Threat Intelligence
Evidence-based knowledge about existing or emerging cyber threats, used to inform and improve security decisions.
Definition
Threat intelligence (TI) is the collection, analysis, and contextualization of information about threats targeting an organization or sector. It encompasses data about threat actors, their tactics, techniques, and procedures (TTPs), indicators of compromise, and the infrastructure they operate. Intelligence is produced at strategic, operational, and tactical levels to serve different audiences — from executive risk decisions to analyst-level detections.
Why It Matters
Raw security data is not intelligence. Threat intelligence adds context — who is attacking, how, why, and what assets are at risk — enabling proactive defense rather than reactive response. Organizations that consume and produce threat intelligence can prioritize vulnerabilities relevant to their sector, anticipate attacker behavior based on known TTPs, and share findings with the broader community to improve collective defense.
How It Works
The intelligence cycle involves direction (defining requirements), collection (gathering data from open sources, commercial feeds, dark web monitoring, honeypots, and ISACs), processing (normalizing and deduplicating), analysis (adding context and attribution), dissemination (sharing in structured formats such as STIX/TAXII or MISP), and feedback. Intelligence is classified by type: strategic (trends, nation-state activity), operational (specific campaigns), and tactical (IOCs, signatures).
DFIR Platform
IOC Enrichment API
DFIR Lab publishes weekly threat intelligence briefings at https://dfir-lab.ch/intel-briefings and maintains daily-refreshed threat actor profiles covering TTPs, targeted sectors, and associated infrastructure. The platform's IOC Enrichment API aggregates 14+ threat intelligence sources, delivering operational and tactical intelligence on IPs, domains, hashes, and URLs directly via API
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