| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction | |||
| 1 - Introduction.mp4 | 72.1 MB | ||
| 10 - Conclusion | |||
| 110 - Conclusion.mp4 | 84.3 MB | ||
| 2 - Module 1 Foundations, Local Environment Setup, and Initial Success | |||
| 10 - Lab 8 — Wrap Detection in a Test.html | 33 KB | ||
| 11 - Lab 9 — Create the Initial Success Dashboard File.html | 26.9 KB | ||
| 12 - Lab 10 — Initial Success Milestone Alert-to-Evidence Mini Pipeline.html | 31.4 KB | ||
| 2 - Foundations, Local Environment Setup, and Initial Success.mp4 | 99.8 MB | ||
| 3 - Lab 1 — Build the SecOps Engineering Workstation.html | 27.8 KB | ||
| 3 - Module 2 Telemetry and Data Engineering for Machine-Speed Detection | |||
| 13 - Telemetry and Data Engineering for Machine-Speed Detection.mp4 | 110.8 MB | ||
| 14 - Lab 11 — Add Schema Validation with Pydantic.html | 28.6 KB | ||
| 15 - Lab 12 — Build an Event Replay Harness.html | 32.5 KB | ||
| 16 - Lab 13 — Add IP Reputation Enrichment from a Local Feed.html | 33.2 KB | ||
| 17 - Lab 14 — Add Geo and ASN Placeholder Enrichment.html | 29.4 KB | ||
| 18 - Lab 15 — Add Event Deduplication.html | 30.8 KB | ||
| 19 - Lab 16 — Create a Retention and Evidence Folder Policy.html | 31.1 KB | ||
| 20 - Lab 17 — Add .gitignore for Safe Evidence Handling.html | 28.7 KB | ||
| 21 - Lab 18 — Build an OpenSearch Bulk Export File.html | 26.2 KB | ||
| 22 - Lab 19 — Add Pipeline Metrics.html | 29.6 KB | ||
| 23 - Lab 20 — Data Engineering Milestone Replayable Telemetry Pipeline.html | 33.5 KB | ||
| 4 - Module 3 Detection Engineering and Threat Hunting Logic | |||
| 24 - Detection Engineering and Threat Hunting Logic.mp4 | 90.6 MB | ||
| 25 - Lab 21 — Write a Sigma-Style Detection Rule.html | 35.1 KB | ||
| 26 - Lab 22 — Convert Sigma-Style YAML into Local Python Logic.html | 29.4 KB | ||
| 27 - Lab 23 — Add Detection Unit Tests for Sigma Logic.html | 33.5 KB | ||
| 28 - Lab 24 — Map Detections to MITRE ATT&CK.html | 40.2 KB | ||
| 29 - Lab 25 — Build an ATT&CK Coverage Report.html | 35.1 KB | ||
| 30 - Lab 26 — Add YARA for File-Based Malware Pattern Practice.html | 28.4 KB | ||
| 31 - Lab 27 — Build a YARA Scan Wrapper.html | 29.5 KB | ||
| 32 - Lab 28 — Add Suricata-Style Network Detection Practice.html | 31.2 KB | ||
| 33 - Lab 29 — Write an osquery-Style Hunt.html | 33.5 KB | ||
| 34 - Lab 30 — Run the osquery-Style Hunt Against CSV Data.html | 29.8 KB | ||
| 35 - Lab 31 — Create a Threat Hunting Hypothesis Template.html | 36.1 KB | ||
| 36 - Lab 32 — Build a Brute-Force Hunt.html | 25.8 KB | ||
| 37 - Lab 33 — Implement Time-Window Detection Logic.html | 29.9 KB | ||
| 38 - Lab 34 — Detection Engineering Milestone Tested Multi-Signal Hunt Pack.html | 32.4 KB | ||
| 5 - Module 4 AI-Assisted Hunting and Evidence Automation | |||
| 39 - AI-Assisted Hunting and Evidence Automation.mp4 | 86.3 MB | ||
| 40 - Lab 35 — Create a Local AI Triage Prompt Template.html | 32.4 KB | ||
| 41 - Lab 36 — Build an Evidence Packet for AI Review.html | 28.1 KB | ||
| 42 - Lab 37 — Add a Deterministic AI Output Schema.html | 30 KB | ||
| 43 - Lab 38 — Simulate an AI Triage Response.html | 33.1 KB | ||
| 44 - Lab 39 — Validate AI Triage Output.html | 31.8 KB | ||
| 45 - Lab 40 — Build Retrieval by Simple Keyword Index.html | 39.5 KB | ||
| 46 - Lab 41 — Generate Suggested Hunt Queries from Evidence.html | 27.1 KB | ||
| 47 - Lab 42 — Add Query Safety Classification.html | 35.2 KB | ||
| 48 - Lab 43 — Build a Lightweight Local Embedding Stub.html | 31.1 KB | ||
| 49 - Lab 44 — Score Alert Priority with Simple Features.html | 37.8 KB | ||
| 50 - Lab 45 — Add an AI Hallucination Guard.html | 33.5 KB | ||
| 51 - Lab 46 — Build a Human Approval Gate for AI Recommendations.html | 35.9 KB | ||
| 52 - Lab 47 — Evaluate AI Query Suggestions Against Expected Answers.html | 36.4 KB | ||
| 53 - Lab 48 — Add Analyst Feedback Capture.html | 35.8 KB | ||
| 54 - Lab 49 — AI-Assisted Hunting Milestone.html | 39.2 KB | ||
| 6 - Module 5 SOAR, Case Management, and Automated Response | |||
| 55 - SOAR, Case Management, and Automated Response.mp4 | 93.2 MB | ||
| 56 - Lab 50 — Model a SOAR Playbook in YAML.html | 34.3 KB | ||
| 57 - Lab 51 — Build a Playbook Runner Skeleton.html | 29.5 KB | ||
| 58 - Lab 52 — Add Case Creation from Alerts.html | 30.1 KB | ||
| 59 - Lab 53 — Add Cortex-Style Observable Enrichment.html | 27 KB | ||
| 60 - Lab 54 — Attach Analyzer Results to a Case.html | 27.6 KB | ||
| 61 - Lab 55 — Build a Notification Payload.html | 32.5 KB | ||
| 62 - Lab 56 — Create a Response Action Registry.html | 27 KB | ||
| 63 - Lab 57 — Simulate Safe Artifact Collection.html | 31.3 KB | ||
| 64 - Lab 58 — Add Approval Enforcement for Response Actions.html | 41.4 KB | ||
| 65 - Lab 59 — Simulate IP Blocklist Generation.html | 36.1 KB | ||
| 66 - Lab 60 — Add Response Rollback Artifact.html | 28.9 KB | ||
| 67 - Lab 61 — Build End-to-End SOAR Dry Run.html | 26.4 KB | ||
| 68 - Lab 62 — Add SOAR Run Logs.html | 41.1 KB | ||
| 69 - Lab 63 — Add SOAR Reliability Metrics.html | 30.2 KB | ||
| 7 - Module 6 Production SecOps Platform Engineering | |||
| 71 - Production SecOps Platform Engineering.mp4 | 108.8 MB | ||
| 72 - Lab 65 — Containerize the SecOps API Skeleton.html | 33 KB | ||
| 73 - Lab 66 — Expose Health API with Compose.html | 28.1 KB | ||
| 74 - Lab 67 — Add an Alert Ingestion Endpoint.html | 30.9 KB | ||
| 75 - Lab 68 — Add API Input Validation Tests.html | 26.2 KB | ||
| 76 - Lab 69 — Create Kubernetes Kind Cluster.html | 44 KB | ||
| 77 - Lab 70 — Deploy API to Kubernetes.html | 25.1 KB | ||
| 78 - Lab 71 — Add Kubernetes Service and Port Forward.html | 29.1 KB | ||
| 79 - Lab 72 — Add Kubernetes ConfigMap for Runtime Settings.html | 43.7 KB | ||
| 8 - Module 7 Security, Reliability, Governance, and Compliance | |||
| 86 - Security, Reliability, Governance, and Compliance.mp4 | 75.3 MB | ||
| 87 - Lab 79 — Add Role-Based Access Model.html | 54.5 KB | ||
| 88 - Lab 80 — Add Policy-as-Code with Rego-Style Rules.html | 31.8 KB | ||
| 89 - Lab 81 — Test Policy Decisions.html | 34.5 KB | ||
| 9 - Module 8 Sovereign Deployment, Decentralized Research, and Capstone | |||
| 100 - Lab 91 — Design a Sovereign Deployment Topology.html | 33.6 KB | ||
| 101 - Lab 92 — Add Data Classification Labels.html | 31.9 KB | ||
| 102 - Lab 93 — Build a Redaction Pipeline.html | 36.3 KB | ||
| 103 - Lab 94 — Create Federated Indicator Sharing Bundle.html | 32.5 KB | ||
| 104 - Lab 95 — Add Indicator Expiry and Decay.html | 35.1 KB | ||
| 105 - Lab 96 — Add Decentralized Research Notes with Provenance.html | 35.4 KB | ||
| 106 - Lab 97 — Package the Platform for Offline Transfer.html | 35.3 KB | ||
| 107 - Lab 98 — Create Capstone Architecture Decision Records.html | 39 KB | ||
| 108 - Lab 99 — Run Capstone Readiness Review.html | 38.2 KB | ||
| 109 - Lab 100 — Capstone Sovereign AI-Powered SecOps and Automated Response Platform.html | 52.2 KB | ||
| 99 - Sovereign Deployment, Decentralized Research, and Capstone.mp4 | 110.7 MB | ||
| 90 - Lab 82 — Generate an SBOM Placeholder.html | 32.2 KB | ||
| 91 - Lab 83 — Add Container Image Scan Workflow Placeholder.html | 32.3 KB | ||
| 92 - Lab 84 — Add Signed Release Notes Template.html | 36.3 KB | ||
| 93 - Lab 85 — Create GDPR Breach Triage Checklist.html | 37.7 KB | ||
| 94 - Lab 86 — Create DORA Operational Resilience Evidence Pack.html | 44.5 KB | ||
| 95 - Lab 87 — Create AI Risk Register.html | 37.1 KB | ||
| 96 - Lab 88 — Add Chaos Test for API Restart.html | 31.8 KB | ||
| 97 - Lab 89 — Add Incident Postmortem Template.html | 39.6 KB | ||
| 98 - Lab 90 — Governance and Reliability Milestone.html | 44.8 KB | ||
| 80 - Lab 73 — Add Kubernetes Secret Handling.html | 34 KB | ||
| 81 - Lab 74 — Add OpenTelemetry-Style Trace IDs.html | 39.9 KB | ||
| 82 - Lab 75 — Add Readiness and Liveness Endpoints.html | 34.1 KB | ||
| 83 - Lab 76 — Add Load Testing for Alert Ingestion.html | 36.4 KB | ||
| 84 - Lab 77 — Add Backup and Restore for Evidence.html | 33.8 KB | ||
| 85 - Lab 78 — Production Platform Milestone.html | 44.8 KB | ||
| 70 - Lab 64 — SOAR Milestone Governed Alert-to-Response Dry Run.html | 33.9 KB | ||
| 4 - Lab 2 — Create the Local Docker Compose Backbone.html | 25.3 KB | ||
| 5 - Lab 3 — Add Makefile-Based Lab Automation.html | 33.1 KB | ||
| 6 - Lab 4 — Create a Python Virtual Environment for SecOps Scripts.html | 28.5 KB | ||
| 7 - Lab 5 — Generate First Synthetic Security Events.html | 30.6 KB | ||
| 8 - Lab 6 — Normalize Events into a Common Schema.html | 31.7 KB | ||
| 9 - Lab 7 — Build the First Rule-Based Detector.html | 24.1 KB |
Threat Hunting at Machine Speed: AI SecOps Bootcamp
https://WebToolTip.com
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 21h 39m | Size: 935.2 MB
From manual alert triage to a tested, governed pipeline — detection-as-code, evidence-bound AI, and gated SOAR.
What you'll learn
Engineer a replayable telemetry pipeline
Build detection-as-code across signal types
Govern AI in the SOC with real guardrails
Automate response the safe way
Operate SecOps like a production system
Prove reliability with metrics
Implement governance as code
Document compliance readiness
Design for sovereignty and federation
Deliver a capstone-grade Sovereign AI-Powered SecOps and Automated Response Platform
Requirements
Knowledge: Basic terminal comfort (navigating folders, running commands). No prior SOC, SIEM, or SOAR experience required — Module 1 builds everything from a bare workstation up. Basic Python reading ability helps (every lab script is short and explained) but isn't required. No prior Kubernetes, Docker, or CI/CD experience needed — Module 6 builds those skills from a local Kind cluster and Docker Compose. Software (all free/open-source): Docker and Docker Compose, Git, Python 3.12, make. kubectl and kind for the Module 6 Kubernetes labs — a lightweight local cluster, not a cloud account. Python packages installed via pip in Lab 4: FastAPI, Uvicorn, Pydantic, PyYAML, requests, pandas, scikit-learn, pytest — all free and open-source. Optional: YARA binary for Module 3 (a grep-based fallback is provided if you'd rather skip the install). Hardware: 10GB+ free disk space, 8GB+ RAM recommended (Docker containers plus an optional local Kubernetes cluster running concurrently). No cloud account, no real production SIEM, no real personal or customer data, and no paid AI API required — every lab uses synthetic telemetry and deterministic AI stubs so the entire AI-assisted workflow works without spending a cent on model calls.
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| 886.7 MB | freecoursewb | 1 day | 11 | 15 | |
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Udemy - Build a Network Threat Hunting Project with Ansible and Python Posted by
freecoursewb in Other
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