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Udemy - LLM and API Security - AI Penetration Testing Bootcamp [TorrentX]
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114 files — 1.1 GBLLM & 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 âš¡ Architect and deploy a full LLM application security range using FastAPI, Docker, and a mock LLM gateway from scratch. âš¡ Map LLM attack surfaces, trust boundaries, and OWASP LLM Top 10 risks using MITRE ATLAS-aligned threat models. âš¡ Execute and defend against direct and indirect prompt injection, system prompt leakage, and unsafe output rendering. âš¡ Implement API authentication, JWT validation, tenant isolation, and rate limiting to stop unbounded LLM abuse. âš¡ Build and secure a RAG pipeline: ingestion, embeddings, vector stores, metadata filtering, and retrieval poisoning defenses. âš¡ Design least-privilege agentic tool systems with approval gates, sandboxing, and Model Context Protocol security reviews. âš¡ Automate AI red teaming with garak, PyRIT, and custom fuzzing harnesses wired into CI-compatible security gates. âš¡ Harden the software supply chain with Trivy scans, Syft SBOMs, Grype checks, and Cosign image signing plans. âš¡ Deploy hardened workloads to Kubernetes with kind, admission policies, and SPIFFE/SPIRE workload identity design. âš¡ Engineer observability, incident response, and cost-abuse controls, then ship a sovereign, audit-ready capstone system. Requirements â— 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.
114 files
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1 - Introduction
1. Introduction.mp4
10 - Module 9 Observability, Incident Response, Reliability, and Cost Controls
100. Lab 090 Operations and Resilience Milestone.html
90. Observability, Incident Response, Reliability, and Cost Controls.mp4
91. Lab 081 Add Structured Security Logs.html
92. Lab 082 Add OpenTelemetry Trace Design.html
93. Lab 083 Define Metrics for LLM Security Operations.html
94. Lab 084 Build a Cost Abuse Test.html
95. Lab 085 Create Alert Rules for Security Events.html
96. Lab 086 Build an LLM Security Incident Playbook.html
97. Lab 087 Add Reliability Controls for Model Gateway Failures.html
98. Lab 088 Perform a Local Chaos Test.html
99. Lab 089 Test Backup and Restore of Lab Evidence.html
11 - Module 10 Sovereign Deployment, Decentralized Research, and Capstone
101. Sovereign Deployment, Decentralized Research, and Capstone.mp4
102. Lab 091 Design a Sovereign Local Inference Architecture.html
103. Lab 092 Add Egress Control Design.html
104. Lab 093 Build a Compliance Evidence Matrix.html
105. Lab 094 Package Reproducible Research Evidence.html
106. Lab 095 Add Tamper-Evident Checksums.html
107. Lab 096 Build a Decentralized Evidence Sharing Plan.html
108. Lab 097 Run a Full Release Security Gate.html
109. Lab 098 Conduct a Board-Level Risk Brief.html
110. Lab 099 Capstone Dry Run and Gap Closure.html
111. Lab 100 Sovereign LLM Application Security Capstone.html
12 - Conclusion
112. Conclusion.mp4
2 - Module 1 Foundations, Local Environment Setup, and Initial Success
10. Lab 008 Write the First Security Regression Test.html
11. Lab 009 Patch the First Prompt Disclosure Weakness.html
12. Lab 010 Initial Success Milestone Produce a Reproducible Finding Report.html
2. Foundations, Local Environment Setup, and Initial Success.mp4
3. Lab 001 Build the Authorized Local LLM Security Range.html
4. Lab 002 Create the Lab Control Script.html
5. Lab 003 Containerize a Minimal FastAPI LLM Gateway.html
6. Lab 004 Add Docker Compose for Reproducible Startup.html
7. Lab 005 Add a Local Mock LLM Adapter.html
8. Lab 006 Build the First Vulnerable Chat Endpoint.html
9. Lab 007 Execute the First Controlled Finding.html
3 - Module 2 LLM Attack Surface and Threat Modeling
13. LLM Attack Surface and Threat Modeling.mp4
14. Lab 011 Map the LLM Application Data Flow.html
15. Lab 012 Build an OWASP LLM Risk Register.html
16. Lab 013 Map MITRE ATLAS Techniques to the Lab Range.html
17. Lab 014 Create an OpenAPI Contract for the Gateway.html
18. Lab 015 Perform API Surface Enumeration.html
19. Lab 016 Define Abuse Cases for LLM APIs.html
20. Lab 017 Create a Threat Model with Trust Boundaries.html
21. Lab 018 Prioritize Risks with Likelihood and Impact.html
22. Lab 019 Build a Security Test Plan.html
23. Lab 020 Architecture Review Milestone.html
4 - Module 3 Prompt Injection, Output Handling, and Data Exposure
24. Prompt Injection, Output Handling, and Data Exposure.mp4
25. Lab 021 Test Direct Prompt Injection Controls.html
26. Lab 022 Test Indirect Prompt Injection with Retrieved Text.html
27. Lab 023 Add Output Filtering as Application Code.html
28. Lab 024 Enforce Structured JSON Output.html
29. Lab 025 Test Unsafe Markdown and HTML Output Handling.html
30. Lab 026 Add Input Length and Character Policy.html
31. Lab 027 Test PII Disclosure with Synthetic Data.html
32. Lab 028 Add PII Redaction to Logs.html
33. Lab 029 Test Model Refusal Consistency.html
34. Lab 030 Prompt and Output Security Milestone.html
5 - Module 4 API Security, Identity, and Authorization for LLM Apps
35. API Security, Identity, and Authorization for LLM Apps.mp4
36. Lab 031 Add API Key Authentication for Local Testing.html
37. Lab 032 Test Missing and Invalid Credential Paths.html
38. Lab 033 Move Secrets to Environment Variables.html
39. Lab 034 Add JWT Validation Concept with Local Keys.html
40. Lab 035 Design Tenant Isolation Rules.html
41. Lab 036 Add OpenAPI Security Schemes.html
42. Lab 037 Add Rate Limiting Design for Unbounded Consumption.html
43. Lab 038 Add Request and Response Audit IDs.html
44. Lab 039 Validate Authorization Failure Messages.html
45. Lab 040 API Security and Identity Milestone.html
6 - Module 5 RAG, Embeddings, Vector Stores, and Data Governance
46. RAG, Embeddings, Vector Stores, and Data Governance.mp4
47. Lab 041 Build a Local Document Ingestion Pipeline.html
48. Lab 042 Add Chunk Metadata and Source Tracking.html
49. Lab 043 Deploy a Local Vector Store.html
50. Lab 044 Create a Deterministic Toy Embedding Function.html
51. Lab 045 Test Metadata Filtering for Tenant Isolation.html
52. Lab 046 Simulate Retrieval Poisoning.html
53. Lab 047 Add Retrieval Source Allowlisting.html
54. Lab 048 Test Data Deletion and Retention.html
55. Lab 049 Add Retrieval Audit Evidence.html
56. Lab 050 RAG Security and Governance Milestone.html
7 - Module 6 Agentic Systems, Tools, MCP, and Excessive Agency
57. Agentic Systems, Tools, MCP, and Excessive Agency.mp4
58. Lab 051 Build a Safe Local Tool Registry.html
59. Lab 052 Add Tool Schema Validation.html
60. Lab 053 Enforce Least Privilege for Tool Calls.html
61. Lab 054 Add Human Approval for Medium-Risk Actions.html
62. Lab 055 Simulate Tool Poisoning with Benign Payloads.html
63. Lab 056 Model Context Protocol Security Review.html
64. Lab 057 Add Sandboxed Tool Execution Design.html
65. Lab 058 Test Agent Memory Contamination.html
66. Lab 059 Add Agent Action Audit Trails.html
67. Lab 060 Agentic Security Milestone.html
8 - Module 7 Automated Red Teaming, Fuzzing, and Evaluation Pipelines
68. Automated Red Teaming, Fuzzing, and Evaluation Pipelines.mp4
69. Lab 061 Install garak in an Isolated Environment.html
70. Lab 062 Create a Local garak Target Plan.html
71. Lab 063 Install PyRIT for Controlled AI Risk Testing.html
72. Lab 064 Build a Custom Prompt Fuzzing Harness.html
73. Lab 065 Add Scoring for Security Test Outcomes.html
74. Lab 066 Create a Regression Corpus.html
75. Lab 067 Add CI-Compatible Security Test Command.html
76. Lab 068 Build an Evaluation Dashboard Artifact.html
77. Lab 069 Calibrate False Positives and False Negatives.html
78. Lab 070 Automated Red Teaming Milestone.html
9 - Module 8 Platform Security, Supply Chain, and CI CD
79. Platform Security, Supply Chain, and CI CD.mp4
80. Lab 071 Scan the Container Image with Trivy.html
81. Lab 072 Generate an SBOM with Syft.html
82. Lab 073 Scan the SBOM with Grype.html
83. Lab 074 Sign the Container Image with Cosign.html
84. Lab 075 Define SLSA-Informed Build Controls.html
85. Lab 076 Deploy to Local Kubernetes with kind.html
86. Lab 077 Add Kubernetes Manifests for the Gateway.html
87. Lab 078 Enforce Kubernetes Policy with Kyverno or Gatekeeper.html
88. Lab 079 Design Workload Identity with SPIFFE SPIRE.html
89. Lab 080 Platform and Supply Chain Milestone.html
Bonus Resources.txt
Details
Categoryother
TypeOther
LanguageEnglish
Total size1.1 GB
Uploaded byTorrentX
Downloads0
Date uploaded3 weeks ago
Seeders4
Leechers6
Files114
InfohashB520B196247B7D6D9109DE5AF84CEE92FEE06763
HealthFair (40%)
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