Dreadnode is an offensive security platform designed to scale offensive operations and evaluate AI deployments. It provides a comprehensive ecosystem including security researchers, tools for building and running offensive agents, and research-driven methodologies.

Key Features:

• Deploy and run pre-built or custom offensive agents at scale using Strikes and the agent library.
• Evaluate agent architectures and measure performance with built-in tooling and metrics.
• Perform AI red teaming and adversarial research against various targets and modalities, supported by an SDK.
• Manage operations with multi-user support, centralized storage, scoped reporting, and custom model hosting in Crucible.

Use Cases:

• Augmenting offensive capacity for security teams and red teams, converting proofs-of-concept into production agents.
• Conducting adversarial testing and risk assessments on deployed AI systems and non-LLM modalities.
• Providing hands-on training and skill development in AI red teaming through practice challenges and hosted evaluation environments.

Benefits:

• Enhanced offensive security capabilities through scalable AI tools.
• Streamlined deployment and evaluation of offensive agents.
• Robust adversarial testing for diverse AI models, including non-LLMs.
• Centralized platform for collaborative security operations and reporting.
• Opportunities for hands-on skill development in AI red teaming.