Cyberattacks are becoming more advanced and are occurring more often, with the cost of cybercrime expected to reach $15.63 trillion by 2029. Older security methods just can’t keep up with evolving threats, which is where Artificial Intelligence (AI) and Machine Learning (ML) come in.
We continue our series of articles focused on testing systems that incorporate Multi-Factor Authentication (MFA or 2FA) security mechanisms. In our previous article about MFA testing, we explored why companies operating in regulated industries must adopt these mechanisms to strengthen their security.
In an industry where financial transactions, personal data, and live betting are integral, the reliability and security of horse racing apps must be airtight.
This is an introduction to Healenium, an open source tool with proven results to enhance the stability and maintainability of Appium tests. You will learn about its functionality, explore its integration with Appium, and demonstrate its practical application through a live code demo.
In this article, Priya Yesare explains why AI driven software testing is faster, more efficient and more reliable. AI addresses the limitations of traditional test automation by incorporating machine learning, large language models (LLM), natural language processing and predictive analysis to automate complex tasks with improved accuracy.
Momentic, an AI end-to-end testing platform for software developers, has announced today that it has raised a $3.7M seed round from FundersClub, General Catalyst, Y Combinator and AI Grant along with prominent angels Aaron Levie (Box), Kulveer Taggar (Zeus Living), Richard Aberman (WePay), and JJ Fliegelman (WayUp).
When reviewing thousands of lines of code and testing all the different use cases imaginable, it can be challenging to know where to begin or what to prioritize first.
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