offensive security agents

A good offence is a good defence

Funded by the UK's Ministry of Defence and developed in collaboration with over 26 expert pen testers from a cross-section of industry and government, our offensive security agent identifies vulnerabilities on real and virtual networks and tests to see if those vulnerabilities could be exploited by criminals, hackers or adversaries.

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// Validate your end-to-end defences against realistic threats driven by our in-house agentic technology

Our agent emulates adversaries while operating on real networks and cyber ranges, across the full scope of offensive tradecraft. In this way you can not only enumerate where risks may exist, but pinpoint exactly where they do exist and how an adversary can exploit them, reducing false positives and focusing previous human resources on the most critical vulnerabilities.Granular controls over agent bounds and behaviour enable users to tailor their operations to mimic particular adversary behaviours or target specific aspects of their defence.
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How our agents work

// Real-time adaptive agents for machine speed offensive security applications

We built our agent from analysing the decision-making behaviour of 26 expert penetration testers and red teamers as they performed a simulated attack against a computer network. Our agent operates in human-in-the-loop mode for decision support and automation, and in autonomous mode for machine-speed operations. In both modes our agent continuously optimises using machine learning algorithms to learn from every interaction with humans and the deployed environment. The agent can also incorporate knowledge from open source threat intelligence and security tools.

How can I use the agent?

Benefits

Stronger cyber resilience

Learn and mimic adversary behaviors to reveal vulnerabilities before real adversaries exploit them

Enhanced readiness

Red, Purple, and Blue Team synergies supported by the same agent experience enabling seamless coordination and exercises

Compliance and decision support

Full transparency of action sequences; users can define goals, constraints, or ‘breakpoints’ to align to policy

Continuous adaptation

Real-time learning of new environments and real-time control of agent behaviour (e.g., stealthier, faster, etc.)

Streamlined and scalable