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@samplist started using tool Red Hat , 1 day, 13 hours ago.

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@samplist started using tool Claude Code , 1 day, 13 hours ago.

News FAUN.dev() Team

@kala shared an update, 2 days, 1 hour 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, 8 hours ago.

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@vv started using tool Amazon ECS , 2 days, 8 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, 6 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..

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@laura_garcia shared a post, 3 days, 10 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, 11 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-5.3-Codex is OpenAI’s advanced agentic coding model, designed to go beyond writing code and operate as a general-purpose collaborator on a computer. It builds on GPT-5.2-Codex by combining stronger coding performance with improved reasoning and professional knowledge, while running about 25% faster. The model is optimized for long-running tasks that involve research, tool use, and complex execution, and it performs at the top of industry benchmarks such as SWE-Bench Pro and Terminal-Bench.

Unlike earlier Codex models that focused primarily on code generation and review, GPT-5.3-Codex can reason, plan, and act across the full software lifecycle. It supports activities such as debugging, deploying, monitoring, writing product requirement documents, creating tests, and analyzing metrics. It can also autonomously build and iterate on complex applications and better interpret underspecified prompts, producing more complete and production-ready results by default.

A defining feature of GPT-5.3-Codex is its interactive, agentic workflow. Users can steer the model while it is working, receive progress updates, and adjust direction without losing context, making it feel more like a teammate than a batch automation tool. The model was even used internally to help debug its own training and deployment processes. GPT-5.3-Codex is available through paid ChatGPT plans in the Codex app, CLI, IDE extension, and web, with API access planned for the future.