Udemy - Threat Hunting at Machine Speed - AI SecOps Bootcamp torrent

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.