Black Box Testing Strategies for Modern Web Applications
Explore effective black box testing strategies for modern web applications. Learn how to validate user workflows, APIs, asynchronous behavior, and security while minimizing flaky tests.
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How to Combine Monkey Testing With Structured Test Automation?
Explore a practical approach to combining monkey testing with structured test automation, including smart test design, observability, and risk-based execution.
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5 Best Email API for Node.js Developers Tested & Compared
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Paid Acquisition and Growth Marketing, xygeni
When AI Became Part of the Attack Surface
AI is now a core execution layer in software delivery. In 2025, attackers exploited automation, trusted pipelines, and AI-generated code instead of vulnerabilities. This report explains why traditional AppSec signals failed and what must change in 2026.
GPT is a family of language models that have been trained on large amounts of text data using a technique called unsupervised learning. The model is pre-trained on a diverse range of text sources, including books, articles, and web pages, which allows it to capture a broad range of language patterns and styles. Once trained, GPT can be fine-tuned on specific tasks, such as language translation or question-answering, by providing it with task-specific data.
One of the key features of GPT is its ability to generate coherent and fluent text that is indistinguishable from human-generated text. This is achieved by training the model to predict the next word in a sentence given the previous words. GPT also uses a technique called attention, which allows it to focus on relevant parts of the input text when generating a response.
GPT has become increasingly popular in recent years, particularly in the field of natural language processing. The model has been used in a wide range of applications, including chatbots, content generation, and language translation. GPT has also been used to create AI-generated stories, poetry, and even music.
