The process of testing the security of systems is still one of the most important stages in development. With the new complexity, however, classic software testing methods that take all variables into account are reaching their time and economic limits. In addition, it is becoming increasingly apparent that machine learning (ML) algorithms are displacing the previously hand-written software codes, especially for complex and non-linear problems.
Autonomous Reply uses virtual testing methods so that companies can already carry out scenario tests during the training of machine learning models and thus save time.
Autonomous Reply uses virtual testing tools for example for the black box testing of ML models. Scenarios that best represent the use case are derived from the software or system requirements. After this definition of the scenario, a large number of simulation runs can be created through automated variations of the virtual environment and further parameterisation. These simulations are then run in parallel side by side in a cloud infrastructure to automate a large number of simulation iterations in a relatively short time.
Within the Reply Group, Autonomous Reply is the specialised company for the software and system integration of autonomous things. The experts advise companies in the industrial, automotive and new mobility sectors from the sensor to the infrastructure. The portfolio includes holistic solutions across the entire value chain – from strategy definition and advice on application possibilities to design and implementation. The offer includes edge computing, embedded software, cloud services and integration into different eco-systems. State-of-the-art technologies and methods from the fields of deep learning, machine learning and computer vision are used.