Cyber Threat Exchange Solutions

See how Cyber Threat Exchange helps teams publish structured CTI, subscribe to specialist feeds, and operationalise intelligence in downstream workflows.

Overview

Cyber Threat Exchange solves two connected problems: publishing good CTI in a structured way, and consuming good CTI without drowning in generic feeds.

These solution pages explain where the platform fits for research teams, CTI consumers, and security teams that need structured intelligence to move cleanly into existing operations.

CTX is not positioned as a broad all-in-one intelligence vendor. It is a marketplace and delivery layer for structured intelligence feeds. That matters because many teams do not need more volume. They need better fit, clearer provenance, and a format that stays useful once the intelligence leaves the page where it was first published.

The solutions below reflect that model. One side is about helping researchers publish operational CTI in a way that can actually be reused. The other side is about helping security teams subscribe to the right feeds and move them into the workflows they already run.

• Publish Structured CTI Feeds

  Give researchers a straightforward way to deliver intelligence as structured STIX 2.1 instead of one-off documents.

• Subscribe to Specialist Intelligence

  Choose focused feeds that match your mission rather than relying on one broad stream with uneven signal.

• Operationalise CTI in Existing Tooling

  Move subscribed intelligence into TAXII, API, TIP, and automation workflows without rebuilding the data by hand.

Where CTX fits best

• Teams that want to subscribe to specialist intelligence rather than generic aggregated streams.
• Research groups that already produce strong CTI and want a cleaner delivery model than static reports alone.
• Security programs that need structured intelligence to flow into existing tools, not stay locked inside a reading interface.

Why the model works

Cyber Threat Exchange uses STIX 2.1 as the common structure between producer and consumer. That gives researchers a more operational output format and gives defenders a more reusable input format.

In practice, that means feed content can be explored in the web UI, queried programmatically, exported as bundles, and delivered through standards-based workflows without having to rebuild the intelligence each time it changes hands.