Nowadays, almost every website requires some form of authentication to access its features and content. With the number of websites and services rising, a centralized login system has become a necessity. Single sign-on (SSO) is an authentication process that allows a user to access multiple applications with one set of login credentials. PingIdentity’s PingFederate allows the SSO for the enterprises which have the multiple applications and API’s to protect.
PingFederate is the leading enterprise federation server for user authentication and standards-based single sign-on (SSO) for employee, partner and customer identity types.
Usually this kind of refresh is performed through UI from the debug pages in IdentityIQ. Following are the steps to follow for refreshing log4j configurations through UI.
log4j configurations whenever there are any changes have to refreshed across all the servers present in the environment. However, when a load balancer is configured, we might not have control to access individual servers through UI, thus making the refresh of log4j configurations through UI on each server.
Possible solutions:
There are 3 possible solutions for this problem.
Temporarily re-directing load-balancer traffic to only one server and refresh the configurations on the same through debug pages. This process has to be repeated across all the servers.
Identity attributes in SailPoint IdentityIQ are central to any implementation. They usually comprise a lot of information useful for a user’s functioning in the enterprise.
Purpose: The blog speaks about a rare way of configuring the identity attributes in SailPoint which would lead to a few challenges.
Requirements Context: By nature, a few identity attributes need to point to another identity. 2 such use-cases would be:
Any identity attribute in IdentityIQ can be configured as either searchable or non-searchable attribute. A searchable attribute has a dedicated database column for itself. In case of attributes like manager, we would ideally need a lot of filtering capability on the attributes and this makes a perfect case for being searchable attribute. A few use-cases where having manager as searchable attributes would help are.
However, usage of assistant attribute is not quite similar. Not a lot of searching/filtering would happen in a typical IAM implementation based on assistant attribute. It would be preferable to have this attribute as a non-searchable attribute.
Implementation:
As part of the implementation, an extended attribute is configured in the Identity Configuration for assistant attribute as follows.
Assistant identity attribute configuration
The following configuration details are to be observed.
Challenge faced: A specific challenge is faced when this type of configuration is used with identity attributes.
Scenario: There will be certain situations where the assistant attribute in Active Directory points to itself. For example, John.Doe’s assistant would be John.Doe himself. This configuration has lead to failure of a lot of operations/tasks due to a SailPoint behavior described below.
Possible Solutions: Above problem can be solved in 2 ways.
Adding checks to avoid self-references. Logic to populate such type of identity attribute shall include a check to avoid self-referencing of non-searchable identity attributes.
Using Searchable attributes. Avoiding the use of non-searchable attributes for identity attributes of type identity.
Rule is an XML object with fully programmable java-based implementation hooks (Bean Shell). Rules can capture pieces of business-logic.SailPointIdentityIQ is very much Rule-Driven, and thus very flexible.
Rules can reference other Rules! Helpful with creating Rule Libraries.
Rule Libraries are collections of methods that have been grouped together and stored in IdentityIQ as a Rule object. They contain a set of related but unconnected methods that can be invoked directly by workflow steps or other rules.
Batch Requests enable you to generate specific types of access requests for more than one user at a time. The required data is gathered from a prepared comma-delimited file for each request type. The batch files require comma-delimited data that represents the individual requests. In most cases the native identity or identity name can be used to specify the request target.
In this presentation, we will be discussing on batch requests in SailPointIdentityIQ, different methods involved in batch requests, complete explanation on individual types implementation with the Active Directory and AzureBulk Provisioning.
Bulk Provisioning – Batch Request in SailPoint IdentityIQContinue reading →
Secured Socket Layer (SSL) is a protocol which provides the secured way of communication between the client and server with the help of the certificates. When using Apache Tomcat as a server for the deployment of SailPoint, the data that we are dealing with is sensitive in nature. With the help of Self Sign certificates, we can secure Sailpoint IdentityIQ which is hosted on tomcat server without the need of certificate authority (CA).
Refresh Identity cube task is one of the most popular predefined tasks in SailPointIdentityIQ. Refresh Identity cube task performs a full refresh of the identity cubes and aggregates the data from external sources for all identities. The task has the features to specify which identities are needed to be refresh, by the use of Filters. Filters are used in many places throughout IdentityIQ to allow actions to be applied to a subset of system objects. Filters in Refresh Identity cube task make use of filter strings, which will refresh all the identities which meet the filter constraint mentioned in the task.
The following presentation discusses in detail about the different filters used in the Refresh Identity cube task.
The following is the demonstration of the usage of different filters on Refresh identity cube task.
As data is generated rapidly day to day, there is a need to organize it to generate useful results from data. It is essential to properly format and prepare the data before loading it into data storage systems for analysis. Otherwise bad data leads to inaccurate analysis that could have a great loss for the organization. In order to prevent these problems, the data needs to be processed and transformed into quality data, which generates a better analysis.
This can be achieved by using ETL process which Extracts, Transforms, and Loads the data. Each of these phases can include functionalities to process the data as required. There are various tools that perform ETL process. Sailpoint is flagship identity management tool, which uses CloverETL(CloverDX) to perform data processing.
The following presentation sheds light on ETL process and working of CloverETL in Sailpoint.
A large number of applications on SailPointIdentityIQ rely on using service accounts to communicate with the application targets. These accounts have the authorizations to perform identity management tasks and should be treated as privileged accounts. When a privileged account management solution like CyberArk or BeyondTrust is used in the organisation, the credentials of the privileged account would be stored on the PAM solution and retrieved by IdentityIQ whenever required. The feature of credential cycling introduced in IdentityIQ 7.3 allows this to be configured with ease.
The following presentation discusses the need for credential cycling and how it works:
The following demonstration illustrates a use case where credential cycling is configured with the CyberArk PAM solution:
The next video demonstrates credential cycling when configured with the Thycotic Secret Server PAM solution:
CyberArk is the global leader in PAM solutions with a holistic approach towards privileged account management. It covers not only traditional PAM problems but also extends its capabilities with various features like managing hard-coded application credentials, analytics, on-demand privileges escalation and managing end-user devices like desktops.
In the following presentation, we provide a detailed overview of CyberArk integration with SailPoint by integrating Cyberark as a SailPoint’s application.
In the following video, we provide a detailed demo of this integration.
