How can AI address cyber risks in automated retail systems?

AI can address cyber risks in automated retail systems, like self-checkout and inventory management, by implementing advanced algorithms to detect anomalies in transaction patterns or inventory data that may indicate potential cyber threats. AI can also be used to continuously monitor and analyze system behaviors for any signs of unauthorized access or malicious activities. Machine learning algorithms can help predict potential security breaches based on historical data and patterns, enabling proactive measures to prevent cyber attacks. Additionally, AI can assist in quickly responding to incidents by automatically identifying and containing security breaches, reducing the impact on the system and data.