🔒 OWASP Top 10 LLM & Generative AI Security Vulnerabilities for 2025 - Critical Insights for Secure AI Development 🤖

As AI continues to transform industries, understanding its security challenges is paramount. The latest OWASP report highlights 10 critical vulnerabilities that every AI professional and organization must address:

OWASP Top 10 for LLM and Gen AI Application includes:

• Prompt Injection: Manipulating AI model behavior

• Sensitive Information Disclosure: Protecting confidential data

• Supply Chain Vulnerabilities: Ensuring model and data integrity

• Data/Model Poisoning: Preventing malicious model manipulation

• Improper Output Handling: Validating AI-generated content

• Excessive Agency: Controlling AI system capabilities

• System Prompt Leakage: Protecting internal instructions

• Vector/Embedding Weaknesses: Securing RAG systems

• Unbounded Consumption: Managing computational resources

• Misinformation Risks: Maintaining AI output credibility

Secure AI isn't just a technical challenge—it's a strategic imperative. Stay informed, stay secure! 🛡️

Link to full PDF

Microsoft study on how AI is transforming more than 200 companies

Microsoft's in-depth study reveals the profound impact of AI across diverse sectors:

🏥 Healthcare

• Accelerating drug development at Amgen

• Improving patient care at Shriners Children's

• Enhancing diagnostic capabilities with AI-powered medical tools

🏦 Financial Services

• Transforming customer service at Capitec Bank

• Streamlining operations at Nest Bank

• Improving fraud detection and risk assessment

🚗 Automotive & Manufacturing

• Designing innovative solutions at BMW Group

• Optimizing production at Grupo Bimbo

• Developing next-generation technologies at Denso

📚 Education

• Personalizing learning at International University of Applied Sciences

• Enhancing student support at University of Sydney

• Promoting AI literacy at Auburn University

🛍️ Retail & E-commerce

• Personalizing shopping experiences at ASOS

• Improving customer engagement at Estée Lauder

• Optimizing inventory at Albert Heijn

The numbers speak volumes: For every $1 invested in generative AI, organizations are seeing $3.70 in returns. Over 85% of Fortune 500 companies are already leveraging Microsoft AI solutions.

The future isn't just coming—it's here, and it's powered by AI.

Link to full article

Make your Prompt better with Anthropic Prompt Improver

Anthropic introduced a "prompt improver" in its developer console, designed to enhance AI prompt quality for better model performance. The tool refines prompts through techniques like chain-of-thought reasoning, example enrichment, and structural rewrites. It also supports managing examples and testing outputs to ensure accuracy, consistency, and adherence to desired formats. Users can iteratively refine prompts based on feedback, streamlining tasks like migrations to new AI models. Notably, Kapa.ai successfully used this tool to expedite Claude's deployment.
For more details, visit Anthropic's article

Unlock Cutting-Edge Skills with NVIDIA's Free Courses

NVIDIA is a name synonymous with innovation, pushing the boundaries of artificial intelligence, deep learning, and high-performance computing. From powering the world’s most advanced AI models to transforming industries like gaming, healthcare, and autonomous vehicles, NVIDIA continues to lead the way in technological advancement.

But here's the best part: NVIDIA isn't just innovating—they're empowering YOU to join the revolution.

Through their free courses, NVIDIA offers a unique opportunity to learn directly from the pioneers of AI and GPU computing. These courses cover essential topics, including AI fundamentals, GPU programming, and data science, equipping learners with industry-relevant skills.

Why choose NVIDIA courses?

• World-Class Expertise: Gain knowledge developed by the same team driving innovations in AI and GPU technology.

• Hands-On Learning: Dive into practical projects designed to mirror real-world challenges.

• Stay Future-Ready: Learn the latest tools and techniques shaping the future of AI and technology.

Whether you’re a beginner looking to explore AI or a professional aiming to upskill, these free courses are an indispensable resource for staying ahead in today’s competitive tech landscape.

Don’t miss out on this opportunity to learn from the best. Explore NVIDIA's free courses here and start your journey toward becoming a tech trailblazer! 🚀

Amazing Open Source Project - Kotaemon

An open-source clean & customizable RAG UI for chatting with your documents. Built with both end users and developers in mind. This project serves as a functional RAG UI for both end users who want to do QA on their documents and developers who want to build their own RAG pipeline.

Host your own document QA (RAG) web-UI: Support multi-user login, organize your files in private/public collections, collaborate and share your favorite chat with others.
Organize your LLM & Embedding models: Support both local LLMs & popular API providers (OpenAI, Azure, Ollama, Groq).
Hybrid RAG pipeline: Sane default RAG pipeline with hybrid (full-text & vector) retriever and re-ranking to ensure best retrieval quality.
Multi-modal QA support: Perform Question Answering on multiple documents with figures and tables support. Support multi-modal document parsing (selectable options on UI).
Advanced citations with document preview: By default the system will provide detailed citations to ensure the correctness of LLM answers. View your citations (incl. relevant score) directly in the in-browser PDF viewer with highlights. Warning when retrieval pipeline return low relevant articles.
Support complex reasoning methods: Use question decomposition to answer your complex/multi-hop question. Support agent-based reasoning with ReAct, ReWOO and other agents.
Configurable settings UI: You can adjust most important aspects of retrieval & generation process on the UI (incl. prompts).
Extensible: Being built on Gradio, you are free to customize or add any UI elements as you like. Also, we aim to support multiple strategies for document indexing & retrieval. GraphRAG indexing pipeline is provided as an example.o
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