Search Results for "java security for linux"
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Showing 4 open source projects for "java security for linux"
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
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Keep company data safe with Chrome EnterpriseMake AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.
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pbboard
PBBoard - Free and Open Source Forum Software
Program PBBoard is interactive Forum management program Dialogic Free classified as free software and open source, is located under the GNU GPL, is written in PHP and based on MySQL database engine And PBBoard now in its third generation version 3.0, this version includes integration between design standard High-level as well as high security, as well as multi-language interface and empowerment Full of multiple databases for planning modulating complete with a lack of effort on servers.... -
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BigBlueButton is an open source web conferencing system for distance education. It provides real-time desktop sharing, presentation, VoIP, webcam and chat.
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VNC for use with the BrowserMob Selenium JavaScript Validator. This tool is made available for users of BrowserMob FREE Website Monitoring and Load Testing. The BrowserMob Local Validation Service can be downloaded from https://browsermob.com/tools.
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Cyn.in helps teams to build collaborative knowledge by sharing & discussing digital content within secure & unified application. It combines the capabilities of wikis, social network, blogs, files, microblogs, discussions into secure enterprise platform.
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Cloud data warehouse to power your data-driven innovationBigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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