James McQuiggan

To effectively mitigate the risks associated with AI-based cybersecurity systems, it is crucial to implement a range of risk mitigation strategies, such as developing robust training datasets, multi-layered security architectures, industry-standard practices into accountability and transparency, and continuously monitoring and updating AI models. Additionally, organizations must prioritize the development of human-AI collaboration frameworks that enable seamless integration between human and AI-based cybersecurity systems.