7 Data Loss Prevention Best Practices (Expert Explains) | PurpleSec

On average it takes organizations 191 days to identify data breaches. If an organization lacks diligence in protecting the sensitive data it owns or is entrusted with, they are at risk of exposing sensitive data to those who are not authorized to observe or possess it. The strategy often used to counter and reduce the risk of data loss is referred to as Data Loss Prevention (DLP).

Video Chapters
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00:00 - Introduction
00:47 - What Is Data Loss Prevention?
01:26 - Understanding Sensitive Data
02:36 - Average Cost Of A Data Breach
04:22 - How Does A DLP System Work?
10:23 - What Are The Top DLP Best Practices?
13:41 - When Do You Need A DLP Strategy?
17:12 - Conclusion

About The Author
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Michael Swanagan, CISSP, CISA, CISM
https://purplesec.us/cyber-security-e...

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https://purplesec.us/cyber-security/

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What Is Data Loss Prevention (DLP)?

Data Loss Prevention is defined as a strategy that detects potential data breaches or data ex-filtration transmissions and prevents them by monitoring, detecting and blocking sensitive data while in use (endpoint actions), in-motion (network traffic), and at rest (data storage).

Data Loss Prevention is also synonymous with the term Data Leakage Prevention. These terms are often used interchangeably, however, Data Loss Prevention is the common term used by DLP solution providers today.

Understanding Sensitive Data

Sensitive data is information that must be protected against unauthorized access to safeguard the privacy or security of an individual or organization. It can exist within entries on a spreadsheet containing employee names and Social Security numbers.

Sensitive data may be the contents of a document describing the secret formula for a brand of soda, or it could be a database that contains the full names, addresses, and driver license numbers for a state’s DMV.

One of the core functions of a DLP strategy and solution is to prevent exposing sensitive data to unauthorized parties.

Organizations today are faced with the challenge of selecting the best security solutions.

This includes implementing Security Information and Event Management (SIEM) and Intrusion Detection or Prevention Systems (IDS / IPS) to protect their corporate data.

This is because the unintentional leakage or loss of sensitive data due to a malicious actor, an inside job, or an unknowing employee, can lead to significant financial loss and reputational damage to any organization.

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