AIAS: AI-ASsisted cybersecurity platform to defend against adversarial AI attacks

The increasing integration of Artificial Intelligence (AI) in critical sectors such as healthcare, finance, and cybersecurity has simultaneously exposed these systems to unique vulnerabilities and cyber threats. This paper discusses the escalating risks associated with adversarial AI and outlines the development of AIAS. AIAS is a comprehensive, AI-driven security platform designed to enhance the resilience of AI systems against such threats. In addition, AIAS features advanced modules for threat simulation, detection, mitigation, and deception, using adversarial defense techniques, attack detection mechanisms, and sophisticated honeypots. The platform leverages explainable AI (XAI) to improve the transparency and effectiveness of threat countermeasures. Through meticulous analysis and innovative methodologies, AIAS aims to revolutionize cybersecurity defenses, enhancing the robustness of AI systems against adversarial attacks while fostering a safer deployment of AI technologies in critical applications. The paper details the components of the AIAS platform, explores its operational framework, and discusses future research directions for advancing AI security measures.