Disrupting Network Security with a Radical New Approach

The threat landscape has never been more challenging. Cyber-attacks continue to evolve, increasingly using automation to morph and elude detection. The attack surface continues to expand with rapid cloud adoption, increasing numbers of remote users, and a flood of new, hard-to-secure IoT devices. Now more than ever, you need to be sure your data, your customers and your brand are all secure. Join ePlus and Palo Alto Networks for an informative session as we discuss a new approach to network security with machine learning that proactively manages policy changes, protects devices and stops disruptive threats. We will share insights and vision for ML-powered NGFWs and announce the latest innovations to secure your enterprise. We will discuss how to: *Protect against attacks in real time with ML-based inline prevention *Stop malware, phishing and new and known threats with ML technology *Detect and protect IoT devices natively with ML-powered NGFWs All attendees will be offered a Complimentary Best Practices Assessment (BPA) or Security Lifecycle Review (SLR). ePlus will help assess and optimize your configuration, identify risk, and provide recommendations on how to remediate issues or make the most of your current configuration. We are also offering a $50 GrubHub gift card for all appointments scheduled by 7/31.