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You are working with a client whose platform is facing recurring data security issues. They want an ML driven system that can detect risky access patterns, prioritize incidents, and reduce exposure of sensitive data across their applications and data pipelines.
Given a scenario where a client is facing data security issues, how would you propose addressing them?
