Agent Data Governance & Entitlement Policies | Complete Agent Architect Course скачать в хорошем качестве

Agent Data Governance & Entitlement Policies | Complete Agent Architect Course

Agent sprawl is real—and dangerous. Imagine your customer support agent accidentally gaining access to your financial projections. In this session from the Agent Architect Course, we tackle Agent Data Governance and introduce a powerful concept: the Agent Entitlement Policy (AEP). Learn how Lyzr enforces secure agent interactions by: Defining agent-to-agent communication boundaries Preventing data leaks between low and high sensitivity agents Creating policies based on departments, sensitivity levels, and context This is the invisible shield every enterprise AI deployment needs before going to production. ⏱️ Chapters: 0:00 – Intro: Why Agent Data Governance is Essential 1:08 – What is Agent Entitlement Policy (AEP)? 1:36 – Example: Finance Agent vs Website Chat Agent 2:21 – Nightmare Scenario: Leaked Financial Data 3:07 – How AEP Works (Don’t Talk to Strangers Analogy) 3:53 – Live Demo: Testing AEP in Playground 4:45 – Prompt Injection Attempt Fails 5:23 – Policy Enforcement with Unauthorized Agents 5:56 – Expansion to Custom Policies 6:45 – Final Thoughts: Governance as a Prerequisite to Scale 🔗 Important Links 🧠 Build your own AI agent → https://hubs.ly/Q03wb5Md0 🌐 Explore our website → https://hubs.ly/Q03wbGVt0 📞 Build agents for your company (Book a demo) → https://hubs.ly/Q03wbH0k0 📥 Invest in Lyzr → https://hubs.ly/Q03wbDxV0 🎓 Learn how to build agents with Lyzr Academy → https://hubs.ly/Q03wqxFR0