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@laura_garcia shared a post, 1ย month ago
Software Developer, RELIANOID

๐—–๐—ฉ๐—˜-๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ-๐Ÿฎ๐Ÿฏ๐Ÿญ๐Ÿญ๐Ÿฎ: ๐—ก๐—ฉ๐— ๐—ฒ/๐—ง๐—–๐—ฃ ๐—ž๐—ฒ๐—ฟ๐—ป๐—ฒ๐—น ๐——๐—ผ๐—ฆ ๐—ฉ๐—ฒ๐—ฐ๐˜๐—ผ๐—ฟ โ€“ ๐—ค๐˜‚๐—ถ๐—ฐ๐—ธ ๐—œ๐—ป๐˜€๐—ถ๐—ด๐—ต๐˜

๐Ÿ” ๐—–๐—ฉ๐—˜-๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ-๐Ÿฎ๐Ÿฏ๐Ÿญ๐Ÿญ๐Ÿฎ: ๐—ก๐—ฉ๐— ๐—ฒ/๐—ง๐—–๐—ฃ ๐—ž๐—ฒ๐—ฟ๐—ป๐—ฒ๐—น ๐——๐—ผ๐—ฆ ๐—ฉ๐—ฒ๐—ฐ๐˜๐—ผ๐—ฟ โ€“ ๐—ค๐˜‚๐—ถ๐—ฐ๐—ธ ๐—œ๐—ป๐˜€๐—ถ๐—ด๐—ต๐˜ A new Linux kernel vulnerability (CVE-2026-23112) affects the NVMe/TCP target (nvmet-tcp), exposing systems to potential kernel crashes and Denial of Service (DoS) conditions. โš™๏ธ ๐—ช๐—ต๐—ฎ๐˜โ€™๐˜€ ๐—ต๐—ฎ๐—ฝ๐—ฝ๐—ฒ๐—ป๐—ถ๐—ป๐—ด? Improper validation in nvmet_tcp_build_pdu..

Knowledge base Troubleshooting - CVE-2026-23112 - relianoid
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@viktoriiagolovtseva shared a post, 1ย month ago

How to Launch Paid Ads: a Quick Guide With a Hands-on Checklist

Behind every high-performing paid ad campaign is a simple truth: success comes from preparation and optimization, not blind luck. With all the variety of ad formats and campaign types, the process can be broken down into 5 crucial stages. In this guide, we provide you with the most essential practic..

Zrzut ekranu 2026-03-25 133738
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@viktoriiagolovtseva shared a post, 1ย month ago

Post-mortem Incident Review

Why Structured Post-mortem Reviews Matter Security incidents, outages, and failures are inevitable, especially in fast-moving agile environments. But what separates high-performing teams from the rest is how they learn from them. A well-run incident postmortem (or post-mortem meeting) focuses on unc..

Zrzut ekranu 2026-03-23 190511
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@kala shared an update, 1ย month ago
FAUN.dev()

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

OpenClaw

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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@laura_garcia shared a post, 1ย month 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 securityโ€”from continuously monitoring digital infrastructures ..

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@viktoriiagolovtseva shared a post, 1ย month 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..

Zrzut ekranu 2026-03-23 180645
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@laura_garcia shared a post, 1ย month ago
Software Developer, RELIANOID

๐Ÿšจ ๐—ก๐—œ๐—ฆ๐Ÿฎ ๐—ถ๐˜€ ๐—ฐ๐—ต๐—ฎ๐—ป๐—ด๐—ถ๐—ป๐—ด ๐˜๐—ต๐—ฒ ๐—ฐ๐˜†๐—ฏ๐—ฒ๐—ฟ๐˜€๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ถ๐˜๐˜† ๐—ด๐—ฎ๐—บ๐—ฒ ๐—ถ๐—ป ๐—˜๐˜‚๐—ฟ๐—ผ๐—ฝ๐—ฒ

Itโ€™s no longer just about protection โ€” itโ€™s about ๐—ฎ๐—ฐ๐—ฐ๐—ผ๐˜‚๐—ป๐˜๐—ฎ๐—ฏ๐—ถ๐—น๐—ถ๐˜๐˜†, ๐—ฐ๐—ผ๐—บ๐—ฝ๐—น๐—ถ๐—ฎ๐—ป๐—ฐ๐—ฒ, ๐—ฎ๐—ป๐—ฑ ๐—ฏ๐˜‚๐˜€๐—ถ๐—ป๐—ฒ๐˜€๐˜€ ๐—ฟ๐—ฒ๐˜€๐—ถ๐—น๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ. โš ๏ธ Fines up to โ‚ฌ10M ๐Ÿ” Supplier & partner scrutiny ๐Ÿ›ก๏ธ Mandatory risk management The question is: ๐—ฎ๐—ฟ๐—ฒ ๐˜†๐—ผ๐˜‚ ๐—ฟ๐—ฒ๐—ฎ๐—ฑ๐˜†? ๐Ÿ“– Read our latest blog to understand the impact and how to prepare: NIS2 Directive and..

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@mashka shared a link, 1ย month ago
Paid Acquisition and Growth Marketing, xygeni

You donโ€™t have a vulnerability problem. You have a prioritization problem.

Most teams today donโ€™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: whatโ€™s actually exploitable, whatโ€™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 youโ€™re dealing with alert fatigue or slow remediation cycles, this checklist is a practical starting point โ†’ https://go.xygeni.io/ai-driven-remediation-risk-prioritization-checklist

Ai-Driven Checklist
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@varbear shared a link, 1ย month ago
FAUN.dev()

Cracking the Python Monorepo

Outlines a Python monorepo setup that pairsuvworkspaces withDaggerandBuildKitcaching. Builds container stages programmatically. Keeps things cache-friendly and predictable. Parsespyproject.tomland extracts the workspace graph. Copies required local packages into intermediate stages. Installs them in.. read more ย 

INTELLECT-3 is a frontier-class 100B+ Mixture-of-Experts language model developed by Prime Intellect and trained end-to-end using their large-scale asynchronous RL framework, PRIME-RL. Built on the GLM-4.5-Air base model, INTELLECT-3 combines supervised fine-tuning with long-horizon reinforcement learning across hundreds of verifier-backed environments spanning math, code, science, logic, and agentic tasks.

The model was trained on a high-performance cluster of 512 NVIDIA H200 GPUs across 64 nodes, supported by Prime Intellectโ€™s Sandboxes execution engine, deterministic compute orchestration, and Lustre-backed distributed storage. The result is a model that surpasses many larger systems in reasoning benchmarks while remaining fully open-source.

Prime Intellect released not only the model weights but also the full training recipe: PRIME-RL, Verifiers, the Environments Hub, datasets, and evaluation suites. INTELLECT-3 is positioned as a foundation for organizations seeking to post-train or customize their own frontier-grade models without relying on proprietary AI labs.