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Entrust Identity

Entrust Identity

Entrust

Business免费v26.2.1
App Store
评分

2.4

243 条评分

星级

★★☆☆☆

最近更新

2026年5月14日

发布日期

2010年8月5日

更新内容

v26.2.1

Performance improvements and bug fixes.

应用信息

开发者
Entrust
分类
Business
价格
免费
版本
26.2.1
App ID
384717687

简介

The Entrust Identity mobile application is the new Entrust mobile platform for delivering strong identity credentials to both employee and consumer users. With this version of the application, users will continue to benefit from the authentication and transaction verification capabilities that replace hardware tokens, while adding advanced password reset capabilities for employee use cases. One Application, Multiple Uses The Entrust Identity application allows you to create identities and activate unique one time passcode soft token applications for use with different organizations that use the Entrust Identity IAM platforms for strong authentication. Verify Transactions Protect yourself when initiating any type of online transaction such as account login, financial transactions, etc by receiving confirmation of your transactions right to your mobile application. Confirm the details and enter your secure, one time passcode to complete the transaction. Manage Employee Passwords When password reset and unlock management becomes a burden for an IT department, allowing employees to manage their passwords right from this mobile application improves the experience for everyone. Employees will use the same strong credential they would when managing passwords through web portals to simplify the process – without compromising security. Entrust combines security with usability for millions of customers across the globe. For more information on Entrust and the Entrust Identity mobile applications please see: Information on Entrust: www.entrust.com Information on Entrust Identity Mobile: https://www.entrust.com/resources/identity-and-access-management/support/entrust-identity-app

下载量预测

专业 · 预览

预估总下载量

32K24K49K
保守估计乐观估计

127

低 / 月

169

预估 / 月

253

高 / 月

基于243 条评分
假设评分率0.8%
应用年龄192 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。