Cut through the fluff and get to the heart of which DevOps trends are worth hitching your wagon (or budget) to in the coming years—and which should be marked with a hazard warning. From containers to chaos engineering, here are the DevOps trends to trash and the ones you’ll want to go fanboy on.”
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…
Today we are happy to announce the closing of $8 Million Series A financing. After talking with many venture firms in California, we decided to partner up with Toba Capital, a firm with an excellent understanding of the enterprise market and previous successful investments in security, such as MobileIron. Toba Capital leads the round with participation from our existing investors Y Combinator, Partech, Gagarin Capital, Runa Capital and others. Post funding, Wallarm welcomes Rajan Aggarwal,…
Wallarm joins a select group of AI startups and prominent technologists from Nvidia, Netflix, Microsoft and Amazon to participate in AI Summit on September 19–20 at San Francisco’s Palace of Fine Arts. AI Summit puts AI to work by delivering real value in the business. In just 3 years this conference has implored AI into business strategy with clear actionable insights to drive businesses and human productivity. And we’re ecstatic to have AI Summit Conference…
We have recently released a new version of Wallarm Node. After your next update window, you will see some new features your DevOps team is certain to like. Firstly, your monitoring and reporting got a lot livelier. Starting with this version in addition to JSON format metrics can be exported in Prometheus compatible format. As before with Collectd, information on the number of requests, number of attacks, number of blocked attacks and a variety of…
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…