Abstract: A method including receiving a request to connect to a single sign-on site, a non-single sign-on site, a system, a mainframe, or to use a mainframe or user device application; determining, by a toolbar of a user device, whether a user is authorized to connect to, initiate, or use the single sign-on site, the non-single sign-on site, the system, the mainframe, the mainframe or user device application; selecting, by the toolbar, one or more user credentials to allow the user to connect to, initiate, or use the single sign-on site, the non-single sign-on site, the system, the mainframe, the mainframe or the user device application when it is determined that the user is authorized; and signing-on, by the toolbar, to the single sign-on site, the non-single sign-on site, the system, the mainframe, the mainframe or user device application based on the one or more user credentials.

Abstract: An approach is provided for de-personalizing data. Content from a data source is retrieved in response to a request by a user. A rule for masking data (e.g., web data) is determined, wherein the rule is specified in a policy associated with the user. A search, within the content, for data that satisfy the rule is performed. The data that satisfy the rule is masked. The content is then modified with the masked data for delivery to the user.

Abstract: A method including receiving an access request to a provisioning system; determining whether to grant access based on receipt of one or more user credentials; determining a level of access to the provisioning system based on user role information, when the one or more user credentials are valid; receiving configuration information by the provisioning system that permits a user to configure an automated sign-on system for single sign-on sites, non-single sign-on sites, mainframe sessions and applications, systems, and user device applications; and configuring the automated sign-on system based on the received configuration information.

Abstract: A method including receiving a request to connect to a single sign-on site, a non-single sign-on site, a system, a mainframe, or to use a mainframe or user device application; determining, by a toolbar of a user device, whether a user is authorized to connect to, initiate, or use the single sign-on site, the non-single sign-on site, the system, the mainframe, the mainframe or user device application; selecting, by the toolbar, one or more user credentials to allow the user to connect to, initiate, or use the single sign-on site, the non-single sign-on site, the system, the mainframe, the mainframe or the user device application when it is determined that the user is authorized; and signing-on, by the toolbar, to the single sign-on site, the non-single sign-on site, the system, the mainframe, the mainframe or user device application based on the one or more user credentials.

Abstract: An approach is provided for masking data. A determination is made whether an action initiated by an authenticated user corresponds to one of a plurality of policies stored in a policy store, wherein the policies relate to whether data to be retrieved from a data source is to be masked. A new policy is generated if no match is found in the policy store. Information associated with the new policy is received, wherein the information is input by the user. The new policy is stored in the policy store.

Abstract: An approach is provided for de-personalizing data. A request is received from an application for retrieval of data. An end user associated with the request is authenticated. A determination is made whether to mask the data based on the request and the authentication. In response to the determination, a masking algorithm is selected to apply to the data and to output mask data.

Abstract: An approach is provided for masking data. A determination is made whether an action initiated by an authenticated user corresponds to one of a plurality of policies stored in a policy store, wherein the policies relate to whether data to be retrieved from a data source is to be masked. A new policy is generated if no match is found in the policy store. Information associated with the new policy is received, wherein the information is input by the user. The new policy is stored in the policy store.

Abstract: An approach is provided for de-personalizing data. Content from a data source is retrieved in response to a request by a user. A rule for masking data (e.g., web data) is determined, wherein the rule is specified in a profile associated with the user. A search, within the content, for data that satisfy the rule is performed. The data that satisfy the rule is masked. The content is then modified with the masked data for delivery to the user.

Abstract: An approach is provided for de-personalizing data. A request is received from an application for retrieval of data. An end user associated with the request is authenticated. A determination is made whether to mask the data based on the request and the authentication. In response to the determination, a masking algorithm is selected to apply to the data and to output mask data.