9th International Conference on ICT for Sustainable Development

Authors - Edidiong Akpabio, Supriya Narad
Abstract - Fighting the constantly changing terrain of cyber threats has advanced significantly with the combination of cybersecurity and artificial intelligence (AI). This research examines how AI applications— such as speech recognition, image comprehension, and natural language understanding—can revolutionize cybersecurity protocols. Recent studies demonstrating exceptional accuracy rates in speech recognition and visual understanding illustrate the effectiveness of AI in fortifying defences against cyberattacks. However, there are new difficulties and moral problems brought about by the incorporation of AI into cybersecurity. Robust security protocols and ethical standards are required in light of the severe threats posed by adversarial assaults, data poisoning, and weaknesses in AI systems. As a result, numerous methods and instruments, including secure communication protocols and adversarial training, are being used to improve AI security. Furthermore, new ideas with the potential to address these issues include blockchain technology, secure collaborative learning, and federated learning. However, their application necessitates cautious thought and additional study to guarantee their efficacy and scalability. Proactive solutions can be established to manage risks and protect against emerging threats through coordinated efforts among cybersecurity specialists, legislators, and AI researchers. To fully utilize AI in cybersecurity and increase our collective resistance to cyberattacks, this paper emphasizes the significance of ongoing adaptation and ethical inspection.