Threat Intelligence Pipelines

Stream and enrich data
without ingestion headaches

Power real-time ingestion and enrichment of pre-signal data without worrying about the plumbing.

Ingestion Backbone

Building threat detection,
not data management.

Datastreamer serves engineering teams constructing threat intelligence platforms that depend on volatile, unstructured, and fragmented external data sources. Rather than managing unreliable connectors and inconsistent formats, teams use Datastreamer as their ingestion backbone.

What It Powers

Threat and risk intelligence
platforms run on Datastreamer.

Ready-to-use components let complex multi-source data pipelines be assembled in minutes.

Normalize messy sources
Dark web posts, forums, news wires, and social feeds arrive in every format. Datastreamer unifies them into one consistent structure.
Enrich raw data with context
Add entities, translation, location, taxonomies, and risk vectors inline, so raw pre-signal data reaches analysts already tagged.
Real-time routing and tagging
Filter, branch, and route streams as they arrive, passing prioritized data to the parts of your platform that need it.
Reduce connection maintenance
Datastreamer maintains the connectors, so your team stops firefighting broken sources and format changes.
The Impact

Built for teams that need more
than scrapers and scripts.

6 weeks
Reduced build time per new source
$285k
Average annual benefit per customer
6,373
Average annual people hours saved
80M
Average monthly web content pieces consumed
7+
Average data sources per pipeline
38,000+
Ready-to-deploy capabilities available
Use Cases

How teams build with
Datastreamer.

Real pipelines running today across dark web, news, social, and structured feeds.

Dark Web → Entities
This threat intelligence platform ingests dark web and forum posts, unifying to a common structure, and tagging with entities and translation.
News + Social → Cyber Events
Powering a feature to highlight community-reported cyber events, by filtering news streams for geopolitical or cyber events.
Multiple Feeds → Unified Feed
Aggregating structured CVE feeds, newsletters, and blog releases together, for threat correlation.
Social → Location Tagging
This platform ingests social media data and tags with inferred location enrichment data to provide location context.
Source → Vector Scoring
Realtime tagging of data by reliability, recency, and custom risk vectors; passing for analyst prioritization.
Data Feeds → Taxonomies
This platform uses Datastreamer to ingest news wires and niche blogs, apply threat taxonomies, and filter for relevance.
FAQ

Frequently asked questions

What does Datastreamer do for a threat intelligence platform?

Datastreamer acts as the ingestion backbone that streams and enriches external data so your team builds threat detection instead of managing plumbing. It ingests volatile, unstructured sources such as dark web posts, forums, news wires, and social feeds, then normalizes them into one consistent structure. Enrichments like entities, translation, location, taxonomies, and risk vectors are applied inline, so pre-signal data reaches analysts already tagged.

How does data get in and out of the pipeline?

Data comes in through managed Data Streams that connect to web and social sources, and Datastreamer maintains those connectors so your team stops firefighting broken sources and format changes. As data arrives it is filtered, branched, and routed in real time to the parts of your platform that need it. Teams that want an advanced path can use Direct Integrations with their own provider API keys.

Why use Datastreamer instead of building ingestion in-house?

Building in-house means maintaining unreliable connectors, reconciling inconsistent formats, and firefighting sources that break. Datastreamer replaces that with ready-to-use components, so complex multi-source pipelines can be assembled in minutes and your engineers focus on detection logic. It is built for teams that need more than scrapers and scripts to keep multiple sources flowing.

How does pricing work?

Pricing is usage-based, so what you pay reflects the volume of data you ingest and enrich rather than a fixed license. Because every threat intelligence pipeline mixes different sources and enrichments, the right configuration depends on what you are building. Schedule a demo to talk with sales and design a pipeline scoped to your needs.

Let's Talk

Working with social or web data?

Datastreamer is the social and web data orchestration platform loved by intelligence software companies. Tell us what you are building and we will help you design the pipeline.