Warum selbst das beste Tool einen echten Penetrationstest nicht ersetzen kann

Beim Durchführen von Penetrationstests erlebt man immer wieder Überraschungen und findet Fehler, die man sich in seinen kühnsten Träumen nicht vorstellen kann. So auch bei einem eigentlich ganz normalen Penetrationstest für einen Kunden.Zu testen war eine digitale Plattform, die einen Produktpreis sowie einen Rabattfaktor mit vertretungsberechtigten Personen verknüpft, sodass diese Personen dann mit den verknüpften […]
Sebastian Schwegler
Sebastian Schwegler
comment icon 1 03.11.2020

Statische Codeanalyse: Xanitizer und RIPS im Vergleich

SAST, was für static application security testing steht, ist eine Phase im Software Development Lifecycle (SDL). Ziel dieser Phase ist es, frühzeitig Sicherheitslücken in Softwarecode zu erkennen, sodass diese gar nicht erst in nachgelagerte Systeme gelangen. Neben der statischen Analyse wird auch noch die dynamische Analyse praktiziert, diese setzt jedoch ein lauffähiges Programm voraus.SAST ist […]
Sebastian Schwegler
Sebastian Schwegler
comment icon 0 17.06.2020

A peek into Automated Machine Learning

A typical Machine Learning (ML) problem is about prediction such as in Forecasting for data-driven decision making or Credit Risk Analysis Using Machine Learning. If the predicted value is a real number, we use regression. For discrete labels (like TRUE and FALSE or WARM and COLD) we use classification. In order to train a machine […]
Felix Kaus
Felix Kaus
comment icon 0 21.01.2020

Credit Risk Analysis Using Machine Learning

Approving loans without proper scientific evaluation increases the risk of default. This can lead to bankruptcy of lending agencies and consequently the destabilization of the banking system. This is what happened in the 2008 financial crisis which affected the world economy adversely. Three components decide the amount of loss that a firm faces as a […]
Dr. Dibyajyoti Dutta
Dr. Dibyajyoti Dutta
comment icon 0 10.12.2019

Using Word Embeddings for Business Insights

Transforming raw text into applicable business insights for data-driven decision making is not a trivial task. Following the Natural Language Processing (NLP) breakthrough of a Google research team on Word Embeddings, words or even sentences are efficiently represented as vectors (please refer to Mikolov et al., 2013a, and Mikolov et al., 2013b).Given these vectors, unstructured […]
Felix Kaus
Felix Kaus
comment icon 1 30.10.2019

So sorgen Sie für mehr Sicherheit im Software Development Lifecycle

SDLC steht für Software Development Lifecycle (dt. Software-Lebenszyklus). Ein SDLC ist im Wesentlichen eine Reihe von Schritten oder Phasen, die einen Rahmen für die Entwicklung von Software und deren Verwaltung über den gesamten Lebenszyklus bieten. Obwohl es nicht nur eine Technik oder Möglichkeit gibt, Anwendungen und Softwarekomponenten zu entwickeln, gibt es etablierte Methoden, die von [...]
Javan Rasokat
Javan Rasokat
comment icon 0 19.08.2019

Forecasting for data-driven decision making

Accurate forecasts are key components of successful data-driven businesses.We may forecast the need for internal ressources (e.g. call center staffing), key metrics that drive other business decisions (e.g. electricity demand to decide on constructing a new power plant), or customer demand for products we distribute (retail demand forecasting). Time horizons of our forecasts may differ […]
Dr. Georg Walther
Dr. Georg Walther
comment icon 0 04.06.2019

Use statistical visualization to understand the needs of your customers

In order to better understand your data and come up with useful hypotheses, data visualization is a crucial part of every data science project. It is part of a process referred to as exploratory data analysis or EDA. In this blog article we will show how we can generate insights from data manipulation and visualization. […]
Dr. Georg Walther
Dr. Georg Walther
comment icon 1 28.05.2019

Turn your raw sales numbers into deep sales insights and intelligent forecasts

In the last years technologies like data science, artificial intelligence and predictive analytics have become increasingly popular. There are several applications of these technologies which include targeted marketing, churn prediction or sales prediction.The academic field behind these technologies is called “machine learning”. The core idea is that the computer (“machine”) learns autonomously from data and […]
Oliver Weisse
Oliver Weisse
comment icon 0 20.05.2019

Automatically mirror GitLab repos

This guide shows you how to sync your git repository hosted on a Gitlab CE instance to another git repository (doesn't have to be gitlab).
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Daniel Weisser
comment icon 0 23.10.2018

Display the test coverage with GitLab

In the previous guides of this series, we have seen how to set up auto deployment and to auto publish documentation. As last step for a transparent project, we want to show the user the reached test coverage.
Jan Hauer
Jan Hauer
comment icon 0 12.08.2018