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Security teams have an opportunity to transform their defensive strategies as attack tactics evolve. While generative AI (GenAI) is a significant economic driver, it introduces new risks around data security, compliance, and potential data leaks, especially as models handle sensitive information. For application security, the rise of multi-cloud environments and containerized architectures adds layers of complexity, with AI-based tools now both a risk and a resource. Together, these upcoming sessions underscore the importance of evolving security strategies to manage the unique risks AI brings to cybersecurity.
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