Security News > 2020 > August > How AI can alleviate data lifecycle risks and challenges

Throughout the data lifecycle there are a variety of risks and considerations to manage.

Our research shows that exposure of just a single terabyte of data could cost you $129,324; now think about how many terabytes of data your organization stores today.

With streamlined data retention processes, you can decrease storage costs, reduce security and noncompliance exposure and optimize data processing performance.

AI can multiply these efforts by eliminating manual monitoring processes, providing better visibility into how data is being used and alerts when sensitive content might have been shared externally or with unapproved users.

Recent advances in AI and ML are enabling companies to streamline data governance to find and secure sensitive data at its source, sense and respond to potentially malicious behaviors, maintain compliance and adapt to changing regulatory criteria, and more.

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