Advancements in AI for Cybersecurity: A Comprehensive Review of the Latest Science and Engineering Trends
Srinivasa Rao Gundu, Panem Charanarur, Biswadip Basu Mallik · Apple Academic Press eBooks · 2025
Cyber threats are complex, and the digital environment is always developing; hence, new solutions are required to address these challenges. It is common knowledge that machine learning (ML) and other kinds of artificial intelligence (AI) have rapidly become indispensable instruments for enhancing the capabilities of the military. Through the use of this proactive strategy, businesses have the potential to enhance their cybersecurity, automate their reaction to incidents, and discover risks more quickly. However, there are challenges to integrating AI into cybersecurity frameworks, such as algorithms’ lack of transparency, algorithms’ susceptibility to hostile assaults, biases in training data, and a shortage 204 of qualified specialists. Compliance with regulations and ethical considerations pose substantial challenges. The report emphasizes the need to develop a comprehensive cybersecurity strategy by taking a multi-faceted approach that addresses hurdles, ethical considerations, and the necessity for human expertise and AI skills to work together. One possible outcome of using AI is the creation of a more secure and safe internet for all users. To protect our interdependent digital ecosystem, we are combining blockchain technology with AI that is focused on people and algorithms that are resistant to quantum computing.