A few weeks ago Wallarm has launched a hackathon to create a machine learning / AI model to detect attacks among normal web requests. The competition was run on Kaggle as InClass. In this competition, Kagglers were asked to develop models that identify injections among neutral input vectors using neural networks or other ML techniques. Wallarm has open-sourced one of the TensorFlow-based models solving this problem and made it available to the competitors as a…
I am excited to announce a great addition to our Go-To-Market team. Brooke Motta has joined Wallarm as Vice President…
By Renata Budko, Wallarm Last week I spent a few days in Las Vegas with the great folks at the…
As most people know, merchants, financial institutions and anybody else who is involved in processing credit cards are subject to…
Some of my best friends are ethical hackers. With the holidays approaching, these special people in my life will need…
Today we will explore an exciting method to remotely execute code even if an administrator set disable_functions in the PHP…
If you have not registered yet for the main Kubernetes event in North America which will start on December 10th…
November was a scary month in California. After four years of drought, the forests and towns in the northern part…
Envoy, the new darling of the DevOps community, performs the role of a service and edge proxy. With advanced features…
By @aLLy , Wallarm Research Hello guys, time to talk details about Wallarm FAST (Framework for Application Security Testing). It’s a…
A key element of any security solution, whether its a WAF, NGWAF, RASP or even a SIEM or a classic…
