Lightbeam Basics: Discover Sensitive Data in Unstructured Sources
Lightbeam discovers sensitive data in unstructured sources like email, GDrive & SharePoint—stop hidden risks before they spread.
Lightbeam Basics: Discover Sensitive Data in Unstructured Sources
Is unstructured data your biggest blind spot?
In this Lightbeam Basics video, see how discovery makes the invisible visible:
Find sensitive data across emails, Google Drive, SharePoint, and more
Pinpoint risks like PII leaving your organization through attachments or shares
Gain context with clear visibility into risky content and who can access it
Lightbeam helps you uncover hidden risks and protect sensitive data wherever it resides.
Transcript
Like team can track structured and unstructured data.
Let's take a look at unstructured data. On the widget.
We can see that 511,000 objects have been identified.
30,000 of those are at risk.
If we go into the detailed screen, we will see a breakdown
by application or repository where they were found.
These are mostly storage applications like AWS S3,
Google Drive, SharePoint, outlook, Gmail, et cetera.
Here we can see the number of objects in Outlook
and the number that are at risk.
This might be appropriate to look at
because it's an email system, meaning
that data is on the move
and could be leaving the organization.
If we go look at the outlook, we will see a list of emails
that were actually identified as containing some sort
of sensitive attribute.
We open an email. If we open the email,
we can see the attribute names, address, and name,
and where it was found.
This looks like it has an attachment that's a JPEG file.
We click this, we'll go down one more level
and see that the file is an earning state.
Again, we see the right side is the image itself.
The left side is the data that was extracted from that.
We can see also that the sensitive data elements
by default have been redacted for this screen.
We can turn them on to see
and check if that's the data we're looking for.
The redaction is also turned on
and off based on access control
and who has access to see the screen That is unstructured
data in Lightbeam.
Let's take a look at unstructured data. On the widget.
We can see that 511,000 objects have been identified.
30,000 of those are at risk.
If we go into the detailed screen, we will see a breakdown
by application or repository where they were found.
These are mostly storage applications like AWS S3,
Google Drive, SharePoint, outlook, Gmail, et cetera.
Here we can see the number of objects in Outlook
and the number that are at risk.
This might be appropriate to look at
because it's an email system, meaning
that data is on the move
and could be leaving the organization.
If we go look at the outlook, we will see a list of emails
that were actually identified as containing some sort
of sensitive attribute.
We open an email. If we open the email,
we can see the attribute names, address, and name,
and where it was found.
This looks like it has an attachment that's a JPEG file.
We click this, we'll go down one more level
and see that the file is an earning state.
Again, we see the right side is the image itself.
The left side is the data that was extracted from that.
We can see also that the sensitive data elements
by default have been redacted for this screen.
We can turn them on to see
and check if that's the data we're looking for.
The redaction is also turned on
and off based on access control
and who has access to see the screen That is unstructured
data in Lightbeam.
