FOR THREAT & RISK INTELLIGENCE PLATFORMS
Stream and enrich data without ingestion headaches
Power real-time ingestion and enrichment of pre-signal data without worrying about the plumbing.
Building threat detection, not data management
Datastreamer is what engineering teams use when building threat intelligence platforms that rely on volatile, unstructured, and often fragmented external data.
Instead of wrangling brittle connectors, proprietary feeds, and inconsistent formats, teams use Datastreamer as their ingestion backbone.
Threat & Risk intelligence platforms use Datastreamer to power their pipelines
- Normalize messy sources
Normalizing data across formats and languages (e.g., JSON feeds, HTML pages, PDFs, forum threads).
- Enrich raw data with context
Add geo, entity, language, threat category, and source metadata via built-in enrichment components or custom logic.
- Real-time routing and tagging
Filtering and tagging signals using custom rule logic or NLP enrichment. Egressing directly to your stack.
- Reduce connection maintenance
Eliminating the need to build and maintain brittle source-specific connectors.
Built for teams that need more than scrapers & scripts
Ready-to-use components allow complex multi-source data pipelines to be assembled in minutes. Deployment happens instantly and is fully managed, allowing low-latency, high volume processing.
Live applications by threat & risk intelligence platforms
Examples of some of the real usages by customers within their pipelines, powered by Datastreamer.
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
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
Why product and engineering teams use Datastreamer
Enable your team to ship faster, de-risk launches, or free up engineering resources. Benefit from speed to market, reducing disruptions, and having more flexibility in your product.
6 weeks
reduced build time per new source or enrichment connection
$285k
average annual benefit per Datastreamer customer
6,373
average annual “people hours” of pipeline work saved
80M
average pieces of web content consumed monthly per pipeline
7+
average datasources or enrichments used per pipeline
38,000+
ready-to-deploy capabilities available in the Datastreamer registry
Data pipelines for threat detection platforms
Example Pipeline – Threat Detection: This data pipeline feeds external web data into a threat intelligence platform that offers threat signals and analyst investigations for their customers.
FAQ’s
Yes. Datastreamer handles APIs, JSON, RSS, scraped HTML, PDFs, and more. It is capable of converting everything into a unified schema for downstream use.
Datastreamer does not offer insights as a service or product. Instead, our platform aids data teams who are building insights products/services by automating engineering processes in their workflow.
Datastreamer isn’t a data provider. It’s an infrastructure layer that helps you ingest and structure data from any source, including your own feeds or scrapers.
Typically, infrastructure maintenance drains time from technical personnel that could be used on other mission critical efforts.
Our experts wrote an article with self-assessment prompts to help you determine the ROI of using a pre-built solution compared to building pipelines in-house. Read it here -->
We abstract each source into a common schema, so your downstream systems don’t have to handle structural drift, missing fields, or format mismatches.
As part of the supply chain security requirements from both ourselves and our customers, we do not specify the names of any platform without explicit permission.
Select organizations in the top-10 of OSINT, supply chain security, geopolitical risk monitoring, executive protection monitoring, and data security industries use Datastreamer.
Datastreamer monitors source stability and versioning. When feeds change, we flag schema drift and offer automated fallbacks or alerts for quick remediation.
It’s fully managed. There is no infrastructure to deploy or maintain. We handle scaling, updates, and availability so your team can stay focused on building product.
