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@laura_garcia shared a post, 1 month ago

Software Developer, RELIANOID

AI-driven cyberthreats are reshaping industrial security faster than many manufacturers expect.

As we approach 2026, attackers are already leveraging AI to automate reconnaissance, social engineering and intrusion workflows—often at machine speed. For manufacturing environments, where IT and OT increasingly converge, this creates a new risk landscape. In our latest article, we explore: - Why A..

Blog Manufacturing industry cyberthreats previsions 2026 RELIANOID

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@viktoriiagolovtseva shared a post, 1 month ago

Your Guide to Cloning in JIRA: How to Clone Issues in Different Ways

While cloning in Jira can be done in just a few clicks, it becomes less straightforward when you have special requirements. What if you need to clone an issue to a different project, clone tasks in bulk, or do this automatically on a schedule? In this article, we explore all these scenarios and provide you with examples and step-by-step instructions.

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@ek121268 shared a link, 1 month ago

VP of Product Marketing, http://checkmarx.com

Securing the Museum of Software in an AI Coding Tsunami

In Securing the Museum of Software in an AI Coding Tsunami, Eran Kinsbruner argues that software now consists of legacy, modern, and rapidly AI-generated code, creating unprecedented complexity and risk. Traditional AppSec can’t keep up with machine-speed development. He calls for a unified, developer-first, agentic AppSec platform that embeds security into coding workflows to prevent, fix, and secure all code eras before vulnerabilities reach repositories.

GPT (Generative Pre-trained Transformer) is a deep learning model developed by OpenAI that has been pre-trained on massive amounts of text data using unsupervised learning techniques. GPT is designed to generate human-like text in response to prompts, and it is capable of performing a variety of natural language processing tasks, including language translation, summarization, and question-answering. The model is based on the transformer architecture, which allows it to handle long-range dependencies and generate coherent, fluent text. GPT has been used in a wide range of applications, including chatbots, language translation, and content generation.

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.

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