Use case
Intelligence source correlation
For threat intelligence analysts who work across multiple feeds and need to know which sources corroborate each other, which diverge, and where the unique coverage lives.
Who this is for
Cyber threat intelligence analysts, fusion analysts, and threat hunters who consume intelligence from multiple sources and need to fuse it into a coherent operational picture. The shared characteristic of this role is that the analyst is the correlation layer — but until now, has had to do that work mentally.
The operational pain
The analyst reads a report from one source, recognizes the campaign in another source, suspects a third source has corroborating indicators, and has to confirm all of this by hand. The cognitive load is high, the correlation is not durable (the next analyst has to redo it), and the audit trail is whatever was captured in a ticket. When stakeholders ask "how confident are we in this attribution?" the honest answer is "this analyst is confident" — not a portfolio-level confidence score.
How Intel Fusion helps
Intel Fusion makes source correlation a first-class object. For any indicator, technique, or adversary group, the platform surfaces which sources cover it, which agree on attribution, which differ, and what each source uniquely contributes. The overlap engine provides the data and the AI-assisted analyst surface provides the interrogation interface.
The analyst's question — "which sources have something to say about this campaign, and how do they agree?" — is now a query against the portfolio rather than a manual fan-out across vendor portals.
Expected outcomes
- Faster fusion of intelligence across multiple sources without manual reconciliation.
- Durable, portfolio-level correlation that survives analyst rotation.
- Source-level confidence on attribution rather than analyst-level confidence.
- Less time spent context-switching between vendor portals.
Relationship to ATT&CK
ATT&CK is the bridge that makes source correlation operational. When two sources differ on attribution but agree on observed techniques, the technique-level alignment is the signal that matters for defense. Intel Fusion treats the technique layer as the canonical correlation axis, with attribution and indicators as supporting dimensions. See ATT&CK technique mapping methodology for the mapping conventions.
Related
Treat source correlation as an asset, not a side effect.
Request a demo to see how Intel Fusion surfaces correlation across your CTI portfolio.