Deployment
Move Dendrite data into production workflows.
Support for access design, delivery paths, implementation planning, dataset handoff, and the operational details needed to make Dendrite useful inside an existing security program.
Services
Practical support for data, workflow, and AI implementation.
Dendrite helps teams operationalize intelligence data, integrate with existing products and workflows, and address adjacent AI or data problems that need practitioner-level execution.
Services model
Implementation help for teams that need the data to land inside real systems.
Dendrite services are built around the same operating principles as our data products: high-value data only matters when it can be trusted, queried, correlated, and operationalized inside the workflow where decisions are made.
Implementation work may involve deploying Dendrite capabilities, integrating our data into existing security products, or helping with broader AI and data engineering needs that are unrelated to Dendrite offerings but adjacent to the same technical problem space. We're here for you all the way.
Service areas
Support where product, data, and operations meet.
Engagements can start with Dendrite deployment or with a separate data, workflow, or AI problem where the team needs senior technical execution.
Integration
Connect intelligence to the tools teams already use.
API, export, CLI, and platform integration support for SIEMs, SOARs, case management systems, internal portals, enrichment services, and analyst workbenches.
Workflow
Translate raw data into repeatable analyst motion.
Help designing triage paths, pivot logic, escalation criteria, reporting outputs, and operational playbooks that make correlated internet intelligence easier to apply.
AI systems
Build practical AI and data workflows beyond Dendrite.
Advisory and implementation support for retrieval systems, model grounding, graph-aware data design, evaluation datasets, and security-specific AI workflows.
Engagement paths
Designed for focused, practical work.
Services can be scoped around a single integration, a broader deployment path, or an advisory review before a team builds.
Implementation
Scoped technical delivery
Focused work around a defined deployment, integration, data pipeline, enrichment path, or AI workflow.
Advisory
Architecture and planning support
Review data strategy, integration patterns, workflow design, or model-grounding assumptions before committing engineering time.
Partner enablement
Support for teams building on top of Dendrite
Help product, MSSP, platform, and internal engineering teams turn Dendrite data into user-facing capabilities.
Services
Talk through the deployment or data problem.
Use the contact path to discuss Dendrite implementation, workflow integration, product enablement, or AI and data needs outside the core platform.