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Threat Intelligence Manual
  • Introduction
  • Contents
  • Module 1: Introduction to Cyber Threat Intelligence
    • Definition and Importance of CTI
    • Threat Intelligence Lifecycle
    • Key Concepts: Indicators, TTPs, IOCs and More
    • Role of CTI in Cybersecurity
  • Module 2: Data Sources and Collection
    • Open Source Intelligence (OSINT) Sources
    • Technical Intelligence (TECHINT) Sources
    • Human Intelligence (HUMINT) Sources
    • Data Collection Techniques and Tools
    • Legal and Ethical Considerations
  • Module 3: Data Processing and Analysis
    • Structuring and Enriching Threat Intelligence Data
    • Indicator Analysis Techniques
    • Malware Analysis Fundamentals
    • Network and Host Artifact Analysis
    • Data Mining and Machine Learning for Threat Analysis
  • Module 4: Threat Modeling and Actor Profiling
    • Adversary Models and Frameworks
    • Tactics, Techniques and Procedures
    • Threat Actor Groups and Motivations
    • Attack Vector Analysis
  • Module 5: Cyber Threat Intelligence Analytics
    • Structured and Unstructured Data Analysis
    • Statistical and Visualization Techniques
    • Reporting and Presentation of Findings
  • Module 6: Threat Intelligence Sharing
    • Standards and Frameworks
    • Threat Intelligence Platforms and Tools
    • Information Sharing Communities
    • Trust Groups and Sharing Protocols
  • Module 7: Building a CTI Program
    • Developing a CTI Strategy and Roadmap
    • Roles and Responsibilities in a CTI Team
    • Integration with Security Operations
    • Measuring CTI Effectiveness and Metrics
  • Module 8: Operationalizing CTI
    • CTI Program Maturity Assessment
    • CTI Workflow Automation and Orchestration
    • CTI Playbooks and Runbooks
    • CTI-driven Threat Hunting Exercises
    • CTI Integration with Security Tools and Systems
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  1. Module 1: Introduction to Cyber Threat Intelligence

Threat Intelligence Lifecycle

The realm of cyber threat intelligence has rapidly evolved from an emerging practice to a critical capability for organizations looking to stay ahead of aggressive and sophisticated cyber threats. At its core, cyber threat intelligence aims to provide security teams with relevant and timely insights about potential threats, derived through the collection and analysis of diverse data sources.

The cyber threat intelligence process consists of a continuous cycle of planning, collection, processing, analysis, and dissemination activities. This general intelligence cycle model has its origins in military and national security contexts.

Let's break down each of these stages:

Planning and Direction

Before diving into intelligence gathering, organizations must clearly define their intelligence requirements based on priorities, risk profile, and defensive gaps. Key sources of cyber threat data are then identified and prioritized to meet these requirements.

Collection

This stage involves the acquisition of data from multiple sources, including technical sources like network traffic, logs, and honeypots as well as open source intelligence (OSINT) and human intelligence (HUMINT). Leveraging a diverse range of sources provides a more complete view of the threat landscape.

Processing and Analysis

The collected data is processed through techniques like data fusion, indicator enrichment, and correlation to connect disparate pieces of information. This processed data enables deeper analysis, such as tactical malware analysis, vulnerability assessment, and strategic threat actor profiling.

Analysis and Production

The processed data is rigorously analyzed to extract timely and actionable intelligence. This includes tactical analysis to investigate specific attacks or incidents, as well as strategic analysis to assess long-term trends, motivations, and capabilities of threat actor groups.

Dissemination

The final intelligence products are packaged in relevant reporting formats and securely disseminated to stakeholders who can take action on the intelligence. Platforms and standards like STIX/TAXII facilitate broader sharing within trusted communities.

Feedback

Consumer feedback is incorporated to refine intelligence requirements, identify gaps, and continuously improve the quality and relevance of threat intelligence outputs as part of an iterative intelligence cycle.

This cyclical process ensures threat intelligence programs can adapt to the evolving landscape and provide foresight into emerging threats that may impact an organization.

Putting it all Together

Given the complexities of the cyber threat intelligence process, this guide will be structured around the core stages outlined above. This will allow readers to build a solid understanding of each stage, as well as the tools, techniques, and real-world applications involved.

Stay tuned as we explore each facet of the intelligence cycle and provide practical guidance for implementing and optimizing threat intelligence.

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Last updated 1 year ago