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For those of you that have been in my skills or courses before, you know that I

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like to hone in on data security and overall cyber security.

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And that's because sometimes I do nefarious things on that side of the house in

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terms of pin testing, all in the name of security. Am I right?

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But here in the cloud infrastructure and especially in software as a service

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where we have limited access inside of the main components of the services

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being provided,

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security is one of the most highlighted concerns that we have as an
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security is one of the most highlighted concerns that we have as an

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administrator, especially in Cisco Cloud environment.

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One of the things you may hear me reiterate a good bit inside of the

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cybersecurity courses here at CWT Nogins is data classification.

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And because this allows us to be able to highlight the importance of protecting

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sensitive data such as personally identifiable information or even financial

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records.

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We want to be able to classify data based on its sensitivity and apply the

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appropriate security controls when needed or necessary.
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And that's especially important inside of software as a service in our cloud,

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Cisco Cloud environment.

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And that's because remember it's the clients responsibility to maintain

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oversight of data and the people, but it's the provider's responsibility to

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maintain application and beyond.

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So it's really important for us to make sure that the information going in and

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out of that actual infrastructure that's being handled by the provider is

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maintained and properly classified within not only organizational specs for
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maintained and properly classified within not only organizational specs for

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security classifications, but also any kind of jurisdiction requirements as we

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've mentioned before, HIPAA, GDR, GDPR, and whatever the like.

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Now being that we are using that cloud environment, it goes without saying that

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the infrastructure in the applications and even the hardware that we're

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utilizing through our web access is not on site at our current location within

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the organization.

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That means that any data going in and out of our processing for that cloud
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That means that any data going in and out of our processing for that cloud

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environment is going to be on the internet or whatever public network that we

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used to be able to get there.

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And that's why it's also important to make sure that that security layer is

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around that data going back and forth.

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Now even though it's the provider's responsibility to maintain oversight of the

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application and beyond, it's as we mentioned inside identity access management

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earlier in the skill.

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It's our responsibility as an organization to make sure that let's say we have
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It's our responsibility as an organization to make sure that let's say we have

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data encryption either through IP, SAC, TLS, going back and forth, making sure

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that we're getting rid of all those plain text lines of communication going

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back and forth.

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And we want to make sure that we take advantage of every security measure

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possible to us within our organization and that cloud infrastructure

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environment.

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Now we would be using things like the Cisco Secure Network Analytics to be able
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Now we would be using things like the Cisco Secure Network Analytics to be able

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to track that information going back and forth and also keep an alarm going up

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anytime that there's a plain text piece of information leaving the organization

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or coming back inside.

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We could even set up rules to where we can screen for that PIA, PIA, personally

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identifiable information or let's say that we have a piece of information that

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is classified secret or top secret for those inside the DOD realm.

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See that's exactly what we do or what I used to do inside a DOD. I'm recently
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See that's exactly what we do or what I used to do inside a DOD. I'm recently

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retired. Remember that.

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But whenever we would process information and we wanted to make sure that it

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had the proper classifications on it, not only would we classify it based on

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what network it was actually generated on, but the type of information that was

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put into it.

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Now a lot of this has to do with the actual policy of data classification

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within the organization, but it also helps prevent common threats to the people
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within the organization, but it also helps prevent common threats to the people

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in data inside of our cloud.

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Now a couple of those common threats may include like fishing and social

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engineering because if everyday folks are outside of our organization are able

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to get into our information and read what's going on.

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As you are able to get let's say one piece of information here, another piece

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of information there, another piece of information up there and piece it all

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together.

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You could potentially piece something together that could damage the our

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organization if it's you put in wrong hands.
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organization if it's you put in wrong hands.

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Social engineering does just that even if they're using stuff like open source

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intelligence or something like fishing sending emails out to the organization.

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But where does the threat get those emails from? Well, that's where we have to

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figure out as the customer and the administrator within our organization, what

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kind of information that we want to protect going in and out.

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Because we can have all the scripts and all the different measures of adapt

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ability within this software as a service.
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ability within this software as a service.

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But at the end of it, it still comes down on us security administrators to make

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sure that we're maintaining everything within our policy and whatever else is

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required of us based on the type of information being handled.

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Now like it or not, one of the biggest threats that's always going to be out

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there as a potential is going to be an insider threat.

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So as a security administrator within the cloud infrastructure, we always have

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to maintain oversight as to making sure that insiders are doing everything that
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to maintain oversight as to making sure that insiders are doing everything that

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they're supposed to be doing and not doing things that they're not supposed to

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be doing.

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So making sure that we explain that internal users must have legitimate access

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to the data and the people within the organization.

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But any kind of accident, whether it be on purpose or intentional, could cause

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a reprimal damage to the organization.

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And you wouldn't want your own personal information getting out there or your

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businesses information getting out there, especially if you had something
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businesses information getting out there, especially if you had something

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proprietary.

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Regardless of the cloud model that we are utilizing, whether it be software as

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a service or some of the others will cover later on.

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A lot of everything that we've been discussing inside of this particular area

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of our skill falls within data governance.

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And it's the tools and the responsibilities combined together that allow us to

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be able to govern our data properly within the organization.
