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By improving predictive capacities and risk mitigation techniques, cutting-edge technologies such as artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) are changing the dynamics of third-party risk management industry. Proactive management is being made possible by AI and ML, which analyze enormous volumes of data from many sources and find patterns and abnormalities that can point to possible threats.
Companies are collaborating to advance cloud security for third-party risk management by developing integrated solutions. These partnerships focus on enhancing data encryption, access controls, and real-time monitoring capabilities. By pooling expertise and resources, they aim to strengthen defenses against cyber threats and ensure secure data management across distributed networks.
For instance, in May 2024, Queen's CSIT Centre and Rapid7 forged a collaboration in AI security research to foster advancements in cloud security. Leveraging artificial intelligence (AI) and advanced machine learning (ML) methods, this partnership aims to identify risks and detect active threats within cloud environments. Initially, the focus will be on pinpointing potential exposure of sensitive information.