Data structured to train encrypted-traffic detection agents, Hunting & Response Agents, Reinforced Learning (RL) & Large Language Models (LLM), Graph Neural networks (GNN) and more. Dendrite datasets are tailored to a wide variety of AI and training needs.

Synthetic data fusion layers Integrate & enrich raw internet intelligence telemetry—such as domains, IPs, certificates, and reconnaissance patterns—by layering in contextual signals, entity resolution, temporal correlations, and recorded attack scenarios to create diverse group of high-fidelity training datasets.

Fresh data delivered every two weeks to ensure your agents stay current with evolving threats, new infrastructure, and emerging TTPs.These are served through both the Dendrite Unified Web Platform and via API.

Bespoke datasets built to your exact specifications — including custom labeling, domain focus, or integration with your internal telemetry — for maximum relevance and faster time-to-value.

Labeled datasets capturing real-world Command & Control (C2) infrastructures, beaconing patterns, and communication sequences derived from dark web sources, breaches, and threat actor activity. These enable agentic AI to excel at encrypted traffic analysis, anomaly detection, and proactive threat hunting by learning subtle adversary TTPs that traditional signatures miss.

Curated trajectories of multi-step agent reasoning, tool usage, decision chains, and adaptation scenarios built from enriched internet intelligence signals. Ideal for training collaborative agentic systems in cybersecurity workflows — such as autonomous incident response, kill-chain prediction, or coordinated threat hunting — while improving robustness against evolving attacks.