AI technologies are becoming increasingly integrated into cloud environments to automate the detection of code generated by machine learning models and enhance security, allowing organizations to improve their security posture without heavy manual oversight. Dror Davidoff, co-founder and CEO of Aqua Security, emphasizes the importance of monitoring machine-learning-generated code used by developers to ensure adherence to best practices and organizational policies. Automated processes empowered by AI are crucial in handling the abundance of code being created, highlighting the significance of AI in cloud application security for improved threat detection and mitigation
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