Secure recognition of SaaS applications with the most reliable categorized database on the market
Country of origin
Categories
FQDNs
App name
confidence score
IP adress or range of IP addresses
App description
IP geolocation
+ 17
Categories
+ 4 700
Apps SaaS
+ 62 000
FQDNs
+ 44 000
IP adress or range of IP addresses
80 000 records of apps,
FQDNs and IP addresses
SIze of the database file : 5Mo
Delivery method : Json / other formats on request
Secure download
Update frequency : Weekly
Recognition of SaaS apps based on IP address
Quatily researches the associations between IP addresses and apps since in many use cases (routers, investigation, etc.) it is necessary to identify the app solely on the basis of the IP address without having access to the FQDN (fully qualified domain name).
Quatily studies the SaaS apps in depth to understand how they work, their IP assignments and their dynamic growth. This analysis requires constant monitoring backed by a high level of expertise
Our SaaS apps database maintains a historical record of millions of records that can be correlated to provide the most reliable results possible. On the basis of our findings we can see whether IP addresses are used by several different apps or whether they are dedicated to a single application, allowing us to add a confidence score to the association of app to IP address.
The secret behind our SaaS apps classification
Step 1 : we identify every new SaaS app that appears on the market
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We upload client usage information
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We monitor SaaS app directories
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We search for key topics, such as online games, social networks, etc.
Step 2 : Qualification of apps
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We search for information from the apps’ providers
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We identify the FQDNs and IP addresses associated with the provider
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We use APIs where available (Office 365, etc.)
Step 3 : Continuously improve the classification
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We monitor SaaS apps and carry out regular analysis
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We study the associations of IP addresses and apps at a technical level and update our confidence score
Step 3 : Continuously improve the classification
-
We monitor SaaS apps and carry out regular analysis
-
We study the associations of IP addresses and apps at a technical level and update our confidence score
Step 1 : We identify every new SaaS app that appears on the market
-
We upload client usage information
-
We monitor SaaS app directories
-
We search for key topics, such as online games, social networks, etc.
Step 2 : Qualification of apps
-
We search for information from the apps’ providers
-
We identify the FQDNs and IP addresses associated with the provider
-
We use APIs where available (Office 365, etc.)
