Commercial DPI takes traffic detection a notch higher via its ability to detect encrypted and obfuscated traffic. This inherently requires advanced methods such as statistical and behavioral analysis and machine learning, technologies which are not available in open source versions. There are also a lot of hidden costs to open-source DPI. These include the cost of training in-house teams and the cost of hiring third-party vendors for further customization. These costs escalate as new features are developed for specific use cases. How is that different in the case of commercial DPI, and what drives its demand? Find the answers in this article.
The editorial staff had no role in this post's creation.