Enterprise AI Security Architecture: Protecting AI Apps

AI systems introduce risks that traditional security cannot handle. LLM powered applications, retrieval pipelines, agents, vector databases, and tool integrations open new vulnerabilities that organizations struggle to understand and control. This course gives you a complete, practical, end to end framework for securing real GenAI workloads in production environments.

You will learn how modern AI attacks actually work, how to map threats across every layer of an LLM or RAG system, and how to implement controls that prevent data leakage, prompt manipulation, unsafe tool execution, and misconfigured connectors. The course is fully aligned with the way enterprises deploy and operate AI today, combining architecture, security engineering, data governance, and monitoring into one unified approach. What this course coversA full breakdown of the AI Security Reference ArchitectureReal world GenAI threats: prompt injection, data exposure, model exploitationAI firewalls, guardrails, filtering engines, and safe tool permission modelsAI SDLC practices: provenance, evaluations, red teaming, versioningData governance for RAG pipelines: ACLs, filtering, encryption, secure embeddingsIdentity and access patterns for AI endpoints and tool integrationsAI Security Posture Management: asset inventory, risk scoring, drift detectionObservability, telemetry, and evaluation workflows for production AIWhat you receiveArchitecture diagramsThreat modeling templatesSecurity and governance policiesAI SDLC and RAG security checklistsEvaluation and firewall comparison matricesA complete AI security control stackPractical rollout plan for the first 30, 60, and 90 daysWhy this course mattersIt is practical, not theoreticalIt focuses on real AI attack surfaces, not generic cybersecurityIt gives you the frameworks, controls, and artifacts needed to secure enterprise AIIt prepares you for the growing demand for engineers who understand AI security at depthIf you need a focused, well structured, and actionable guide to securing modern AI systems, this course gives you everything required to build, defend, and operate safe and reliable GenAI applications from day one.