Cloud Data Security Strategy

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Time
12 hours 57 minutes
Difficulty
Intermediate
CEU/CPE
13
Video Transcription
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>> Now we're going to talk about
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Cloud data security strategies.
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What are the methods that we can really employ,
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at least at a high level to ensure that
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data in the Cloud stay safe?
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In this lesson, we're going to talk about
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the main security strategies
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for protecting data in the Cloud,
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we also want to relate many of these strategies back to
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other topics related to data security that we've
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talked about already since it's classification,
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roles and responsibilities, and where
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these strategies can be deployed
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within the data life-cycle.
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Also, we want to look at different scenarios and
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think about how some of these strategies can be used.
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There are four main data security strategies
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that we're going to talk about.
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The first, we've seen it many times but encryption.
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Encryption is the use of algorithms to
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render information unable to be
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seen or understood by a party that doesn't have
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the ability to decrypt the information and render
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it back to clear text or its original state.
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Encryption is often deployed in many instances,
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as we'll see later affecting our various data states,
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such as data in transit,
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encryption is used to secure the process of
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transmitting information, data in process,
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encryption can actually be used
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even when data is being processed
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and then most importantly in
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the Cloud context, data in storage,
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ensuring that the data cannot be accessed
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by other parties especially in
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some of our Cloud models that we've gone over,
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where data is being shared or stored on shared hardware.
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Masking. This is a technique and
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actually a whole host of different techniques to make
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render sensitive data in a state that people can't
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infer completely what the sense of information is.
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Masking techniques are applied in
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a lot of test cases of data,
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or sometimes by certain regulations that prevent you from
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seeing the full string
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of digits in a credit card, for example.
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Let's also talk about
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security information and event management.
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This is a critical security feature used to
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monitor events that are happening
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regarding data in your Cloud-based environments.
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You're going to want to set
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an appropriate threshold and really
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be visiting and investigating
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any unusual activity when it comes to
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the transportation or manipulation of
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data in your Cloud-based environments.
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Then lastly, egress monitoring.
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Egress refers to things exiting or leaving.
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Egress monitoring is really done
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through a host of different technology and solutions
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related to what are called data loss
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prevention and digital rights management.
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We'll go into some of those
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technical solutions that are used
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to ensure that you see when any data
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is leaving your environment ensure that it's not being
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exfiltrated by a threat actor and that it
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is supposed to be leaving for one,
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and then it's going to the right place.
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Quiz question. Obscuring the digits of
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a credit card number in an example of
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which data security strategy,
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encryption, egress monitoring, or masking?
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If you said masking, you're correct.
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Remember encryption is used to ensure
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the confidentiality and integrity of data and
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then egress monitoring is used
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to capture when data is leaving
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your cloud environment and to ensure that
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that is intended to happen and
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protect data that when it
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leaves it's appropriately protected.
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In summary, we talked about the
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data security strategies,
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we talked about how these strategies
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can be used together,
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and then also some of the stages in
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the data life-cycle where they really apply,
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as well as the different data states
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that are applicable to these strategies.
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