Lemuridae Labs works with a wide range of technologies, domains, and capabilities. Whether seeking
to deploy and secure cloud solutions, build new applications, or manage the critical
security of your solution, the team has the experience to make it happen.
See, Scan, Go!, or SSG, is a powerful platform to share and engage with customers, partners, and friends. Building on a foundation of Smart QR Codes, dynamic Quick Links, and NFC Tap Tags, SSG is the place to connect, track, and share with everybody.
SSG allows you to share web sites and business cards, create contact forms and calendars, share a location, or even hold a contest. With the integrated analytics and the multi-code technology, SSG lets you better understand your outreach and engagement, allowing you to optimize your marketing or to fill gaps. Knowledge is power, and with SSG you will connect and understand.
SSG provides a free tier of basic use, or upgrade to professional features and higher capacity depending on your needs. With SSG you can share and engage for free in moments. Give it a try today!
Check it out at:https://seescango.com/
Processing global data is a challenge, enriching it and integrating AI to build whole new interaction models is even moreso. The MeshScope project by Lemuridae Labs is a system built on the global distributed mesh radio network, Meshtastic. This network is an amazing technology that allows users to connect across the world, sharing information, positions, and other details.
MeshScope builds on this foundation to process the real-time stream of data to enrich and visualize it, creating the foundation for future iterations and capabilities. Recently, Lemuridae Labs added AI Chat to allow users to talk directly to the MeshScope application, easily creating new queries and getting new insights in the mesh activity.
Check it out at: https://meshscope.lemuridaelabs.com/
Organizations have emerging threats with embedded and potentially unconfigured AI endpoints in the form of Model Context Protocol (MCP) services. New AI-integrated applications will often support MCP as a means to cross-integrate AI capabilities, empowering other servers, applications, and users alike. Although MCP is powerful, it can provide an unknown or less monitored path to exposing capability and data on a network.
Our HoneyMCP project creates a "Honeypot", which is a system designed to be an appealing target for probing and attack, and this honeypot provides web, API, and of course, AI services. The intent is that the system is an easily probed system that appears vulnerable in order to have attackers engage, alerting administrators to their presence. This project is detailed below, and is available on GitHub and containers available on Docker Hub to test out and deploy.
Check it out at:https://honeymcp.org
Running container-based applications can be tricky, and many developers opt for quick defaults to get an application up and running. Unfortunately often these defaults have real size, performance, and security tradeoffs that are unacceptable in production. With many of our applications being written in Java, we created a secured and verifiable baseline to use for application deployments, ensuring that each new build is on a current and solid baseline.
Our secured containers effort focuses on current Java version requirements, and produces slim and targeted container images, ready to go! To read about the build process or to find links to these containers, re-built daily, check out the references below. To help broaden the ecosystem, these containers target both x86/amd64 and aarch64 (ARM) baselines, making them suitable for many different platforms.
Check it out at:https://www.lemuridaelabs.com/post/secured-java-container-images