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Udemy - Defending Agentic AI - Securing MCP and Pipelines Mastery

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Udemy - Defending Agentic AI - Securing MCP and Pipelines Mastery (Size: 1.1 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - Introduction
  1. Introduction.mp4 101.8 MB
  10 - Module 9 Scalability, Reliability, Chaos, and Multi-Agent Operations
  100. Lab 90 Module Milestone Reliable Multi-Agent Operations.html 45.6 KB
  11 - Module 10 Sovereign Deployment, Decentralized Research, and Capstone Project
  101. Sovereign Deployment, Decentralized Research, and Capstone Project.mp4 109.7 MB
  102. Lab 91 Build a Local-Only Model Routing Policy.html 43.2 KB
  103. Lab 92 Add Air-Gap Deployment Checklist.html 38.6 KB
  104. Lab 93 Add Decentralized Research Source Ledger.html 38 KB
  105. Lab 94 Build a Verifiable Research Bundle.html 37.8 KB
  106. Lab 95 Add Sovereign Secrets Handling Plan.html 54.4 KB
  107. Lab 96 Add Offline Restore Drill.html 37.2 KB
  108. Lab 97 Design the Final Sovereign Reference Architecture.html 52.3 KB
  109. Lab 98 Run a Full Pre-Capstone Security Review.html 43.9 KB
  110. Lab 99 Prepare the Capstone Runbook.html 37.8 KB
  111. Lab 100 Capstone Sovereign MCP Defense Platform for Autonomous Pipelin.html 54.5 KB
  12 - Conclusion
  112. Conclusion.mp4 109.5 MB
  2 - Module 1 Foundations, Local Environment Setup, and Initial Success
  10. Lab 8 Containerize the Tool API.html 33.9 KB
  11. Lab 9 Add a Local Security Baseline Script.html 35.4 KB
  12. Lab 10 Initial Success Milestone Local Secure Tool Demo.html 36.5 KB
  2. Foundations, Local Environment Setup, and Initial Success.mp4 93.5 MB
  3 - Module 2 MCP Core Server Security
  13. MCP Core Server Security.mp4 76.5 MB
  14. Lab 11 Define Typed Tool Inputs with Pydantic.html 38.4 KB
  15. Lab 12 Publish a Tool Manifest.html 39.2 KB
  16. Lab 13 Detect Tool Metadata Poisoning.html 46.7 KB
  17. Lab 14 Add Structured Tool Output.html 39.9 KB
  18. Lab 15 Add Request IDs to Tool Calls.html 36.9 KB
  19. Lab 16 Enforce Safe Tool Names.html 27.7 KB
  20. Lab 17 Separate Read Tools from Write Tools.html 38.6 KB
  21. Lab 18 Add a Local MCP Gateway Skeleton.html 33.1 KB
  22. Lab 19 Add Gateway Tool Allowlisting.html 45.5 KB
  23. Lab 20 Module Milestone Hardened Local MCP Gateway.html 43.8 KB
  4 - Module 3 Identity, Authorization, and Policy
  24. Identity, Authorization, and Policy.mp4 86.8 MB
  25. Lab 21 Add Static API Token Authentication.html 38 KB
  26. Lab 22 Enforce Auth in the Gateway Route.html 39.1 KB
  27. Lab 23 Model OAuth Scopes for Agent Tools.html 29.3 KB
  28. Lab 24 Add Scope Checks to the Gateway.html 46.6 KB
  29. Lab 25 Introduce Rego Policy Testing.html 46.1 KB
  30. Lab 26 Test Policies with Sample Inputs.html 34.8 KB
  31. Lab 27 Add Human Approval Metadata.html 44.6 KB
  32. Lab 28 Add Audit Records for Authorization Decisions.html 40.2 KB
  33. Lab 29 Add Rate Limits for Tool Invocation.html 41.2 KB
  34. Lab 30 Module Milestone Identity-Aware Gateway Policy.html 46 KB
  5 - Module 4 Prompt, Tool, and Data Boundary Defense
  35. Prompt, Tool, and Data Boundary Defense.mp4 95.1 MB
  36. Lab 31 Build a Prompt Injection Corpus.html 34.5 KB
  37. Lab 32 Implement a Local Prompt Filter.html 31.3 KB
  38. Lab 33 Test Prompt Filter Precision.html 29.2 KB
  39. Lab 34 Add Output Validation for Tool Responses.html 36.4 KB
  40. Lab 35 Add Sensitive Data Detection.html 43.6 KB
  41. Lab 36 Redact Sensitive Data in Logs.html 27.7 KB
  42. Lab 37 Label Untrusted Context.html 35.8 KB
  43. Lab 38 Build a Safe Prompt Envelope.html 32.3 KB
  44. Lab 39 Add Tool Result Quarantine.html 36.2 KB
  45. Lab 40 Module Milestone Boundary Defense Test Suite.html 43.2 KB
  6 - Module 5 Agent Orchestration and Autonomous Pipeline Controls
  46. Agent Orchestration and Autonomous Pipeline Controls.mp4 109.5 MB
  47. Lab 41 Create an Explicit Agent State Model.html 27.7 KB
  48. Lab 42 Build a Deterministic Planning Step.html 33.3 KB
  49. Lab 43 Add a Plan Approval Gate.html 34.1 KB
  50. Lab 44 Execute Approved Plans Only.html 37.8 KB
  51. Lab 45 Add Idempotency Keys.html 37 KB
  52. Lab 46 Add Retry Budgets.html 34.8 KB
  53. Lab 47 Add a Dead-Letter Queue.html 32.6 KB
  54. Lab 48 Add Multi-Agent Role Boundaries.html 35.3 KB
  55. Lab 49 Add Workflow Checkpointing.html 38.9 KB
  56. Lab 50 Module Milestone Controlled Autonomous Pipeline.html 37.2 KB
  7 - Module 6 Observability, Evaluation, and Incident Response
  57. Observability, Evaluation, and Incident Response.mp4 101.2 MB
  58. Lab 51 Add Structured JSON Logging.html 46.9 KB
  59. Lab 52 Add OpenTelemetry Trace Hooks.html 38.1 KB
  60. Lab 53 Define Agent Telemetry Fields.html 43.8 KB
  61. Lab 54 Add Metrics for Tool Calls.html 47 KB
  62. Lab 55 Build an Evaluation Harness.html 40.3 KB
  63. Lab 56 Add Incident Severity Classification.html 40.7 KB
  64. Lab 57 Write the First Incident Playbook.html 52.8 KB
  65. Lab 58 Add Evidence Export.html 33.8 KB
  66. Lab 59 Add Operational Readiness Review.html 37.4 KB
  67. Lab 60 Module Milestone Observable and Reviewable Agent System.html 37.8 KB
  8 - Module 7 Supply Chain, CI CD, and Deployment Hardening
  68. Supply Chain, CI CD, and Deployment Hardening.mp4 90.7 MB
  69. Lab 61 Generate a Python Dependency Inventory.html 36.4 KB
  70. Lab 62 Add Container Build Metadata.html 37.7 KB
  71. Lab 63 Add a CI Security Workflow Skeleton.html 39.5 KB
  72. Lab 64 Add SBOM Generation Plan.html 43.5 KB
  73. Lab 65 Add Image Vulnerability Scanning Hook.html 35.1 KB
  74. Lab 66 Add Signed Artifact Release Policy.html 37 KB
  75. Lab 67 Create Kubernetes Manifests for the Gateway.html 43.7 KB
  76. Lab 68 Add Kubernetes Security Context.html 44.5 KB
  77. Lab 69 Add Network Policy Intent.html 41.2 KB
  78. Lab 70 Module Milestone Secure Delivery Package.html 46.3 KB
  9 - Module 8 Data Governance, RAG, Privacy, and Compliance Evidence
  79. Data Governance, RAG, Privacy, and Compliance Evidence.mp4 88.6 MB
  80. Lab 71 Create a Data Classification Matrix.html 42.9 KB
  81. Lab 72 Build a Local Document Ingestion Folder.html 28 KB
  82. Lab 73 Add Ingestion Review Metadata.html 34.9 KB
  83. Lab 74 Approve Public Data for Retrieval.html 33.6 KB
  84. Lab 75 Build a Minimal Local Retriever.html 33.2 KB
  85. Lab 76 Add Retrieval Policy Checks.html 39.7 KB
  86. Lab 77 Create a DPIA-Style AI Processing Record.html 53.4 KB
  87. Lab 78 Add Retention Cleanup Script.html 47.6 KB
  88. Lab 79 Build a Compliance Control Map.html 41.1 KB
  89. Lab 80 Module Milestone Governed Retrieval and Compliance Evidence.html 41.5 KB
  3. Lab 1 Build the Open Lab Workstation.html 41.5 KB
  4. Lab 2 Install the Local AI Engineering Toolchain.html 38.5 KB
  5. Lab 3 Create a Reproducible Python Project.html 29.5 KB
  6. Lab 4 Define the Course Threat Model Baseline.html 40.8 KB
  7. Lab 5 Build a Minimal MCP Concepts Map.html 32.3 KB
  8. Lab 6 Create the First Local MCP-Style Tool API.html 36.5 KB
  9. Lab 7 Add Contract Tests for the First Tool.html 27 KB
  90. Scalability, Reliability, Chaos, and Multi-Agent Operations.mp4 86.2 MB
  91. Lab 81 Add Health and Readiness Contracts.html 43.8 KB
  92. Lab 82 Add Resource Requests and Limits.html 34.6 KB
  93. Lab 83 Add Horizontal Scaling Intent.html 32.3 KB
  94. Lab 84 Add Redis-Compatible State Plan.html 41.9 KB
  95. Lab 85 Add Chaos Test for Tool Failure.html 39.7 KB
  96. Lab 86 Add Circuit Breaker Logic.html 43.5 KB
  97. Lab 87 Add Multi-Agent Handoff Logging.html 41.2 KB
  98. Lab 88 Add Agent Loop Detection.html 38 KB
  99. Lab 89 Add Service-Level Objectives.html 50.9 KB

Description


Defending Agentic AI: Securing MCP & Pipelines Mastery
https://WebToolTip.com
Published 9/2026

Created by Bayt Al Hikmah

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Level: All Levels | Genre: eLearning | Language: English | Duration: 112 Lectures ( 26h 14m ) | Size: 1.2 GB
What you'll learn

⚡ Architect a hardened MCP gateway from scratch

⚡ Defend against the real MCP threat taxonomy

⚡ Enforce identity and least privilege

⚡ Build structured trust boundaries

⚡ Orchestrate autonomous pipelines safely

⚡ Instrument the system for real observability

⚡ Harden the supply chain and deployment

⚡ Govern data the way regulated AI systems must

⚡ Engineer for reliability

⚡ Deliver a capstone-grade Sovereign MCP Defense Platform
Requirements

❗ Knowledge: Basic Python (functions, running scripts) and basic terminal comfort. No prior MCP, agentic AI, or security experience required — Module 1 builds everything from a bare workstation up. No prior exposure to LangGraph, CrewAI, or agent orchestration frameworks needed — this course builds the state-machine, approval-gate, and policy patterns from first principles in plain Python, transferable to whatever framework you use in production. No prior Kubernetes or DevSecOps experience required — Module 7 builds those skills using manifests and a local-cluster-compatible design. Software (all free/open-source): Docker, Git, Python 3.12. Python packages installed via pip in Lab 3: FastAPI, Uvicorn, Pydantic, pytest,httpx — all free and open-source. kubectl (optional, for Module 7's Kubernetes manifests) — no cloud account required. No paid AI API required. The entire course builds MCP-style tool servers, gateways, and orchestration logic using deterministic Python — every attack, defense, and policy decision is fully reproducible without spending money on model calls. Hardware: 10GB+ free disk space, 4GB+ RAM sufficient for most modules (Docker containers for later labs). No cloud account, no production AI system, and no real sensitive data required — every lab uses synthetic tool manifests, synthetic documents, and self-contained attack fixtures you build yourself.
Description

This course contains the use of artificial intelligence.

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