Updates and recent posts about Magika..

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@cristiandeluxe started using tool GNU/Linux , 1 month ago.

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@cristiandeluxe started using tool Docker , 1 month ago.

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@cristiandeluxe started using tool cPanel , 1 month ago.

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@laura_garcia shared a post, 1 month ago

Software Developer, RELIANOID

RELIANOID Live Demo

Behind every successful deployment, there’s a 𝗱𝗲𝗱𝗶𝗰𝗮𝘁𝗲𝗱 𝘁𝗲𝗮𝗺 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝗰𝗹𝗼𝘀𝗲𝗹𝘆 𝘄𝗶𝘁𝗵 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀 to 𝙙𝙚𝙡𝙞𝙫𝙚𝙧 𝙩𝙝𝙚 𝙧𝙞𝙜𝙝𝙩 𝙨𝙤𝙡𝙪𝙩𝙞𝙤𝙣 𝙖𝙩 𝙩𝙝𝙚 𝙧𝙞𝙜𝙝𝙩 𝙩𝙞𝙢𝙚. Today’s 𝗹𝗶𝘃𝗲 𝗱𝗲𝗺𝗼 𝘀𝗲𝘀𝘀𝗶𝗼𝗻 is a great example of how our engineers go beyond technology — providing 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲, 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗴𝘂𝗶𝗱𝗮𝗻𝗰𝗲, and a 𝗳𝘂𝗹𝗹𝘆 𝗽𝗲𝗿𝘀𝗼𝗻𝗮..

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@laura_garcia shared a post, 1 month ago

Software Developer, RELIANOID

𝗖𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗜𝗻𝗰𝗶𝗱𝗲𝗻𝘁𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗦𝗲𝗰𝘁𝗼𝗿

🚨 𝗖𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗜𝗻𝗰𝗶𝗱𝗲𝗻𝘁𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗦𝗲𝗰𝘁𝗼𝗿 🚨 According to recent industry reports, 2025 saw a significant rise in high-severity cyber incidents across critical sectors: 🔹 IT: 23% 🔹 Government: 18% 🔹 Industrial: 18% The industrial and food sectors are becoming increasingly attractive..

high-severity incident per industries graph

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@sanjayaalpha859 started using tool Azure Pipelines , 1 month ago.

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@sanjayaalpha859 started using tool AccessTrade , 1 month ago.

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@laura_garcia shared a post, 1 month ago

Software Developer, RELIANOID

𝗗𝗲𝘃𝗗𝗮𝘆𝘀 • 𝗗𝗲𝘃𝗢𝗽𝘀 𝗣𝗿𝗼 • 𝗖𝘆𝗯𝗲𝗿𝗪𝗶𝘀𝗲𝗖𝗼𝗻 𝗘𝘂𝗿𝗼𝗽𝗲

🚀 𝗗𝗲𝘃𝗗𝗮𝘆𝘀 • 𝗗𝗲𝘃𝗢𝗽𝘀 𝗣𝗿𝗼 • 𝗖𝘆𝗯𝗲𝗿𝗪𝗶𝘀𝗲𝗖𝗼𝗻 𝗘𝘂𝗿𝗼𝗽𝗲 𝘛𝘩𝘳𝘦𝘦 𝘤𝘰𝘯𝘧𝘦𝘳𝘦𝘯𝘤𝘦𝘴. 𝘖𝘯𝘦 𝘦𝘤𝘰𝘴𝘺𝘴𝘵𝘦𝘮. 𝘜𝘯𝘭𝘪𝘮𝘪𝘵𝘦𝘥 𝘪𝘯𝘯𝘰𝘷𝘢𝘵𝘪𝘰𝘯. From May 19–22, 2026, 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 will join the unified experience of 𝗗𝗲𝘃𝗗𝗮𝘆𝘀, 𝗗𝗲𝘃𝗢𝗽𝘀 𝗣𝗿𝗼, and 𝗖𝘆𝗯𝗲𝗿𝗪𝗶𝘀𝗲𝗖𝗼𝗻 𝗘𝘂𝗿𝗼𝗽𝗲 in Vilnius. A unique event bringing together developers, DevOps engineers, cybersecu..

devdays_devops_pro_cyberwisecon_europe_vilnius_2026_relianoid

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@harshilmalvi started using tool Microsoft Power Platform , 1 month ago.

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@harshilmalvi started using tool CloudSuite , 1 month ago.

Magika is an open-source file type identification engine developed by Google that uses machine learning instead of traditional signature-based heuristics. Unlike classic tools such as file, which rely on magic bytes and handcrafted rules, Magika analyzes file content holistically using a trained model to infer the true file type.

It is designed to be both highly accurate and extremely fast, capable of classifying files in milliseconds. Magika excels at detecting edge cases where file extensions are incorrect, intentionally spoofed, or absent altogether. This makes it particularly valuable for security scanning, malware analysis, digital forensics, and large-scale content ingestion pipelines.

Magika supports hundreds of file formats, including programming languages, configuration files, documents, archives, executables, media formats, and data files. It is available as a Python library, a CLI, and integrates cleanly into automated workflows. The project is maintained by Google and released under an open-source license, making it suitable for both enterprise and research use.

Magika is commonly used in scenarios such as:

- Secure file uploads and content validation
- Malware detection and sandboxing pipelines
- Code repository scanning
- Data lake ingestion and classification
- Digital forensics and incident response