Lightbeam Basics: Automating Data Classification for Smarter Protection
Automate data classification with Lightbeam. Categorize sensitive data, apply policies, and strengthen protection with zero manual effort.
Lightbeam Basics: Automating Data Classification for Smarter Protection
Still classifying data by hand?
In this Lightbeam Basics episode, see how automation transforms data security:
Auto-classify sensitive data into clear categories (HR, financial, medical, etc.)
Unlock subclassifications like invoices or earning statements for deeper insights
Enforce policies automatically—from redaction to access-based controls
Lightbeam makes data classification fast, accurate, and effortless.
Transcript
I'm gonna take a look at light beam's Automatic
data classification process.
During the scanning process,
Lightbeam looks at individual documents
and determines what kind of data they contain from that.
They're classified by type,
whether they're financial documents, hr, medical,
identity based, or other.
Lightbeam understands the context to the data
and assigns a classification tag to it.
If we look on the dashboard at the data classification
widget, we can see that 130,000 objects have been scanned
and broken down by different types, financial,
human resource, et cetera.
If we take a deeper dive
and look at the detail screen,
we can see the individual cards
for those types of classifications.
We see under financial
that 42,000 objects have been identified.
That's broken down into earning statements, tax forms,
SEC documents, mortgage documents, and insurance.
These are the ones that have been identified by lightbeam.
If we take a deeper dive
and jump into the financial set detail screen,
we can see the individual objects that have been scanned.
That includes the number of attributes in each, the number
of entities from which it came, the classification level,
sub classification level,
and when it was modified, so you can see of a riot.
Here's an earning statement. It says from Gusto.
It's a JPEG document. We can take a look at that.
On this screen. We now see
that it's broken down in two halves.
On the right is the earning statement image itself.
On the left is the redaction of the sensitive data elements
that were found in the image.
You can see that they're automatically redacted,
which can be turned on
and off depending on who has access to the to this screen.
From this, we can see data classification is a key powerful
tool used to understand the processing of pi.
It's also another amazing feature of the platform.
data classification process.
During the scanning process,
Lightbeam looks at individual documents
and determines what kind of data they contain from that.
They're classified by type,
whether they're financial documents, hr, medical,
identity based, or other.
Lightbeam understands the context to the data
and assigns a classification tag to it.
If we look on the dashboard at the data classification
widget, we can see that 130,000 objects have been scanned
and broken down by different types, financial,
human resource, et cetera.
If we take a deeper dive
and look at the detail screen,
we can see the individual cards
for those types of classifications.
We see under financial
that 42,000 objects have been identified.
That's broken down into earning statements, tax forms,
SEC documents, mortgage documents, and insurance.
These are the ones that have been identified by lightbeam.
If we take a deeper dive
and jump into the financial set detail screen,
we can see the individual objects that have been scanned.
That includes the number of attributes in each, the number
of entities from which it came, the classification level,
sub classification level,
and when it was modified, so you can see of a riot.
Here's an earning statement. It says from Gusto.
It's a JPEG document. We can take a look at that.
On this screen. We now see
that it's broken down in two halves.
On the right is the earning statement image itself.
On the left is the redaction of the sensitive data elements
that were found in the image.
You can see that they're automatically redacted,
which can be turned on
and off depending on who has access to the to this screen.
From this, we can see data classification is a key powerful
tool used to understand the processing of pi.
It's also another amazing feature of the platform.
