Next-Generation Cybersecurity The Role of AI and Quantum Computing in Threat Detection

Abstract

The high rate at which cyber threats are increasing requires the adoption of new security systems using new technologies. This research work focuses on the disruptive contributions of Artificial Intelligence (AI) and Quantum Computing to modern cybersecurity. Artificial intelligence-based security solutions are better at identifying threats, automating response and making them more resistant to advanced attacks, such as advanced persistent threats (APTs) and zero-day vulnerabilities. Until then, Quantum Computing is both a curse and a blessing; an opportunity to implement radical cryptographic protocols and secure communication, but a threat to traditional cryptography. Quantum Machine Learning (QML) is an AI and quantum algorithm that improves intrusion prevention and anomaly detection. There is much to do, including exploring the capabilities of quantum hardware, addressing the challenges of applying quantum security to existing infrastructures, and navigating the ethical issues of AI-based cybersecurity, despite these changes being underway. The answers to these issues lie in the holistic approach (technology, policy and education). In this paper, I provide an overview of current developments, solutions, and future studies in AI and quantum-enhanced cybersecurity and how they can revolutionize threat detection and defense systems in the digital age.