The Lab
What Dark Data Labs runs.
Dark Data Labs is the research hub that spawns and feeds the products and sites in our network. Continuous OSINT across breach databases, dark web forums, stealer logs, and public data brokers — correlated with our own T-Pot honeypot capturing the latest exploits in the wild, and forensics insight from real incidents. A private LLM stack and agentic research agents compound it all into operational advantage. The research fuels every product we ship — and if you're working on adjacent problems, we want to know.
Properties
What we operate
Sites we operate or fuel. Each one is its own product or research surface — Dark Data Labs is the lab behind them.
Research
What we research
Research streams the lab actively works on. Findings show up in the properties above and the occasional academic paper.
OSINT collection pipeline
Continuous open-source intelligence across breach databases, stealer logs, dark web forums, public data brokers, infrastructure registries, and code repositories. 20+ correlated sources feeding every product we ship.
T-Pot exploit telemetry
Self-operated multi-honeypot deployment (Cowrie, Dionaea, Suricata, Elasticpot) capturing credential attacks, malware payloads, and zero-day-adjacent exploit attempts the moment they appear in the wild.
Private LLM infrastructure
Self-hosted local language models on dedicated GPU. Sensitive data never leaves our network — no cloud-LLM dependency, no third-party prompt logging, no vendor lock-in.
Agentic research systems
Autonomous agents that scan, correlate, and surface findings across our intelligence sources faster than any human analyst. Our agentic stack is what makes 48-hour exposure reports possible.
AI agent security
Hands-on security analysis of OpenClaw and other open-source AI agent platforms — CVE tracking, prompt injection defense, skill-permission hardening, and Nvidia NemoClaw integration testing.
Digital & network forensics
Memory analysis, packet capture reconstruction, log timeline forensics, and live-incident response. Adjunct-taught curriculum and field-tested practice feeding directly back into product detections.
Deepfake detection
PhD-level multimodal deepfake detection research and adversarial robustness analysis of current defenses. Cited where publication is appropriate.
Tell us what you're working on.
Cutting-edge offensive or defensive security work, weird telemetry, half-baked AI-for-defense ideas, incident-response war stories, novel exploit research — we want to hear about it. We work across industries and company sizes, not a single niche. Collaboration inquiries, research correspondence, and operator brain-trust requests all welcome.
intel@darkdatalabs.com →