ISAI Cloud 4+

iMobile Mind

Designed for iPad

    • Free

Screenshots

Description

When people install ISAI agent on smart phone, users could download the messages of enterprise notification or some information through ISAI Server. Enterprise are no longer to worry about enterprise data leakage or unauthorized users to intrude into enterprise system. All the messages was delivered from ISAI Server to Smartphone. Moreover, MIS could manger all enterprise confidential messages by the ISAI Server. All users have to pass the approval of ISAI Server when users want to access all the personal messages from ISAI Server.

ISAI Server provides user an interactive, security, and personal mobile information gateway between enterprise back-end server and mobile devices. The backend systems and database of enterprise could transmit data in real time through 3G/GPRS/Wi-Fi Internet connection. Enterprise could expand own messages channels on ISAI Server in the future.

Moreover, ISAI Agent could receive the Web link from ISAI Server. ISAI Server could deliver, and update the web link on iPhone. If users want to access the web link of back-end, the ISAI Agent will check the user identification of iSAS Server in advance.

Future
Integrated Management Interface
ISAI could prohibit that employees forward all important and confidential information to other people in order to protect enterprise data. It is different from the email.

Multiple Validation
ISAI Server could validate the user identification by both of User Account and Machine ID.
Remote Deleting Messages
When users fall their mobile phones, MIS can use ISAI server to remote deleting the mobile messaging data of ISAI Agent on iPhone.

What’s New

Version 5.24.0219

HTTP -> HTTPS

App Privacy

The developer, iMobile Mind, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Not Collected

The developer does not collect any data from this app.

Privacy practices may vary, for example, based on the features you use or your age. Learn More

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