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Udemy - LLM and API Security - AI Penetration Testing Bootcamp

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Udemy - LLM and API Security - AI Penetration Testing Bootcamp (Size: 1.1 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
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  1 - Introduction
  1. Introduction.mp4 115.8 MB
  10 - Module 9 Observability, Incident Response, Reliability, and Cost Controls
  100. Lab 090 Operations and Resilience Milestone.html 48.3 KB
  11 - Module 10 Sovereign Deployment, Decentralized Research, and Capstone
  101. Sovereign Deployment, Decentralized Research, and Capstone.mp4 100.7 MB
  102. Lab 091 Design a Sovereign Local Inference Architecture.html 41 KB
  103. Lab 092 Add Egress Control Design.html 42.8 KB
  104. Lab 093 Build a Compliance Evidence Matrix.html 47.2 KB
  105. Lab 094 Package Reproducible Research Evidence.html 37.9 KB
  106. Lab 095 Add Tamper-Evident Checksums.html 38.8 KB
  107. Lab 096 Build a Decentralized Evidence Sharing Plan.html 40.9 KB
  108. Lab 097 Run a Full Release Security Gate.html 39.3 KB
  109. Lab 098 Conduct a Board-Level Risk Brief.html 51.1 KB
  110. Lab 099 Capstone Dry Run and Gap Closure.html 42.4 KB
  111. Lab 100 Sovereign LLM Application Security Capstone.html 75.8 KB
  12 - Conclusion
  112. Conclusion.mp4 89.2 MB
  2 - Module 1 Foundations, Local Environment Setup, and Initial Success
  10. Lab 008 Write the First Security Regression Test.html 26.1 KB
  11. Lab 009 Patch the First Prompt Disclosure Weakness.html 31.4 KB
  12. Lab 010 Initial Success Milestone Produce a Reproducible Finding Report.html 34.7 KB
  2. Foundations, Local Environment Setup, and Initial Success.mp4 102.3 MB
  3 - Module 2 LLM Attack Surface and Threat Modeling
  13. LLM Attack Surface and Threat Modeling.mp4 87.5 MB
  14. Lab 011 Map the LLM Application Data Flow.html 42.7 KB
  15. Lab 012 Build an OWASP LLM Risk Register.html 48.3 KB
  16. Lab 013 Map MITRE ATLAS Techniques to the Lab Range.html 40.5 KB
  17. Lab 014 Create an OpenAPI Contract for the Gateway.html 40.8 KB
  18. Lab 015 Perform API Surface Enumeration.html 41.2 KB
  19. Lab 016 Define Abuse Cases for LLM APIs.html 43.1 KB
  20. Lab 017 Create a Threat Model with Trust Boundaries.html 57.9 KB
  21. Lab 018 Prioritize Risks with Likelihood and Impact.html 40.2 KB
  22. Lab 019 Build a Security Test Plan.html 41.8 KB
  23. Lab 020 Architecture Review Milestone.html 45.7 KB
  4 - Module 3 Prompt Injection, Output Handling, and Data Exposure
  24. Prompt Injection, Output Handling, and Data Exposure.mp4 88.4 MB
  25. Lab 021 Test Direct Prompt Injection Controls.html 39.4 KB
  26. Lab 022 Test Indirect Prompt Injection with Retrieved Text.html 35.8 KB
  27. Lab 023 Add Output Filtering as Application Code.html 32.2 KB
  28. Lab 024 Enforce Structured JSON Output.html 31.1 KB
  29. Lab 025 Test Unsafe Markdown and HTML Output Handling.html 33.1 KB
  30. Lab 026 Add Input Length and Character Policy.html 42 KB
  31. Lab 027 Test PII Disclosure with Synthetic Data.html 41 KB
  32. Lab 028 Add PII Redaction to Logs.html 42.7 KB
  33. Lab 029 Test Model Refusal Consistency.html 37.8 KB
  34. Lab 030 Prompt and Output Security Milestone.html 38.4 KB
  5 - Module 4 API Security, Identity, and Authorization for LLM Apps
  35. API Security, Identity, and Authorization for LLM Apps.mp4 102.1 MB
  36. Lab 031 Add API Key Authentication for Local Testing.html 35.4 KB
  37. Lab 032 Test Missing and Invalid Credential Paths.html 39.7 KB
  38. Lab 033 Move Secrets to Environment Variables.html 43.1 KB
  39. Lab 034 Add JWT Validation Concept with Local Keys.html 40.3 KB
  40. Lab 035 Design Tenant Isolation Rules.html 42.5 KB
  41. Lab 036 Add OpenAPI Security Schemes.html 36.6 KB
  42. Lab 037 Add Rate Limiting Design for Unbounded Consumption.html 41.9 KB
  43. Lab 038 Add Request and Response Audit IDs.html 42.9 KB
  44. Lab 039 Validate Authorization Failure Messages.html 55.3 KB
  45. Lab 040 API Security and Identity Milestone.html 57.8 KB
  6 - Module 5 RAG, Embeddings, Vector Stores, and Data Governance
  46. RAG, Embeddings, Vector Stores, and Data Governance.mp4 88.9 MB
  47. Lab 041 Build a Local Document Ingestion Pipeline.html 36.2 KB
  48. Lab 042 Add Chunk Metadata and Source Tracking.html 41 KB
  49. Lab 043 Deploy a Local Vector Store.html 29 KB
  50. Lab 044 Create a Deterministic Toy Embedding Function.html 42.8 KB
  51. Lab 045 Test Metadata Filtering for Tenant Isolation.html 43.6 KB
  52. Lab 046 Simulate Retrieval Poisoning.html 40.6 KB
  53. Lab 047 Add Retrieval Source Allowlisting.html 43.8 KB
  54. Lab 048 Test Data Deletion and Retention.html 43.2 KB
  55. Lab 049 Add Retrieval Audit Evidence.html 43.1 KB
  56. Lab 050 RAG Security and Governance Milestone.html 46.4 KB
  7 - Module 6 Agentic Systems, Tools, MCP, and Excessive Agency
  57. Agentic Systems, Tools, MCP, and Excessive Agency.mp4 86.6 MB
  58. Lab 051 Build a Safe Local Tool Registry.html 37.9 KB
  59. Lab 052 Add Tool Schema Validation.html 36.4 KB
  60. Lab 053 Enforce Least Privilege for Tool Calls.html 51.4 KB
  61. Lab 054 Add Human Approval for Medium-Risk Actions.html 52.9 KB
  62. Lab 055 Simulate Tool Poisoning with Benign Payloads.html 50.7 KB
  63. Lab 056 Model Context Protocol Security Review.html 41.1 KB
  64. Lab 057 Add Sandboxed Tool Execution Design.html 41.2 KB
  65. Lab 058 Test Agent Memory Contamination.html 40.9 KB
  66. Lab 059 Add Agent Action Audit Trails.html 44.4 KB
  67. Lab 060 Agentic Security Milestone.html 39.8 KB
  8 - Module 7 Automated Red Teaming, Fuzzing, and Evaluation Pipelines
  68. Automated Red Teaming, Fuzzing, and Evaluation Pipelines.mp4 87.7 MB
  69. Lab 061 Install garak in an Isolated Environment.html 26.5 KB
  70. Lab 062 Create a Local garak Target Plan.html 38.9 KB
  71. Lab 063 Install PyRIT for Controlled AI Risk Testing.html 36.9 KB
  72. Lab 064 Build a Custom Prompt Fuzzing Harness.html 44.1 KB
  73. Lab 065 Add Scoring for Security Test Outcomes.html 39.2 KB
  74. Lab 066 Create a Regression Corpus.html 41.1 KB
  75. Lab 067 Add CI-Compatible Security Test Command.html 36.5 KB
  76. Lab 068 Build an Evaluation Dashboard Artifact.html 42.6 KB
  77. Lab 069 Calibrate False Positives and False Negatives.html 38 KB
  78. Lab 070 Automated Red Teaming Milestone.html 38.8 KB
  9 - Module 8 Platform Security, Supply Chain, and CI CD
  79. Platform Security, Supply Chain, and CI CD.mp4 95.3 MB
  80. Lab 071 Scan the Container Image with Trivy.html 33.2 KB
  81. Lab 072 Generate an SBOM with Syft.html 37.4 KB
  82. Lab 073 Scan the SBOM with Grype.html 31.2 KB
  83. Lab 074 Sign the Container Image with Cosign.html 43.5 KB
  84. Lab 075 Define SLSA-Informed Build Controls.html 43.9 KB
  85. Lab 076 Deploy to Local Kubernetes with kind.html 35.6 KB
  86. Lab 077 Add Kubernetes Manifests for the Gateway.html 36.4 KB
  87. Lab 078 Enforce Kubernetes Policy with Kyverno or Gatekeeper.html 42.5 KB
  88. Lab 079 Design Workload Identity with SPIFFE SPIRE.html 40.9 KB
  89. Lab 080 Platform and Supply Chain Milestone.html 47.3 KB
  3. Lab 001 Build the Authorized Local LLM Security Range.html 39.6 KB
  4. Lab 002 Create the Lab Control Script.html 41.5 KB
  5. Lab 003 Containerize a Minimal FastAPI LLM Gateway.html 40.7 KB
  6. Lab 004 Add Docker Compose for Reproducible Startup.html 58.2 KB
  7. Lab 005 Add a Local Mock LLM Adapter.html 34 KB
  8. Lab 006 Build the First Vulnerable Chat Endpoint.html 34.8 KB
  9. Lab 007 Execute the First Controlled Finding.html 35 KB
  90. Observability, Incident Response, Reliability, and Cost Controls.mp4 100.9 MB
  91. Lab 081 Add Structured Security Logs.html 41.5 KB
  92. Lab 082 Add OpenTelemetry Trace Design.html 43.2 KB
  93. Lab 083 Define Metrics for LLM Security Operations.html 39.5 KB
  94. Lab 084 Build a Cost Abuse Test.html 30.7 KB
  95. Lab 085 Create Alert Rules for Security Events.html 37.8 KB
  96. Lab 086 Build an LLM Security Incident Playbook.html 48.3 KB
  97. Lab 087 Add Reliability Controls for Model Gateway Failures.html 42.8 KB
  98. Lab 088 Perform a Local Chaos Test.html 31.9 KB
  99. Lab 089 Test Backup and Restore of Lab Evidence.html 31.7 KB

Description


LLM & API Security: AI Penetration Testing Bootcamp
https://WebToolTip.com
Published 9/2026

Created by Bayt Al Hikmah

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

Level: Intermediate | Genre: eLearning | Language: English | Duration: 112 Lectures ( 26h 56m ) | Size: 1.2 GB
From prompt-injection novice to production AI security engineer: build, test, and harden 100 real-world LLM labs.
What you'll learn

⚡ Architect and deploy a full LLM application security range using FastAPI, Docker, and a mock LLM gateway from scratch.

⚡ Map LLM attack surfaces, trust boundaries, and OWASP LLM Top 10 risks using MITRE ATLAS-aligned threat models.

⚡ Execute and defend against direct and indirect prompt injection, system prompt leakage, and unsafe output rendering.

⚡ Implement API authentication, JWT validation, tenant isolation, and rate limiting to stop unbounded LLM abuse.

⚡ Build and secure a RAG pipeline: ingestion, embeddings, vector stores, metadata filtering, and retrieval poisoning defenses.

⚡ Design least-privilege agentic tool systems with approval gates, sandboxing, and Model Context Protocol security reviews.

⚡ Automate AI red teaming with garak, PyRIT, and custom fuzzing harnesses wired into CI-compatible security gates.

⚡ Harden the software supply chain with Trivy scans, Syft SBOMs, Grype checks, and Cosign image signing plans.

⚡ Deploy hardened workloads to Kubernetes with kind, admission policies, and SPIFFE/SPIRE workload identity design.

⚡ Engineer observability, incident response, and cost-abuse controls, then ship a sovereign, audit-ready capstone system.
Requirements

❗ Basic comfort with the command line (running commands, navigating directories) — no prior security certification required. Working knowledge of Python fundamentals (variables, functions, basic scripting). You do not need prior FastAPI or API experience — it's taught inside the labs. A computer running macOS, Linux, or Windows with WSL2, with at least 8GB RAM (16GB recommended once you reach the Kubernetes and vector store modules) and 15GB of free disk space. Docker Desktop (or Docker Engine) and Git installed and working before Lab 001. Python 3.11 or newer installed locally. No cloud account, no paid API key, and no real production system is required or touched at any point — every lab runs against a local, intentionally vulnerable target you control. If you've never run docker --version before, that's fine. Lab 001 walks you through the entire pre-flight check line by line. You're not expected to arrive as a security expert — you're expected to leave as one.

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