--- title: "Are you sure you're secure?" newsletter: "MLOps Community" date: 2024-09-05 source: https://aaif.live/newsletters/mlopscommunity/2024-09-05-are-you-sure-you-re-secure --- # Are you sure you're secure? *Plus, visualize your success, get to grips with GraphRAG, a special offer, and hidden gems.* *MLOps Community — Agentic AI Foundation, 2024-09-05* https://www.windowscentral.com/software-apps/microsoft-apple-and-nvidia-will-reportedly-bail-out-openai-from-the-shackles-of-bankruptcy With talk about a possible OpenAI bailout [https://www.windowscentral.com/software-apps/microsoft-apple-and-nvidia-will-reportedly-bail-out-openai-from-the-shackles-of-bankruptcy], it's good to check in on the state of things—you might want to check out JFrog and Qwak’s report on AI and LLMs linked below. ## MLSecOps is Fundamental to Robust AISPM // Sean Morgan // MLOps Podcast #257 A security tip I sometimes use: double-bluff hackers by using 'Password123'. Thankfully, I’m not the one giving security advice in this episode. Instead, the focus is on ML SecOps and the challenges in an industry where security is often overlooked in favor of speed. Sean covers vulnerabilities like those in Ray and MLflow, emphasizing the necessity of continuous scanning of models and containers, adopting a zero-trust approach, and ensuring security is a shared responsibility across teams. Another tip? I double-bluff again by sharing my password in an open forum. Video [https://home.mlops.community/home/videos/mlsecops-is-fundamental-to-robust-aispm] || Spotify [https://open.spotify.com/episode/6iM0hvLopI371L9CCOtdeU?si=hZ15mGTCRr6JSIgZqEFdXA] || Apple [https://podcasts.apple.com/us/podcast/mlsecops-is-fundamental-to-robust-aispm-sean-morgan-257/id1505372978?i=1000667478268] [https://podcasts.apple.com/us/podcast/mlsecops-is-fundamental-to-robust-aispm-sean-morgan-257/id1505372978?i=1000667478268](https://podcasts.apple.com/us/podcast/mlsecops-is-fundamental-to-robust-aispm-sean-morgan-257/id1505372978?i=1000667478268) [https://home.mlops.community/home/videos/mlsecops-is-fundamental-to-robust-aispm](https://home.mlops.community/home/videos/mlsecops-is-fundamental-to-robust-aispm) [https://open.spotify.com/episode/6iM0hvLopI371L9CCOtdeU?si=hZ15mGTCRr6JSIgZqEFdXA](https://open.spotify.com/episode/6iM0hvLopI371L9CCOtdeU?si=hZ15mGTCRr6JSIgZqEFdXA) ## Uncover AI’s Latest Trends: Access the 2024 State of AI & LLMs Report from JFrog and Qwak https://www.qwak.com/state-of-ai/?utm_source=mlopscommunity&utm_medium=newsletter&utm_campaign=stateofai How are industry leaders staying at the forefront of AI these days? Discover why 59% of leading organizations are significantly boosting their investment in generative AI and how 78% are already deploying LLMs to production. This report, which includes the latest trends, strategies and practical insights on navigating the rapidly evolving AI landscape, dives into how top companies are navigating core challenges, integrating new technologies, and driving innovation in the AI space. Download your free copy today to better equip yourself with the knowledge to drive impactful AI initiatives in your organization. Access the report here [https://www.qwak.com/state-of-ai/?utm_source=mlopscommunity&utm_medium=newsletter&utm_campaign=stateofai] ## Visualize - Bringing Structure to Unstructured Data // Markus Stoll // MLOps Podcast #258 Stuck in neutral with your data visualization projects? In this episode, Markus shares insights on handling complex car simulation data. He explains how he uses UMAP for visualizing embeddings to spot clusters and anomalies, favoring 2D visualizations for their clarity. Markus also discusses the challenges of aligning and standardizing multimodal data from various sources. His strategy focuses on addressing specific use cases first and iterating quickly, rather than perfecting data upfront, to gain meaningful insights faster. Tune in to drive your ML projects forward! Video [https://home.mlops.community/home/videos/visualize-bringing-structure-to-unstructured-data] || Spotify [https://open.spotify.com/episode/05Z4UMFlA1ISbiSZVI7kFX?si=fd1007aed31746ec] || Apple [https://podcasts.apple.com/us/podcast/visualize-bringing-structure-to-unstructured-data-markus/id1505372978?i=1000668203252] [https://podcasts.apple.com/us/podcast/visualize-bringing-structure-to-unstructured-data-markus/id1505372978?i=1000668203252](https://podcasts.apple.com/us/podcast/visualize-bringing-structure-to-unstructured-data-markus/id1505372978?i=1000668203252) [https://home.mlops.community/home/videos/visualize-bringing-structure-to-unstructured-data](https://home.mlops.community/home/videos/visualize-bringing-structure-to-unstructured-data) [https://open.spotify.com/episode/05Z4UMFlA1ISbiSZVI7kFX?si=fd1007aed31746ec](https://open.spotify.com/episode/05Z4UMFlA1ISbiSZVI7kFX?si=fd1007aed31746ec) ## Job of the Week [https://www.distillabs.ai/](https://www.distillabs.ai/) ## Sol Rashidi ## Data Engineering for AI/ML Conference A week to go until our free virtual conference featuring some of the most talented minds in AI, data science, and engineering. Hear from experts like Sol Rashidi, Yangqing Jia, and Benjamin Rogojan as they share their insights. Expect top-tier speakers from NVIDIA, Microsoft, Salesforce, and more. Click here [https://home.mlops.community/home/events/dataengforai] to grab your spot and get ready for some great talks! ## GraphRAG Analysis, Part 2: Graph Creation and Retrieval vs Vector Database Retrieval Like graphs? Like RAG? Why not combine them? This blog explores how GraphRAG in Neo4j boosts accuracy in retrieving contextually precise information. It compares graph-based retrieval with vector-based systems like FAISS, highlighting the advantages in managing complex relationships. While trade-offs like increased setup and maintenance complexity exist, this blog will guide you in deciding whether the enhanced accuracy is worth the effort for your specific needs. I'm going to push for a rename—perhaps, gRAGph? Or RAGraph maybe? With thanks to Jonathan Bennion for their contribution. [GraphRAG Analysis, Part 2: Graph Creation and Retrieval vs Vector Database Retrieval](https://home.mlops.community/home/blogs/graphrag-analysis-part-2-graph-creation-and-retrieval-vs-vector-database-retrieval) ## 30% discount ## MLOps Community X Linux Foundation Special Offer We’ve partnered with the Linux Foundation to offer an exclusive 30% discount for the PyTorch Conference 2024 [https://events.linuxfoundation.org/pytorch-conference/], happening September 18-19 in San Francisco! This conference will gather 2,000 AI & Software Architects & Engineers, Data Scientists, Research Scientists, and academic leaders to push the boundaries of AI and machine learning. This is your opportunity to learn directly from the creators and top practitioners in the field, exchange ideas with peers, and deepen your understanding of the latest advancements in PyTorch. Use code MLOPS when registering to secure your discount! ## Hidden Gems Interested in partnering with us? Get in touch: partners@mlops.community Thanks for reading. See you in Slack [https://go.mlops.community/slack], YouTube [https://www.youtube.com/channel/UCG6qpjVnBTTT8wLGBygANOQ?view_as=subscriber], and podcast [https://home.mlops.community/public/content/] land. Oh yeah, and we are also on X [https://twitter.com/mlopscommunity]. The MLOps Community newsletter is edited by Jessica Rudd [https://www.linkedin.com/in/jmrudd/]. --- Source: https://aaif.live/newsletters/mlopscommunity/2024-09-05-are-you-sure-you-re-secure