// Company · About
The people
and platform
behind agentic cyber capabilities
Offensive operators and AI researchers building the infrastructure security teams need to own, operationalize, and improve agentic cyber capabilities.
Ex-NVIDIA · Microsoft · Meta · Cohere · Run Sybil · Horizon3
The challenge is not capability, it’s everything around it.
Security teams understand that agentic uplift is a priority, and that models are capable. We’ve seen a huge shift since founding the company. AI can do the thing.
Dreadnode is here to address foundational deployment challenges, not prove capability. We’re addressing fragmented harnesses, partial solutions, black boxes and X for Y components that solve one aspect of cyber without appreciating that AI significantly changes the way we approach industry-wide problems.
We noticed that unified infrastructure for cyber and AI together did not exist. There was not a stack that let teams engage with agentic uplift at an operational level for workflows and human-in-the-loop mechanics. We recognized that operationalizing agents requires unification of data collection, assurance testing, optimization, continuous learning, and eventual model post-training — functions that will inevitably come for the domain.
We built ahead of the curve. Dreadnode was founded to challenge the traditional security mindset and provide teams everything they need to deploy agents with confidence and control. We’ve built the missing infrastructure layer so that defenders can accelerate and scale to outpace the modern adversary.
What motivates us
Infrastructure, not a black box
Intelligence is commoditizing. The next model will be smarter than this one, and the benchmark after that will be higher still. What doesn’t commoditize is the harness — the thing that turns raw model capability into a capability your team owns, can prove, and can run again next quarter without rebuilding it.
We are not arbiters of capability. We don’t decide what your agents are allowed to become. We build the layer underneath so that security practitioners can encode hard-won domain expertise without becoming ML engineers first — and so what they encode survives rotation, transfers to the whole team, and improves on evidence instead of vibes.
Everything runs inside your boundary. Your agents, your data, your models, your trajectories. If we can see it, it isn’t sovereign.
Trust Center
For a company helping mission-driven organizations and mature enterprises run agentic cyber capabilities, trust and compliance are a top priority. Visit our Trust Center for details about our security policies and accreditations that keep our platform protected and client data secure.
The Dreadnode Crew
Offensive ML operators and researchers with military and government roots.
Backed by the best
Decibel, In-Q-Tel, Next Frontier Capital, Sands Capital, Indie VC, and Aviso Ventures.
Announcements from the crew
Product announcements, press coverage, and updates from the Dreadnode team.
Dreadnode at Offensive AI Con 2026: Research, Talks, and the Opening Night Reception
Dreadnode returns to Offensive AI Con October 4–7, 2026 in Oceanside, CA — sponsoring the Opening Night Reception and presenting new research on agent cheating and out-of-scope behavior.
Dreadnode at BlackHat, DEFCON, & AI Security Forum: Own Your Autonomous Security Stack
Catch Dreadnode at Black Hat USA 2026, the Las Vegas AI Security Forum, and DEF CON 34 — new ScopeJudge research, a red-vs-blue Briefing, and platform updates.
Dreadnode Launches 2.0, the First Complete Infrastructure Platform for Security Agents
Dreadnode 2.0 is the first platform that supports the full security agent lifecycle. Build, evaluate, optimize, and deploy security agents with confidence.