Network security company zvelo Monday unveiled an IoT security offering that uses artificial intelligence to automate the way enterprises discover and profile IoT devices on the network – and detect ones that are compromised.
zvelo’ AI & Machine Learning is developed using various methodologies, technologies, and systems including Human-supervised Machine Learning (HSML), Crowdsourced Network of Endpoints, Natural Language Processing & Machine Translation, Static, Behavioral, and Heuristic Analysis for Malicious Detection
We’re pleased to announce this week that zvelo has signed a multi-million dollar, multi-year AI as a Service contract. The AIaaS platform will implement custom AI solutions that utilize and leverage zveloDP’s extensive datasets, as well as zvelo’s Datafication services, to generate new and innovative services and datasets which complement those already offered by zvelo.
zvelo, the leading provider of website categorization, device profiling, and malicious detection data, today announced the signing of a multi-year data licensing agreement with a leading Advanced Persistent Threat (APT) provider.Details
Building a Data as a Service Platform for AI – Q&A with a zvelo Engineer With the recent release of zveloDP™, zvelo’s Data as a Service platform, we thought it was an excellent opportunity to ask some questions about the platform and get some insight into the technology behind the curtain. Q: First things first,…
You’re probably just as concerned about the rise of online fraud, data breaches, hacks and stollen accounts as the rest of the world is lately.
The URL checker found on the zvelo.com homepage, previously known as the “Test-a-site” tool, serves to demo various contextual categorizations about URLs that can be derived by licensing zvelo contextual categorization and malicious website detection services. When queried, the URL checker yields a sample of data sets stored within the zvelo URL database, via…