human could enlist, resulting in an attack that is faster, more unpredictable, more sophisticated than even the strongest cybersecurity team can respond against. (Bocetta Citation2020). As AI becomes a more powerful tool in the hands of malicious actors, cybersecurity researchers, practitioners, and governments will need to respond with more inventive solutions to successfully safeguard cyberspace from malicious actors (Hamadah & Aqel, Citation2020). AI-driven attacks employ sophisticated obfuscating algorithms and frequently change identifiable characteristics that could reach a level of adaptability that renders it virtually undetectable to both behavioral and signature-based antivirus tools (Babuta, Oswald & Janjeva, Citation2020). High-security risks and elusive attacks in benign carrier applications, such as DeepLocker, have demonstrated the intentional use of AI for negative objectives. Attackers are constantly improving and changing their attack strategy, with a particular focus on the use of AI-based techniques in the attack process, known as AI-driven cyberattacks, which can be used in collaboration with traditional cyberattack techniques to cause more significant damage in cyberspace while remaining undetected (Kaloudi and Li Citation2020; Thanh and Zelinka Citation2019; Usman et al. Citation2020).