As you might have already noticed, our dashboard has a “new” flag – it means AppBlocker is now added to the SafeDNS infrastructure.

AppBlocker is a feature that blocks access to various groups of apps. It helps users keep the business infrastructure safe with a more granular filtering & easily block all domains related to certain applications, such as file sharing, system monitoring, VPNs etc. Basically, any apps that might bring any cybersecurity risks upon your business or data theft to your system.

The apps form groups for blockage:

  • ecosystems (Apple, Google, WeChat and more),
  • file sharing services (Dropbox, uTorrent, 4shared and more)
  • messaging apps (Slack, Snapchat, Viber and more),
  • portals (Baidu, Yahoo etc),
  • technology services (GitLab, GitHub),
  • VoIP (RingCentral, Zoom, LogmeIn and more),
  • VPN services (NordVPN, CyberGhost VPN and more),
  • cybersecurity services (Shodan, Zscaler),
  • financial services (Ethermine, Flypool and more),
  • mail services (ProtonMail, Thunderbird, Hushmail and more),
  • remote desktop services (RemotePC, AnyDesk, TeamViewer).

To see the full list of apps to block, check out the Categories tab in the dashboard, and then choose AppBlocker.

The user is free to choose any app or app group to block, as the list is fully customizable.

Try it out and see for yourself!

關於 Version 2

Version 2 Digital 是立足亞洲的增值代理商及IT開發者。公司在網絡安全、雲端、數據保護、終端設備、基礎設施、系統監控、存儲、網絡管理、商業生產力和通信產品等各個領域代理發展各種 IT 產品。
透過公司龐大的網絡、通路、銷售點、分銷商及合作夥伴，Version 2 提供廣被市場讚賞的產品及服務。Version 2 的銷售網絡包括台灣、香港、澳門、中國大陸、新加坡、馬來西亞等各亞太地區，客戶來自各行各業，包括全球 1000 大跨國企業、上市公司、公用事業、醫療、金融、教育機構、政府部門、無數成功的中小企及來自亞洲各城市的消費市場客戶。

About SafeDNS

SafeDNS breathes to make the internet safer for people all over the world with solutions ranging from AI & ML-powered web filtering, cybersecurity to threat intelligence. Moreover, we strive to create the next generation of safer and more affordable web filtering products. Endlessly working to improve our users' online protection, SafeDNS has also launched an innovative system powered by continuous machine learning and user behavior analytics to detect botnets and malicious websites.