Threat Intelligence Aggregator

What Is Threat Intelligence Aggregation

Threat intelligence aggregation collects, normalizes, and correlates threat data from multiple sources — open-source feeds, commercial providers, government advisories, industry sharing groups (ISACs), and internal security tools — into a unified view of the threat landscape. Individual threat feeds provide fragments of the picture; aggregation assembles them into actionable intelligence.

Security teams are overwhelmed by the volume of threat data available. Thousands of indicators of compromise (IOCs), vulnerability advisories, and threat reports are published daily. Without aggregation and correlation, analysts cannot distinguish signal from noise or prioritize the threats most relevant to their organization.

Threat Intelligence Sources

Common Use Cases

• IOC enrichment: Aggregate multiple intelligence sources to enrich indicators with context — is this IP associated with known malware families? What threat actor uses this domain?
• Threat prioritization: Correlate external threat intelligence with your internal asset inventory to prioritize threats that actually affect your technology stack
• Detection engineering: Feed aggregated IOCs into SIEM, firewall, and EDR systems to create automated detection rules
• Threat hunting: Use aggregated intelligence to develop hypotheses about threats that may be present in your environment but have not triggered alerts
• Executive briefings: Synthesize intelligence from multiple sources into concise threat landscape reports for leadership

Best Practices

1. Quality over quantity — More feeds do not automatically mean better intelligence. Curate sources based on relevance to your industry, technology stack, and threat profile.
2. Normalize indicator formats — Different sources use different formats for IPs, domains, hashes, and URLs. Normalize to STIX/TAXII or a consistent internal format before correlation.
3. Apply confidence scoring — Not all intelligence is equally reliable. Assign confidence scores based on source reliability, corroboration, and age. Don't block traffic based on a single low-confidence indicator.
4. Automate ingestion — Manual copy-paste of IOCs does not scale. Use TAXII feeds, API integrations, and SOAR playbooks to automatically ingest, correlate, and distribute intelligence.
5. Measure intelligence value — Track metrics like mean time to detect, false positive rates, and actionable intelligence percentage. If a feed produces no actionable alerts, evaluate whether it's worth maintaining.