DNS encryption ensures the privacy. The mobile industry provides connectivity. Big data and machine learning personalize the whole experience. We need to ensure that the connection is secure, smart, and seamless.
The internet is going through a shift. Artificial intelligence turns the update to an evolution.
of IoT devices will be collecting data by 2020
of Americans go online on a mobile device
spent per day on digital media
Humans cannot effectively analyze the humongous amount of new data. Algorithms can. After the analysis, behavioral patterns are developed, and the algorithms get smarter by the minute. This allows offering quality insights and better experience.
IoT devices and online activities create huge amounts of data.
Machine learning algorithms define the patterns from network metadata.
After comparing known data with the new data, the algorithm offers a prediction.
of consumers rate personalized customer care as influential to their loyalty
of consumers that own smart devices are willing to pay more for add-on security features.
of consumers would switch brands if they were treated like a number rather than an individual.
We leverage artificial intelligence to analyze big data sets. We started using machine learning to improve our cybersecurity tools. Today, machine learning is at the core of our technology.
Don’t compromise user privacy to provide security. Use machine learning algorithms and big data. Avoid decryption or deep packet inspection.
Offer alerts that are driven by intelligent insights. Ensure that even nuanced insults get detected. Keep user privacy intact.
Accurately identify 95% of devices on the network within 24 hours. Give back your users full control of their networks.
Unified protection and control for home broadband, WiFi, and mobile (4G/LTE) networks.
Get ahead of the competition. Use machine learning to enhance your customer experience.