Can anyone recommend best practices for deploying/configuring a data loss prevention platform? How do you make sure you're minimizing false positives/negatives, getting accurate detection, etc?

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Director, Strategic Security Initiatives in Software, 10,001+ employees
I would recommend this :
Director of IT in Education, 5,001 - 10,000 employees
I like Microsoft Purview Data Loss Prevention, it works well with Microsoft systems, Networks, emails, etc.
CIO in Finance (non-banking), 1,001 - 5,000 employees
A lot of people will give you a set of tools and processes to ensure DLP effectiveness. A different perspective is to ensure you have you data classification done right and in a way that can be maintained. The more fine grained you can get the less false positives. There are tools that vendors claim that have “AI” for detection but without classification any AI won’t be effective or efficient. There is no AI that I know of that can substantially make a dent in classification of data beyond identification of PII etc. In other words there are precursors to DLP beyond configuration that need to happen to make your detection effective.
Director of IT in Manufacturing, 5,001 - 10,000 employees
I recommend to you can use data loss prevention from F5, its cheaper & good security

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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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