OWASP Guide to Securing Agentic AI Applications: Best Practices for Trustworthy and Secure AI Systems

August 4, 2025 Lothar Schulz 0

Discover how architectural choices can be a defense in securing agentic AI systems. This comprehensive guide explores OWASP’s latest “Securing Agentic Applications” paper, covering everything from Sequential and Hierarchical architectures to the 15 critical threat categories facing autonomous AI applications. Learn practical implementation strategies, universal security principles, and how to build trust into your agentic AI systems from the ground up.

Slopsquatting

April 24, 2025 Lothar Schulz 0

An AI-driven threat software engineers need to watch out for — when large language models hallucinate fake but plausible package names, and bad actors register them for malicious use. As AI-generated code becomes more common, verifying package names is no longer optional. Learn what slopsquatting is, why it matters, and how to protect your code.

Rust MCP Local Server: Bridging Rust Logic with AI Frontends

April 9, 2025 Lothar Schulz 0

Unlock the power of Rust for AI integrations! Learn how to use Rust-based logic with Model Context Protocol (MCP) to provide seamless context to AI frontends like Claude Desktop. While Rust doesn’t have an official MCP SDK yet, leveraging WebAssembly (Wasm) enables efficient integration with JavaScript environments. Explore how MCP standardizes communication with Large Language Models (LLMs). Whether you’re building custom AI workflows or connecting local data sources, this guide provides practical steps and solutions to get started.

Engage with LotharSchulz.info: Your Ultimate Chat Experience

January 26, 2025 Lothar Schulz 0

Discover how NotebookLM transforms the way we interact with digital content! In this post, I dive into using Google’s NotebookLM with my blog, lotharschulz.info, to explore its capabilities in summarizing, analyzing, and enhancing blog content. Join me as I uncover the future of interactive blog engagement and the lessons learned from experimenting with NotebookLM!