Why do you need Internet behavior analysis?

How do you trace internal leaks? How do you track hot internet trends? Are employees slack in work? How do you monitor risky student behaviour online? What is the risk of staff turnover? What is the bandwidth usage status? Some risky behaviors in the
organization are hidden, difficult to
spot and difficult to manage.

Massive online behaviour logs contain unlimited value. In-depth analysis not only perceives risky behaviours on an organizational level but also detects more business value. Users need a comprehensive platform that can simply and efficiently excavate business value.

The Look of Innovation

Sangfor Business Intelligence Platform (BI) is the newest major innovation within Sangfor IAM. It is based on IAM’s massive internet log and conducts in-depth modelling analysis of user behaviour characteristics. It constantly utilizes behavioural awareness applications in different scenarios and continuously uncovers valuable data, helping organizations understand behaviour risk and simplify O&M.

Business Intelligence Platform

Sangfor IAM Data Collection Presentation of Results Data Analysis Graph Calculation,
Machine Learning, MVCC, etc.
APP Analysis &
Underlying Data MapReduce Framework,
Columnar Storage, etc.
Application Rendering App Store + Behavior
Awareness App

Behaviour Analysis for Every Scenario

Each application helps you discover and analyse specific types of risky behaviour.

  • Report Center
  • Bandwidth Analytics
  • Electricity Waste Analytics
  • Internet Access Analytics
  • Event Analytics
  • Leased Line Analytics
  1. Report Center

    Log all users internet access behavior and generate reports about network traffic.
    Comprehensive & intuitive reports
    Application, user bandwidth and quota ranking
    Step-by-Step troubleshooting
    Analyze the bandwidth step-by-step to find to root cause of network issues.
  2. Bandwidth Analytics

    Analyze general internet bandwidth usage and evaluate bandwidth consuming applications.
    Bandwidth quality analysis
    o Analyze the bandwidth quality for a specific period of time and offer suggestions for internet bandwidth expansion.
    Bandwidth consuming application analysis
    Analyze bandwidth consuming application traffic and offer suggestions on control policy setup.
  3. Electricity Waste Analytics

    Analyze PC power waste outside business hours and save money on electricity.
    PC electricity power waste analysis
    Reports on all PCs running outside business hours with user and department ranking display.
  4. Internet Access Analytics

    Display the overall traffic status of the whole network with easy to read reports.
    Improve work productivity
    No need to log into the device to check traffic status with easy-to-read report display.
    Risk assessment at a glance
    Abnormal user behavior and security risks are reported in real time helping to quickly identify any risk to the network.
  5. Event Analytics

    Analysis of user behavior allowing for a full understanding of the user risks as well as network risks.
    Keyword based analysis
    Analyze user behavior based on keywords. Customizable application offers flexible accessibility to the dedicated incidents.
    Proactively address any risk
    When risky behavior is discovered you can proactive speak to the users, avoiding any potential legal risk which may harm your company’s reputation.
  6. Leased Line Analytics

    Analyze the leased line quality and assist in the line expansion decision making.
    Decision making assistance
    Report on the quality of the leased line and more informed decisions on when to expand the leased line bandwidth
    Leased line traffic visualization
    Provide visibility into the tunnel and the user to achieve awareness of the whole network

Intelligent Solutions

Data AnalysisAcquisition
Multi-system integration - data acquisition and data analysis
IAM is responsible for collecting data, and BI is responsible for data analysis and display.
BI and IAM are deeply integrated to realize the intelligent linkage between data analysis and Internet behavior control.
Business Intelligence Applications
Various data analysis methods are imbedded into various applications. Each BI application helps users solve a business problem. In addition, the applications are decoupled from the platform and can be obtained on demand.
Application Store
The application store provides centralized management of all BI applications. Application installation, update and removal are as simple as app management on a mobile phone.

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