Mission
Give analysts and automated systems expert-level security context.
Dendrite focuses on the relationships between dark web activity, exposed credentials, adversary infrastructure, timing, provenance, and operational context.
About
Dendrite builds security data systems for analysts, investigators, and AI-enabled defense workflows.
We turn dark web, credential, infrastructure, and surface web signals into connected context that empowers human teams and grounds automated security reasoning.
Why Dendrite exists
Security AI needs more than indicators. It needs perception.
Dendrite was founded to narrow the perception gap between expert analysts and automated security systems. Expert analysts rarely reason from isolated indicators alone; they evaluate relationships, timing, provenance, infrastructure behavior, identity exposure, adversary patterns, and operational context. To emulate that reasoning, Dendrite builds data systems that make richer security context available to agentic AI.
Our analyst-facing intelligence flows from the same data pipelines. The datasets we build to train, ground, and evaluate security agents also give human teams high-fidelity context for CTI, SOC operations, threat hunting, identity risk, vendor exposure, and other areas where today's information market leaves critical gaps.
How we work
We build the connected data layer security teams need to reason and act.
Dendrite collects difficult internet signals, preserves source-aware context, connects related evidence, and structures the result for both human analysis and machine reasoning.
Method
Collect difficult signals, preserve context, and structure them for action.
The work is built around source-aware datasets, relational pivots, and access paths that support human analysis, agent training, grounding, and evaluation.
Standard
Keep the intelligence defensible.
Dendrite prioritizes provenance, repeatable enrichment, source-aware context, and tight operational language so both analysts and agents can reason from reliable evidence.
Credibility
Built around data fidelity, not just data volume.
Dendrite's work is grounded in large-scale collection, breach-data depth, infrastructure tracking, provenance, and practitioner validation so intelligence can support analyst decisions, investigations, and agentic AI training workflows.
10.4kCommand & Control servers tracked
>200MDark web resource records created
>41MDark web users discovered
31BnLeaked credential profiles developed
~1.84TnData point correlations generated
These pre-correlated data sets were a massive analysis accelerator during our test run with the CLI utility.
This was a noticeable force multiplier for myself and direct reports. Nearly all records queried held many hundreds of data points.
Even in alpha testing, I was able to find numerous suspected C2s which are not yet in other paid intel databases.
What we care about
The goal is not just more data. It is better connected context.
Every Dendrite capability is shaped around the same principle: collect signals that matter, connect them in ways that preserve meaning, and expose them so humans and agents can reason from the same operational context.
Built by practitioners
Cybersecurity, data, and infrastructure experience behind the data layer.
The company brings together hands-on experience with threat intelligence, internet-scale data engineering, operational security, analyst workflows, and AI-ready data design.
Dual use
One foundation for analysts and agentic systems.
The same datasets that train, ground, and evaluate security agents also give CTI, SOC, threat hunting, identity risk, and vendor risk teams high-fidelity intelligence.
Delivery discipline
Expose the same context through practical interfaces.
Dendrite exposes intelligence through platform views, command-line access, APIs, and structured exports so humans, engineering teams, and AI systems can work from the same context.
Contact path
See how Dendrite data fits your analyst and agentic AI workflows.
Use the contact path for demos, access requests, partnerships, or focused conversations about CTI, SOC, threat hunting, identity risk, vendor risk, and agentic AI training data.