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What if your DLP tool is slowing your business down instead of protecting it?
In this episode, Andrew Wilder shares why traditional data loss prevention (DLP) programs have struggled to deliver real value, and what needs to change in an AI-driven world. Drawing from decades of experience leading security programs at global organizations, he breaks down the core challenge most teams still face: relying on humans to classify and manage massive volumes of data simply doesn’t scale.
The conversation explores how AI is reshaping data security, from automatically identifying sensitive data to reducing false positives and improving visibility across the organization. Andrew also explains why security should act as an enabler, not a blocker, and how CISOs can prioritize the right investments while balancing risk and business needs.
If you’re rethinking your approach to data security, AI, or DLP, this episode offers a practical look at what’s working, what isn’t, and where the future is headed.
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By Ward BalcerzakWhat if your DLP tool is slowing your business down instead of protecting it?
In this episode, Andrew Wilder shares why traditional data loss prevention (DLP) programs have struggled to deliver real value, and what needs to change in an AI-driven world. Drawing from decades of experience leading security programs at global organizations, he breaks down the core challenge most teams still face: relying on humans to classify and manage massive volumes of data simply doesn’t scale.
The conversation explores how AI is reshaping data security, from automatically identifying sensitive data to reducing false positives and improving visibility across the organization. Andrew also explains why security should act as an enabler, not a blocker, and how CISOs can prioritize the right investments while balancing risk and business needs.
If you’re rethinking your approach to data security, AI, or DLP, this episode offers a practical look at what’s working, what isn’t, and where the future is headed.
Takeaways:
Quote of the Show:
Links:
Ways to Tune In: