Shulou(Shulou.com)06/01 Report--

Mobile apps are fast and efficient, making them gradually shentou to every corner of our lives. Mobile applications have also become an important form of enterprise business bearer, even the only product form of many enterprises, accompanied by various threats faced by Mobile Security.

Mobile applications have become important gongji targets for heike, with various security incidents such as transaction hijacking, information theft, business fraud, malicious virus mumagongji, etc. emerging one after another. At the same time, in the process of mobile application operation, it is also faced with abnormal situations of different degrees, such as the threat of swiping orders for e-commerce applications, plug-in threats for game applications, transaction environment threats for financial applications, positioning fraud for map applications, etc., which will cause direct or indirect losses to enterprises, and the security problems of mobile terminals are becoming increasingly serious.

InfoBeat mobile threat situational awareness platform, relying on the accumulation of mobile security, big data analysis, machine learning and other technologies for many years, adopts the mechanism of pre-awareness, in-process response and post-traceability, and helps users close the threat events that APP may encounter in the production environment through data collection, data analysis, data application and data presentation, so as to enhance the value of mobile products and create a safe operating environment.

The following is a closed-loop mobile application threat event centered on three aspects: pre-awareness, in-process response, and post-event traceability:

Prior perception: It has a variety of data collection methods (such as SDK collection, visual buried point, third-party data expansion, etc.), deeply mines and analyzes the collected data sources (including reserved events, security events, buried point events, calculated events, application lists and user attributes, etc.), and constructs different perception models for business threats in different scenarios (such as swiping, location fraud, framework gongji, malicious applications, simulators, injection gongji, hijacking gongji, etc.).

In-process response: after the model is established, intelligently associate different business scenario models with policies. When preset scenarios are triggered, respond to policy templates in real time (including exiting applications, pop-up prompts, starting antivirus, etc.). The platform also provides a large number of security tools to facilitate administrators to customize policies, such as jumping to specified links, pushing windows, calling third-party tools, etc., to achieve accurate decision-making and avoid security risks in time.

Scenario example: When a user uses a financial APP for transaction, the user is not sure whether the current transaction environment is safe. For example, heikegongji occurs during the transaction process, and the user needs effective means to deal with the current risk.

Post-event traceability: When a threat event occurs, the platform will record the details of the threat event and output global kanban and security kanban to profile and group the threat users to form risk behavior reports and risk behavior portraits. Later, historical risk behavior events can also be retrieved to achieve traceability.

For example: risk behavior profile is when a threat event occurs, the platform will record details and make a profile. In case of virus muma threat event, provide detailed information such as virus application name, virus installation path, virus package name, MD5 of virus apk, etc. to provide data support for avoiding threats of the same type.

InfoBeat Mobile Threat Situational Awareness Platform

Through real-time data collection of mobile applications, collect security information during the use of applications, conduct pre-situational awareness of security events through big data technology, respond in real time during events, and trace traceability afterwards to help enterprise security management personnel master the overall security situation of mobile services.

InfoBeat has served many well-known organizations, such as State Grid, Southern Newspaper, Liaoning Mobile, Baoshang Bank, Everbright Securities, Tianjin Bank, Henan Rural Credit, BYD, etc., to protect the safety of enterprises.

InfoBeat mobile threat situational awareness platform supports two deployment delivery methods, which can be deployed on demand:

On-premises deployment (private cloud platform delivery), data localisation storage, performance can be provided on demand server configuration;(for industry customers)

SaaS (public cloud platform delivery), simple deployment, no need for customers to provide servers, direct integration SDK, open platform accounts, easy to upgrade. (For small and medium customers as well as free customers)

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