AWS Optimizer Targets Unused NAT Gateways for Cost Savings
AWS Compute Optimizer now helps identify unused NAT Gateways to boost cost savings by analyzing traffic activity and route table associations.
Updates and recent posts about Magika..
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@devopslinks shared an update, 3 weeks ago
FAUN.dev()
GitLab Uncovers Massive npm Attack - Developers on High Alert
GitLab's team discovers a large-scale npm supply chain attack with malware that spreads through npm packages, threatening data destruction if disrupted.
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@devopslinks added a new tool GitHub , 3 weeks ago.
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@laura_garcia shared a post, 3 weeks ago
Software Developer, RELIANOID
𝘐𝘯 𝘤𝘢𝘴𝘦 𝘺𝘰𝘶 𝘮𝘪𝘴𝘴𝘦𝘥 𝘪𝘵: Europe’s skies disrupted
Cyberattack on Collins Aerospace’s MUSE platform We shared this analysis a few months ago, but given the relevance of the topic and the growing impact of cyberattacks on critical infrastructure, it’s definitely worth resurfacing. The incident forced major airports like Heathrow, Brussels, and Berlin..
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@kala shared an update, 3 weeks ago
FAUN.dev()
DeepSeekMath-V2 Launches with 685B Parameters - Dominates Math Contests
DeepSeekMath-V2, an AI model with 685 billion parameters, excels in mathematical reasoning and achieves top scores in major competitions, now available open source for research and commercial use.
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@anjali shared a link, 3 weeks ago
Customer Marketing Manager, Last9
9 Monitoring Tools That Deliver AI-Native Anomaly Detection
A technical guide comparing nine observability platforms built to detect anomalies and support modern AI-driven workflows.
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@kala added a new tool DeepSeekMath-V2 , 3 weeks ago.
News FAUN.dev() Team Trending
@kala shared an update, 3 weeks ago
FAUN.dev()
A New Challenger: INTELLECT-3's 100B Parameters Punch Above Their Weight
INTELLECT-3, a 100B+ parameter model, sets new benchmarks in AI, with open-sourced training components to foster research in reinforcement learning.
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@kala added a new tool INTELLECT-3 , 3 weeks ago.
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
