Step 1
Ingest
Collect internet-scale signals from dark, deep, and surface web sources.


Dendrite Technologies
Proprietary dark, deep, and surface web datasets, pre-correlated for analysts, security teams, and AI-enabled investigation workflows.
Platform thesis
As a data solutions company, Dendrite builds proprietary data sources from novel internet signals to power real-time defense, threat intelligence, and the next generation of Agentic AI solutions. By combining live, historical & time-series datasets with our automated link & correlation analysis, we transform massive internet signal volumes into high-fidelity context.
Current capabilities
Dark Web Intelligence
Active collection, characterization, and correlation of dark web services, users, communication hubs, and historical records.
Command & Control Intelligence
Perpetual enumeration, fingerprinting, and monitoring of C2 infrastructure connected to malware campaigns and threat actor activity.
Cryptocurrency Data Intelligence
Cryptocurrency data correlated to wallets, services, dark web activity, infrastructure, and investigation-ready entity context.
Identity Exposure Intelligence
A homogenized breach and credential intelligence set correlated to infrastructure, services, users, and organizational risk context.
Training and Grounding Data
Proprietary, high-confidence security datasets built for grounding, RAG, GraphRAG, tool use, model training, and verticalized AI workflows.
Collaborative Intelligence Workspace
A graphical workspace for exploring Dendrite and supported third-party data, coordinating investigations, and sharing intelligence.
Workflow
Step 1
Collect internet-scale signals from dark, deep, and surface web sources.
Step 2
Normalize records and add high-fidelity metadata, infrastructure context, and source detail.
Step 3
Link services, users, infrastructure, credentials, groups, and historical records.
Step 4
Give analysts graph-ready pivots that cross source boundaries without manual stitching.
Step 5
Deliver intelligence through API, CLI, platform workflows, and dataset exports.
Use cases
Track adversary infrastructure, hidden services, users, and campaign pivots before they reach commoditized reporting.
Give analysts pre-correlated context that reduces manual enrichment and speeds escalation decisions.
Move from an indicator to related certificates, services, users, infrastructure, and historical observations.
Understand credential exposure through normalized breach data connected to organizations and other Dendrite sources.
Investigate third-party exposure and infrastructure overlap with a broader internet intelligence graph.
Ground security agents and train models on current, relational, high-confidence internet intelligence data.
Proof
Resources
Follow the team’s thinking on internet intelligence, security AI grounding, and the operating model behind Dendrite datasets.
Analysis · 10 min read · 6/7/2026
A deeper look at grounding for security AI, the mechanisms behind it, and the data requirements that determine whether it works.
Analysis · 9 min read · 3/30/2026
Why forensic CTI alone is a weak substrate for agentic AI, and why continuous internet intelligence changes the data model.
Analysis · 8 min read · 5/27/2026
A practical look at why dark web intelligence needs infrastructure correlation, not just keyword monitoring.
Contact
Schedule a call to discuss the right capability, delivery path, and access model for your team.