100% OFF Enterprise AI Security Architecture: Protecting AI Apps Coupon Code
100% OFF Enterprise AI Security Architecture: Protecting AI Apps Coupon Code
  • Promoted by: Anonymous
  • Platform: Udemy
  • Category: Network & Security
  • Language: English
  • Instructor: Andrii Piatakha
  • Duration: 6 hour(s)
  • Student(s): 1,961
  • Rate 3.9 Of 5 From 0 Votes
  • Expires on: 2025/12/11
  • Last Update: 2025/12/07
  • Price: 44.99 0

Create a full-stack AI defense strategy across model, data, and infrastructure layers

Unlock your potential with a Free coupon code for the "Enterprise AI Security Architecture: Protecting AI Apps" course by Andrii Piatakha on Udemy. This course, boasting a 3.9-star rating from 0 reviews and with 1,961 enrolled students, provides comprehensive training in Network & Security.
Spanning approximately 6 hour(s) , this course is delivered in English and we updated the information on December 07, 2025.

To get your free access, find the coupon code at the end of this article. Happy learning!

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 covers

  • A full breakdown of the AI Security Reference Architecture

  • Real world GenAI threats: prompt injection, data exposure, model exploitation

  • AI firewalls, guardrails, filtering engines, and safe tool permission models

  • AI SDLC practices: provenance, evaluations, red teaming, versioning

  • Data governance for RAG pipelines: ACLs, filtering, encryption, secure embeddings

  • Identity and access patterns for AI endpoints and tool integrations

  • AI Security Posture Management: asset inventory, risk scoring, drift detection

  • Observability, telemetry, and evaluation workflows for production AI


What you receive

  • Architecture diagrams

  • Threat modeling templates

  • Security and governance policies

  • AI SDLC and RAG security checklists

  • Evaluation and firewall comparison matrices

  • A complete AI security control stack

  • Practical rollout plan for the first 30, 60, and 90 days


Why this course matters

  • It is practical, not theoretical

  • It focuses on real AI attack surfaces, not generic cybersecurity

  • It gives you the frameworks, controls, and artifacts needed to secure enterprise AI

  • It prepares you for the growing demand for engineers who understand AI security at depth


If 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.