Talex Maxim
⚙️ML Engineer | 📊 Data Scientist | 🛡️ Cyber Enthusiast | 🔧 DevOps Simplifier | 🚀 GenAI Pioneer | 🧙♂️ Crypto Wizard | ✨ Creator && ✍️ Medium Author
Tel Aviv, Israel
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I am ML engineer, GenAI Pioneer, and creator of the Chagu Protocol—a graph-powered, blockchain-secured defense layer for LLMs currently under patent review. I launched multiple technical courses, contributed to open-source tools, and actively leading research on AI safety and anomaly detection. My work bridges cloud infrastructure, prompt integrity, and real-time observability. My innovations have been featured in hackathons, academic proposals, and training programs for developers seeking to build secure, intelligent systems.
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Chagu: Graph-Powered LLM Shielding & Anomaly Detection for Secure AI Pipelines
This session will introduce Chagu, a novel protocol currently under pre-patent review, designed to defend generative AI systems using graph-based techniques. Talex Maxim will demonstrate how Neo4j empowers Chagu to trace prompt execution paths, visualize AI state drift, and detect anomalies in distributed, multi-agent environments.
You will learn how to model LLM interactions, suspicious flows, and behavior shifts using graph structures, making use of Cypher queries to identify threats in real-time. This session will provide an actionable blueprint to help you secure agentic systems by combining graph data models, Cypher-powered detection, and open-source anomaly defense strategies.
Attendees will walk away with code snippets, graph modeling ideas, and inspiration for combining Neo4j with LLM pipelines, security layers, and data-driven observability.
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