The Future of Cybersecurity: Predicting Trends and Preparing for Emerging Threats
DOI:
https://doi.org/10.63282/3050-922X.ICRCEDA25-128Keywords:
Cybersecurity, Emerging Threats, AI, Machine learning, Zero Trust, Quantum computing, Threat intelligenceAbstract
The digital landscape of today’s world is evolving very rapidly, providing both prospects and hurdles, which calls for the vital importance of cybersecurity in the space of technological advancement. Focusing on future trends and emerging threats, this paper provides a forward-looking view to help organizations and individuals be prepared for the risks to come. As remote work, cloud computing, and IoT devices proliferate, traditional security solutions are ineffective. AI and machine learning innovations are changing how threat detection and prevention are being done; frameworks like Zero Trust are changing how safe access is being made. However, adversaries utilize these technologies to fit in highly sophisticated attacks, including AI-based malware and advanced social engineering techniques. We study the application of quantum computing in solving problems of existing cryptographic systems and the importance of post-quantum encryption protocols. The paper also talks about regulatory and ethical challenges and stresses the need for joint efforts between governments, organizations and researchers to design comprehensive security frameworks. This study identifies trends such as the move towards proactive threat intelligence and the combination of behavioral biometrics intended to deliver actionable insights for navigating the evolving cybersecurity landscape. The findings highlight continuous education, adaptive strategies, and investment into cutting-edge technologies to protect against tomorrow’s threat
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