Neues bei ADVISORI


23. September 2019 von Advisori

The goal of this blog series is to teach an agent how to play the chrome browser game "Dino Run". In this first article, we will create an interface between the agent and the game so that the agent can control the dino. We will write an interface that is based on the gym environment. The gym environment is used by many reinforcement learning agents and can be easily shared and installed. As we want to train our agent on an EC2 instance the game must run on a headless browser. We will solve this by creating a virtual display.

14. August 2019 von Sebastian Rücker

When we don’t use Splunk for ad-hoc analysis, we built reports, dashboards and alerts with it, frequently for security sensitive applications. Often, no automated tests are written to check the integrity of these applications. I think it’s a good idea to change that!

21. Januar 2019 von Boris Friedrich

Im Rahmen der Initiative Cyber Security Academy (CSA) planen wir neben anderen Aktivitäten den Aufbau eines kleinen Hacking Labs.