Introduction to Cyber Threat Intelligence

Cyber Threat Intelligence (CTI) involves collecting, processing, and analyzing data to understand and mitigate cyber threats. It provides insights into threat actors' tactics, techniques, and procedures (TTPs), helping organizations proactively protect against potential attacks.

CTI is categorized into strategic, tactical, operational, and technical intelligence. Strategic intelligence focuses on high-level trends, tactical on TTPs, operational on specific incidents, and technical on indicators of compromise (IOCs) such as IP addresses and malware hashes.

Organizations use threat intelligence platforms (TIPs) to share real-time threat data. By collaborating through Information Sharing and Analysis Centers (ISACs), companies can quickly disseminate and act on emerging threats, improving collective cybersecurity resilience.

Artificial Intelligence (AI) enhances CTI by automating data collection and analysis. Machine learning algorithms identify patterns and anomalies, predicting potential attacks. AI-driven CTI helps detect zero-day vulnerabilities faster than traditional methods.

CTI involves monitoring the dark web for threat actor activities. Surprisingly, only about 3% of dark web content is malicious. However, this small fraction holds critical information about planned attacks, making dark web monitoring crucial for proactive defense.

The global cybercrime economy is estimated to be worth over $1.5 trillion annually, rivaling the GDP of many countries and surpassing the combined revenue of several Fortune 500 companies.