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CompTIA Security+ 4.2 ISC2 CISSP 2.1 ISC2 CISSP 2.4
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Keep It or Delete It?

Data is an asset and a liability at the same time. Does this data still earn its keep, or is it only a cost and a risk now?

⚑ Complete this interactive to capture a CTF flag worth 5 points.

About this interactive

The Data Management lesson starts from a simple point: a company keeps data because it is worth something. Data has a primary value, the purpose it was collected for, such as the profile a member fills in so the site can match them with other people. It often has other value too: marketing and analytics, better customer support, and proof of how the business has behaved if there is ever a legal dispute. Data also costs money and carries risk. It has to be stored and backed up, and the backups managed. Large amounts of it slow systems down and get hard to manage. If it is stolen, altered or deleted, the company may have to notify the people it was about, and depending on whose data it is, compliance duties come with it. So data is an asset and a liability at the same time. The lesson's question is which side wins: keep it and protect it, or get rid of it. Data that still serves a purpose is worth protecting, even though a leak would hurt. Data that no longer serves any purpose is only cost and risk, so deleting it is the safer choice. A quick test for each card: is anyone still getting value from this data?

What you'll learn

Aligned to

CompTIA Security+
4.2 Explain the security implications of proper hardware, software, and data asset management.
ISC2 CISSP
2.1 Identify and classify information and assets
2.4 Manage data lifecycle

Key terms

Asset
Any resource of value to an organization, including hardware, software, data, and personnel.
Data Minimization
The practice of collecting and retaining only the sensitive data necessary for legitimate business purposes, reducing exposure and liability.
Data Life Cycle
The stages data passes through from creation and collection, through active use and management, to eventual archiving or destruction.

Topics

Data Management Data Value Interactive Streak Sort

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