How do you see data loss prevention (DLP) evolving in 2023?


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Co-Founder in Services (non-Government), 2 - 10 employees
Document security will take more focus, and SASE and SEE will be the major platform for DLP security controls 
Manager in Services (non-Government), 2 - 10 employees
Data loss prevention (DLP) is likely to evolve significantly in the next few years. By 2023, we can expect to see even more sophisticated and robust DLP solutions on the market. AI and machine learning will be used to create more effective and efficient policies, as well as to detect and prevent data breaches caused by malicious actors. 
Additionally, DLP will likely be integrated more closely with other security solutions, such as intrusion detection systems and endpoint protection. In a nutshell, data classification and tagging will become even more important, as organizations will need to be able to accurately identify sensitive data and protect it.
Director of Information Technology in Services (non-Government), 1,001 - 5,000 employees
I think there will be more emphasis on unstructured data loss. Like brand co-opting video and image reuse etc. So much data is now in no database formats and easily snagged.

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No, but.... - You must have good security and privacy policies in place for ChatGPT (and other GenAI apps). My organization has policies and meaningful ways to enforce those policies and procedures for staff.56%

No - Bans simply don't work. Even without policies, this action hurts innovation and sends the wrong message to staff and the world about our organization.10%

I'm not sure. This action by Maine makes me think. Let me get back to you in a few weeks (or months).3%


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CTO in Software, 201 - 500 employees
Without a doubt - Technical Debt! It's a ball and chain that creates an ever increasing drag on any organization, stifles innovation, and prevents transformation.
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