Cyber Threat Intelligence (CTI) is the collection and analysis of information about an adversary's motivations, intentions, and methods that is used to help organizations make faster and more informed security decisions.
Defining the requirements and goals of the intelligence operation based on the assets at risk.
Gathering raw data from diverse sources: technical logs, dark web monitoring, and human intelligence.
Converting raw data into a usable format for analysis (e.g., decrypting, translating, or indexing).
Evaluating the processed information to uncover patterns, identify threats, and predict future actions.
Distributing the finished intelligence to the relevant stakeholders in an actionable format.
Reviewing the effectiveness of the intelligence and adjusting the direction for future cycles.
Effective threat detection requires a multi-layered approach that moves beyond simple signature-based matching.
Technical artifacts like IP addresses, file hashes, and domain names that suggest a security breach has occurred.
Monitoring for unusual patterns in user or system behavior that deviate from established baselines.
Utilizing statistical modeling to identify outliers in network traffic or system performance that may indicate a zero-day exploit.
Intelligence is categorized by its intended use and the audience it serves:
High-level information about the threat landscape and adversary trends for executives and decision-makers.
Technical details about specific threats and TTPs (Tactics, Techniques, and Procedures) for security operations teams.