How Linx Security Built AI-Native Identity Governance with Arango

How can enterprises bring real-time context to identity governance as human, non-human, and AI agent identities evolve? In this webinar, Uri Ezra, Lead Architect at Linx Security, and Shekhar Iyer, CEO of Arango, explore how Linx Security built an AI-native identity governance platform using the Arango Contextual Data Platform. The challenge is much broader than access to data. AI applications need connected, current context to understand relationships and make informed decisions across the enterprise. For identity security, that means understanding how users, roles, applications, resources, entitlements, access history, and emerging agentic identities relate to one another as that environment continuously changes. As identity environments shift from human time to machine time, traditional approaches built around static identities, periodic access reviews, and deterministic workflows can struggle to keep up. Uri explains how Linx uses an identity graph to connect this information and make contextual identity decisions in real time. The discussion explores the three foundational requirements behind Linx's approach: contextual, scalable, and unified. Uri explains why multi-hop graph traversal matters for understanding complex identity relationships, how temporal information supports access reviews and auditability, and why bringing graph, document, search, and vector capabilities together can simplify the architecture behind AI-native identity security. You’ll also see how Linx uses Arango as the core data engine behind its AI layer, supporting natural-language investigation, autonomous remediation, real-time ingestion, deep graph traversal, and the real-time decisions required as identity moves to machine speed. What You'll Learn 🔗 Why identity relationships and multi-hop graph traversal matter for understanding access and risk 🤖 How AI agents and non-human identities are changing identity governance ⚡ Why identity security is moving from human time to machine time 🧠 How identity graphs provide context for real-time access decisions ⏳ How temporal data and access history support governance and auditing 🔍 Why provenance and audit trails matter for explainable identity decisions 📊 How scalable graph architecture supports increasingly complex identity environments 🧩 Why Linx chose a unified approach for graph, document, search, and vector data 🛡️ How Linx uses AI to investigate identity relationships and support automated remediation 🚀 Lessons from building an AI-native identity governance architecture Chapters 00:00 Introduction 01:46 Meet Linx Security 03:50 Poll: Building AI-Native Systems 06:02 The Old Way of Identity Governance 08:10 Why Traditional Identity Governance Falls Short 10:40 Human Time vs. Machine Time 12:05 Three Pillars of AI-Native Identity Governance 13:23 What Context Means for Identity Security 14:37 Why Identity Security Needs a Graph 16:04 Multi-Hop Graph Traversal for Identity Intelligence 17:24 Scaling Identity Graphs in Real Time 19:50 Why a Unified Data Platform Matters 23:46 Why Linx Chose Arango 25:49 Inside the Linx Security Architecture 27:06 Using AI to Query Identity Data 28:12 Autonomous Remediation with AI 30:09 Building and Evolving Identity Graphs 32:21 Real-Time Identity Governance in Action 33:50 Provenance, Audit Trails, and Temporal Data 36:03 Poll: Graph vs. Relational Databases 39:09 The Future of AI Agent Identity Security 40:37 Five Lessons from Building Linx 42:41 Resources and Next Steps 44:17 Q&A: How Linx Builds Its Identity Graph 46:34 Q&A: Graph vs. Relational Database Performance 49:18 Closing Thoughts Topics Covered AI-Native Identity Governance Identity Governance and Administration (IGA) Identity Security Identity Graphs AI Agents Agentic Identities Non-Human Identities Real-Time Identity Intelligence Multi-Hop Graph Traversal Access Governance Access Reviews Autonomous Remediation Temporal Data Audit Trails Graph Databases Contextual AI Contextual Data Platform Learn More 🌐 Arango: https://arango.ai 📅 Upcoming webinars and events: https://arango.ai/events/ 📖 Documentation: https://docs.arango.ai 💻 GitHub: https://github.com/arangodb 🔗 LinkedIn: https://www.linkedin.com/company/arangodb/ Subscribe for more videos on Enterprise AI, Identity Security, AI Agents, Knowledge Graphs, Contextual AI, GraphRAG, and building trusted AI systems. Hashtags #IdentitySecurity #IdentityGovernance #AI #AIAgents #IdentityGraph #AgenticAI #EnterpriseAI #ContextualAI #Arango