Machine learning with a WAF can change the game by automatically modeling real web application behavior.

Tuning applications every time there is a change and remediating false positives drives up administrative overhead for teams that may already be overburdened. Traditional application learning techniques require manual tuning and are prone to false positives. The following advanced WAF capabilities can ensure an optimal user experience: Machine learning Frustrating user experiences include being blocked based on false positives, or navigating excessive CAPTCHA prompts to prove user authentication. Organizations must also protect data from modern threats, all while minimizing any friction to the end user experience.

A WAF is the solution that protects these applications and data. Organizations running business-critical applications require a solution that addresses the Layer 7 perimeter. Yet, as rapid adoption of these technologies increases the speed of business operations, security is sometimes sacrificed, leaving web applications at risk.Īs users increasingly access business applications using unknown bring-your-own-devices (BYOD) on networks that are not controlled with VPN access, organizations must recognize that traditional perimeter security solutions are not adequate for protecting internet-facing applications. Public cloud and software-as-a-Service (SaaS) solutions, for example, can help organizations accelerate businesses when properly used.

Successful DI is more than simply deploying technology-it requires a focus on customer needs and a willingness to embrace rapid change, including rapid adoption and deployment of the technologies that help organizations meet those customer needs. Digital innovation (DI) efforts that are driving increased use of web technologies require a fundamental change in the way that organizations conduct business using digital technology.

What is waf