Review of AI and Machine Learning Applications to Predict and Thwart Cyber-attacks in Real-time
DOI:
https://doi.org/10.70705/ppp.fetaiml.2024.v03.i01.pp1-7Keywords:
AI, Machine, Applications, Thwart, Cyber-attacks, Real-TimeAbstract
The ever-changing nature of cyber threats in today’s cybersecurity world necessitates creative responses. There has to be a
paradigm change towards integrating AI and ML since traditional methods are encountering unprecedented problems. With
an emphasis on the rapid prediction and mitigation of cyber-attacks, this research painstakingly investigates the possibilities of
AI and ML to strengthen real-time cybersecurity. In response to a rapidly evolving threat environment, this article spearheads
research into cutting-edge cybersecurity solutions. Investigating the effectiveness of AI and ML in strengthening defensive
systems is urgently needed due to the limitations of existing approaches. This research aims to thoroughly examine how AI
and ML contribute to real-time cybersecurity. The article highlights their ability to quickly anticipate and prevent cyberattacks.
The investigation covers a wide range of topics, from the complexities of the models themselves to important issues of ethics,
security, and new developments. The investigation covers extensive study avenues and is based on a solid foundation. Among
them, there is a pressing need to provide cryptographic solutions that are resistant to quantum assaults, strengthen explainability,
strengthen defenses against adversarial attacks, and encourage human-AI cooperation. In this article, we will explore the
complex technological, organizational, and ethical aspects of using AI and ML for real-time cybersecurity. The results of this
investigation shed light on the potential benefits and drawbacks of using AI and ML in cybersecurity. Important issues requiring
careful study and investigation include ethical concerns, weaknesses in defense against adversarial assaults, and the pressing need
for quantum-resistant encryption. This study imagines a future where cybersecurity ecosystems are built to last and adapt to
new threats by combining human knowledge with AI and ML capabilities. The research paths that have been laid out provide a
thorough plan for future innovations and provide the groundwork for integrating AI and ML to protect our digital world from
the always changing cyber threat scenario.


