Sovereign cyber capabilities you can depend on
Deploy agents with confidence, using the tradecraft your team already has.
Mature teams stopped asking whether agents can do consequential security work. They can.
But the path to operationalize agents remains fragmented and opaque.
What’s missing is the scaffolding around the capability — evaluation, evidence, and a way to take operator tradecraft and scale it.
Without it, the promise of AI remains a promise.
Agentic uplift starts here.
Dreadnode gives security teams the infrastructure to own, operationalize, and improve agentic cyber capabilities.
AI infrastructure for cyber operations.
The Dreadnode Platform equips defenders with ready-to-run capabilities, shared operational knowledge, and the ability to run agents without sacrificing control or ownership.
Operations
Put ready-made cyber capabilities to work with your existing tools. Bring your team’s tradecraft into shared capabilities and workflows that operators can run and extend.
Agent Intelligence
Carry project knowledge between sessions and act on structured findings. Use retained evidence to improve capabilities and adapt models for specialized work.
Evaluations
Measure what agents accomplish and examine how they get there. Test against your own tasks and criteria, with AI red teaming to probe security and safety failures.
Observability
Follow agents as they work and trace findings back to the actions that produced them. Investigate unexpected behavior and compare performance across runs.
Cyber capabilities, ready to deploy.
Operator-authored agents for security testing, research, and operations, connected to the tools your team already uses.
AI Red Teaming
AI red teaming across the full range of AI systems in production today, from traditional machine learning models to multi-agent systems. Uncover security and safety risks at machine speed.
Web Security
Web application penetration testing with 83 attack technique playbooks. Put agents to work to discover and investigate vulnerabilities, and capture the evidence behind each finding.
Network Operations
Run network discovery and Active Directory assessments with agents connected to attack-path analysis and C2 tools.
Own it. All of it.
Run inside your boundary. Keep your capabilities, operational data, and the knowledge your team accumulates. Route inference to approved providers or models you host yourself.
Not this:
ExperimentIndividual experiments breed individual prompts, skills, and scripts that are spread across laptops and repos. Each operator maintains their own setup, creating disparate processes and tools.
Not this:
RentVendor-provided, black box agents require you to run the capabilities within the tools, workflows, and deployment options they provide. If you decide to part ways, progress and compounding intelligence is lost.
Own
Put working capabilities to use on infrastructure you control. Extend them with your expertise and retain the evidence to improve them. Your agents. Your data. Your rules.
Authority is earned, not assumed.
Assess what agents accomplish, how they behave, and where they fail under adversarial testing. Dreadnode combines task evaluations, LLM judges, and AI red teaming so your team can set the criteria for greater responsibility.
- Attack strategies
- 70+
- Transforms
- 600+
- Scorers
- 130+
Research extends to the platform
Our research pipeline runs straight into the product, with repeatable methodology.
ScopeJudge: Can a Runtime Judge Keep Offensive Agents In Scope?
Aug 03, 2026
We ran 8 LLM judges against 4,897 offensive security tool calls to see if they can gate agents at runtime. The best entered human range — but still missed 1 in 10 tool scope violations.
Shane Caldwell
BlogDreadIndex: Benchmarking Language Models Against Offensive Cybersecurity Evaluations
Jul 16, 2026
An offensive cybersecurity evaluation index for language models: 76 public and private tasks across 10 categories, measuring how capable each model is at attacking real systems — and what that capability costs.
Michael Kouremetis
BlogEvery Model Cheats: Prompt-Level Mitigation of Cheating on Offensive Cyber Tasks
Jul 29, 2026
This post presents a controlled prompt-ablation study: 23 tasks, three prompt conditions, 1,518 individually audited traces, and a simple question: can you prompt away cheating?
Michael Kouremetis
Start where your operators already work
One binary, a terminal, and a target you’re authorized to test.
$ curl -fsSL https://dreadnode.io/install.sh | bash