traffic classification

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By: Intel     Published Date: Dec 13, 2018
In today’s world, advanced vision technologies is shaping the next era of Internet of Things. However, gathering streaming video data is insufficient. It needs to be timely and accessible in near-real time, analyzed, indexed, classified and searchable to inform strategy—while remaining cost-effective. Smart cities and manufacturing are prime examples where complexities and opportunities have been enabled by vision, IoT and AI solutions through automatic meter reading (AMR), image classification and segmentation, automated optical inspection (AOI), defect classification, traffic management solution—just to name a few. Together, ADLINK, Touch Cloud, and Intel provide a turnkey AI engine to assist in data analytics, detection, classification, and prediction for a wide range of use cases across a broad spectrum of sectors. Learn more about how the Touch Cloud AI brings cost savings, operational efficiency and a more reliable, actionable intelligence at the edge with transformative insi
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     Intel
By: Palo Alto Networks     Published Date: Sep 30, 2016
Even with more advanced features and supposed higher throughput than ever before, firewalls are not able to keep up with modern demands or advanced threats. Users are more distributed than ever, and so is data. Threats are changing rapidly, and traditional defense mechanisms that rely on layered security do not work.
Tags : palo alto, enterprise network firewall, custom applications, traffic classification
     Palo Alto Networks
By: AWS     Published Date: Oct 07, 2019
DigiCert implemented Imperva to protect their hybrid environment. They were already using Imperva’s WAF on-premises to defend against Layer 7 attacks, known threats, and zero-day attacks to rapidly identify the threats that required investigation. By expanding their usage of Imperva, DigiCert was able to extend protection to AWS and maintain their security posture both during and after migration. Imperva’s sophisticated threat detection technology draws upon vast experience in the WAF market. As traffic passes through their network, advanced client classification technology (together with crowdsourcing and IP reputation data) automatically analyzes it to identify and block web application attacks. These include SQL injection, cross-site scripting, illegal resource access, comment spam, site scraping, malicious bots, and other top threats. Granular filters and controls reduce false positives and prevent access from unwanted visitors, while IP address shielding hides the web server’s IP
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     AWS
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