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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…

by M.Salnikov, Wallarm Research Wallarm AI engine is the heart of our security solution. Two key parameters of our AI engine efficiency are how fast neural networks can be train to reflect the updated training sets and how much compute power need to be dedicated to the training on the on-going basis. Many of our machine learning algorithms are written on top of TensorFlow, an open-source dataflow software library originally release by Google. Our average CPU…

Our team is no stranger to various flavors of AI including deep learning (DL). That’s why we’ve immediately noticed when Google came out with AutoML project, designed to make AI build other AIs. Neural networks have recently gained popularity and wide practical applications. However, to get good results with neural networks, it is critical to pick the right network topology, which has always been a difficult manual task. Google’s recent project promises to help solve…

Three generations of attack detection methodology The oldest and well-studied approach is based on signatures and heuristics. From before the internet times, this approach was implemented in most kinds of detection systems from firewalls to anti-viruses. The second genera-tion represents an improvement over the regular expression-based signatures by replacing them with specific parsers or tokenizers. As a third generation solution, we have decided to dive deeper into the examples of attacks that can and can…

By Leonid iaitskyi. — Own work., CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=33766160 What: Hack In The Box GSEC SINGAPORE 2017 When: August 21st — 25th 2017 Where: InterContinental Singapore Why go: REASON #1: Meet Wallam and find out how to extend your security team with AI REASON #2:Go to the talk by Ivan Novikov and find what the fuzzers can do for you Fuzzing is one of the hardest and simplest things in computer security at the same time. It’s really easy…

This is a small Friday project aimed at bringing some fun to those who deal with Neural Networks and got a bit tired of them. The idea is to emulate the impact of alcohol and other substances on a Neural Network. The project outcomes can be interesting. It can also help you measure the stability of your networks which can be quite useful. We create many networks and often times we need to understand how…