Threat Intelligence Platform

$49

Aggregate, analyze, and act on threat intelligence: feed ingestion, IOC normalization, scoring, and integration with detection tooling.

📁 9 files

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📁 File Structure 9 files

threat-intel-platform/ ├── LICENSE ├── README.md ├── free-sample.zip ├── guide/ │ ├── 01-threat-intelligence-fundamentals.md │ ├── 02-feed-ingestion-and-stix-taxii-integratio.md │ ├── 03-indicator-scoring-and-prioritization.md │ ├── 04-enrichment-pipelines.md │ └── 05-operationalization-and-automated-respons.md └── index.html

📖 Documentation Preview README excerpt

Threat Intelligence Platform

Aggregate, Analyze, and Act on Threat Intelligence

Comprehensive platform for consuming and operationalizing threat intel feeds.

What's Included

Guide Chapters

Chapter 1: Threat Intelligence Fundamentals
Chapter 2: Feed Ingestion and STIX/TAXII Integration
Chapter 3: Indicator Scoring and Prioritization
Chapter 4: Enrichment Pipelines
Chapter 5: Operationalization and Automated Response

Features

STIX 2.1 data model with custom extensions
Multi-feed ingestion: TAXII, CSV, JSON, MISP
Confidence and severity scoring engine
Enrichment via WHOIS, DNS, GeoIP, sandbox APIs
Automated IOC extraction from unstructured reports
Alert routing to SIEM, ticketing, Slack/Teams
Feed health monitoring and staleness detection

Technical Stack

Python, STIX/TAXII, MISP, SIEM

Quick Start

1. Start with the interactive reader (index.html) or browse the guide chapters directly

2. Chapter 1 provides a free preview -- explore the full product after purchase

3. Each chapter includes code examples, configuration snippets, and best practices

4. Use the search and theme toggle in the reader to customize your experience

Requirements

No specialized software required for reading the guides
Code examples include setup instructions within each chapter
Python 3.8+ recommended for running example scripts
A modern web browser for the interactive reader

File Structure


threat-intel-platform/
+-- README.md           # This file
+-- LICENSE             # MIT License
+-- index.html          # Interactive reader (free preview)
+-- free-sample.zip     # Free sample with Chapter 1
+-- guide/
    +-- 01-*.md through 05-*.md

... continues with setup instructions, usage examples, and more.

📄 Content Sample guide/01-threat-intelligence-fundamentals.md

Chapter 1: Threat Intelligence Fundamentals

Duration: 45-60 minutes | Difficulty: Intermediate | Prerequisites: Basic familiarity with Python, STIX/TAXII, MISP, SIEM

Learning Objectives

By the end of this chapter, you will be able to:

1. Define the core architectural patterns and principles

2. Design a reference architecture aligned to business requirements

3. Identify the appropriate building blocks for each layer

4. Evaluate trade-offs between different design approaches

5. Create an implementation roadmap from architecture to production

6. Apply Python patterns to production scenarios

1. Understanding the Fundamentals

Before diving into implementation, it is essential to establish a solid conceptual foundation. Threat Intelligence Fundamentals forms a critical pillar of the Threat Intelligence Platform framework, and getting the fundamentals right determines the success of everything built on top.

1.1 Core Concepts

The core concepts underlying this chapter are rooted in established industry patterns and best practices. Each concept builds on the previous one, creating a coherent framework for reasoning about complex systems.

Concept	Description	Application
Foundation Layer	The core primitives and building blocks	Establish base capabilities for all higher-level patterns
Integration Layer	Interfaces and connectors between components	Define clear boundaries and contracts between subsystems
Orchestration Layer	Coordination and workflow management	Manage multi-step processes with error handling
Observability Layer	Monitoring, logging, and tracing	Provide visibility into system behavior and performance
Governance Layer	Policies, controls, and compliance	Ensure consistent operation within organizational guardrails

1.2 Why This Matters

In production environments, getting this wrong has measurable consequences. Teams that implement these patterns correctly experience:

Reduced incident frequency by 40-60% through proactive detection
Faster mean-time-to-resolution through structured procedures
Higher team confidence through documented and tested runbooks
Lower operational overhead through automation and standardization

2. Implementation Walkthrough

... and much more in the full download.

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