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AI Security // Offensive

You shipped an LLM.
Attackers are already prompt-injecting it.

Every model, agent and copilot you ship is a new way in. Prompt injection, data exfiltration and model abuse do not show up in a code review. We test the way an attacker would, then hand you proof. Teams in London are shipping faster than they can secure.

Enterprise-grade cybersecurity, within reach.

The New Surface

A model is not a feature. It is a new way in

Your firewall never saw this coming. The moment a model takes untrusted input and reaches real tools, it becomes the softest target you own. Three classes of attack land first.

Prompt Injection

We smuggle instructions through user input, documents and tool output until your model follows ours instead of yours. Direct and indirect, including payloads it reads but never shows a human.

Outcome: the exact inputs that hijack your model, with the fix.

Data Exfiltration

We coax the system into leaking what it should never reveal: other users’ data, secrets in the prompt, training material and the keys to the tools behind it.

Outcome: a ranked list of what leaks, and through which path.

Model Abuse

We push past your guardrails to make the model act outside its remit: jailbreaks, unsafe actions through connected tools and quiet abuse of the agent’s permissions.

Outcome: the guardrails that hold, and the ones that do not.

What We Test

The model, the agents, the copilots, and the integrations behind them

We do not stop at the chat box. We test the whole chain, because attackers chain it: one weak prompt into one over-permissioned tool is the whole breach.

Scope of Assessment
  • The models themselves, hosted or self-run, including the system prompt and its guardrails
  • Autonomous agents and the actions they can take through connected tools
  • Copilots and assistants embedded in your product, your inbox and your codebase
  • The retrieval and RAG pipelines that feed them, and the documents they trust
  • The integrations behind it all: APIs, plugins, function calls and the data they touch
  • The permissions each component runs with, and what one compromised step unlocks next

The AI-Era Edge

We use AI to break AI. Then a human signs it

Attackers already run AI-augmented tooling against you. So do we. But automation finds noise; an operator finds the breach. Every finding we hand you is verified by a CREST-certified human first.

CRESTISO/IEC 27001Cyber EssentialsOffensive Security OSCPGIAC GXPNGIAC GWAPTGIAC Advisory BoardCompTIAOWASPNISTCRESTISO/IEC 27001Cyber EssentialsOffensive Security OSCPGIAC GXPNGIAC GWAPTGIAC Advisory BoardCompTIAOWASPNIST

AI sharpens the tradecraft; it never sets the price. The savings come from a lean team, which is how enterprise-grade cybersecurity stays within reach.

From the network

Teams who let us break it first

Cybersecurity work is confidential, so these are anonymised: a role, a sector, a city. Real to the kind of team shipping AI faster than they can secure it.

  • We resell their red team under our badge. The client gets CREST-certified work, we get a wholesale price that holds our margin, and we have never been undercut on a renewal. It let us keep accounts we would have lost to a bigger name.

    — Director · IT reseller · Manchester

  • We are FCA-regulated, so a tick-box was never going to satisfy me. They got into our customer portal through a path our last pen test missed, then handed me a report the board and our auditor both used as-is. The fixes came ranked, not a flat list of 200 issues.

    — Head of InfoSec · Fintech · London

Get ahead of it

Need help protecting your business?
Talk to us.

Tell us what you have shipped: the model, the agent, the copilot, the systems around it. We scope the right test on a short call and show you where an attacker would start. No deck, no sales theatre, just the doors before anyone else finds them.

We hack it before they do.