Updates and recent posts about GPT..

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@samplist started using tool Red Hat , 1 day, 12 hours ago.

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@samplist started using tool Claude Code , 1 day, 12 hours ago.

News FAUN.dev() Team

@kala shared an update, 2 days ago

FAUN.dev()

A Meta AI Agent Posted Without Permission. Then Things Got Worse.

#OpenCla... #Securit... #Authori... #Faceboo... #AI assi...

A Meta AI agent posted to an internal forum without authorization, triggering a Sev 1 incident that exposed proprietary code and user data for two hours. The advice it gave was wrong. The engineer followed it anyway. This wasn't a one-off - autonomous agents now account for more than 1 in 8 enterprise AI breaches, and most organizations have no mechanism to stop them from acting beyond their intended scope.

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@mashka posted an event From Code to Runtime: Why SAST + DAST Are Both Essential for Modern AppSec by Xygeni , 2 days, 1 hour ago.

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@vv started using tool Docker , 2 days, 7 hours ago.

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@vv started using tool Amazon ECS , 2 days, 7 hours ago.

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@laura_garcia shared a post, 2 days, 9 hours ago

Software Developer, RELIANOID

Discover why Cloud Security Posture Management (CSPM) is a game-changer for companies in today's digital landscape!

Discover why Cloud Security Posture Management (CSPM) is a game-changer for companies in today's digital landscape! In our latest article, we take you on a narrative journey exploring the vital role CSPM plays in maintaining robust cloud security—from continuously monitoring digital infrastructures ..

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@viktoriiagolovtseva shared a post, 3 days, 5 hours ago

Data Center Migration to Cloud: Step-by-Step Guide

Teams are migrating away fromJira Data Centerdue to its impending end-of-life, and staying put increases risks over time.Atlassian recently announced the end of life for Data Centerand is focusing its investments onJira Cloud, where new features, automation, and improvements to roadmaps and dashboar..

Story

@laura_garcia shared a post, 3 days, 9 hours ago

Software Developer, RELIANOID

🚨 𝗡𝗜𝗦𝟮 𝗶𝘀 𝗰𝗵𝗮𝗻𝗴𝗶𝗻𝗴 𝘁𝗵𝗲 𝗰𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗴𝗮𝗺𝗲 𝗶𝗻 𝗘𝘂𝗿𝗼𝗽𝗲

It’s no longer just about protection — it’s about 𝗮𝗰𝗰𝗼𝘂𝗻𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆, 𝗰𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲, 𝗮𝗻𝗱 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗿𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝗰𝗲. ⚠️ Fines up to €10M 🔍 Supplier & partner scrutiny 🛡️ Mandatory risk management The question is: 𝗮𝗿𝗲 𝘆𝗼𝘂 𝗿𝗲𝗮𝗱𝘆? 📖 Read our latest blog to understand the impact and how to prepare: NIS2 Directive and..

Link Xygeni Team

@mashka shared a link, 3 days, 10 hours ago

Paid Acquisition and Growth Marketing, xygeni

You don’t have a vulnerability problem. You have a prioritization problem.

Most teams today don’t struggle to find vulnerabilities; they struggle to decide what to fix first. With SAST, SCA, secrets, and CI/CD checks all generating signals, the real challenge is prioritization: what’s actually exploitable, what’s reachable, and what can be fixed without breaking things. Instead of relying only on severity, modern teams are shifting toward risk-based remediation, combining exploitability, context, and stability, while reducing noise across tools and automating safe fixes through PRs. If you’re dealing with alert fatigue or slow remediation cycles, this checklist is a practical starting point → https://go.xygeni.io/ai-driven-remediation-risk-prioritization-checklist

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.