48 lines
No EOL
2 KiB
Markdown
48 lines
No EOL
2 KiB
Markdown
# About the connection between threat intelligence, analysis and modeling
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### 🔄 Interplay Overview
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|Concept|Role in Cybersecurity|How It Connects to the Others|
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|**Threat Intelligence**|Collects and delivers data on threats|Feeds raw data into analysis and modelling|
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|**Threat Analysis**|Interprets and assesses threat data|Uses intelligence to evaluate risks and impact|
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|**Threat Modelling**|Maps out potential attack paths and scenarios|Uses analysis to simulate and prioritize threats|
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---
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### 🧠 Threat Intelligence → 🔍 Threat Analysis
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- Threat intelligence provides **real-time data** on threat actors, malware, vulnerabilities, and attack trends.
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- Analysts use this data to **identify patterns**, **assess relevance**, and **prioritize risks** based on the organization's context.
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### 🔍 Threat Analysis → 🧩 Threat Modelling
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- Analysis helps determine **which threats are most likely and impactful**.
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- This guides threat modelling to focus on **realistic attack scenarios**, not just theoretical ones.
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### 🧩 Threat Modelling → 🧠 Threat Intelligence
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- Threat modelling reveals **gaps in visibility** or **missing threat data**.
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- These insights can refine intelligence collection efforts, ensuring more targeted and useful data.
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---
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### 🛡️ Real-World Example
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Imagine a financial institution:
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1. **Threat Intelligence** detects a surge in phishing campaigns targeting banking apps.
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2. **Threat Analysis** reveals that attackers are exploiting MFA fatigue and targeting mobile users.
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3. **Threat Modelling** simulates how these attacks could bypass defenses and identifies weak points in mobile app authentication.
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This leads to:
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- Updating detection rules.
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- Strengthening MFA protocols.
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- Training users on phishing awareness.
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---
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Together, these disciplines create a **feedback loop** that strengthens an organization's ability to **predict, prevent, and respond** to cyber threats.
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Would you like a visual diagram or a case study to illustrate this further? |