AI security · Cybersecurity · Applied research

Secure AI,
built on research.

We help organisations adopting AI and connected technology find what can go wrong, and build systems that hold up. Every engagement draws on years of applied security research.

For

Organisations adopting AI and connected technology across the UK and Europe, especially in regulated sectors, and the teams who have to make it hold up.

Fig. 1 — Security of and with machine learning

From the research

How do machine-learning systems fail under attack, and how can machine learning help defend other systems?

We study attacks to build defences that hold up in deployed systems, not only in the lab. The work goes straight into how we test AI applications for clients.

  • Adversarial attacks on models and AI applications
  • Prompt injection and LLM application security
  • Machine learning for threat detection

How it starts

One call, then a fixed plan.

  1. 01

    Scoping call

    Thirty minutes to understand the system, the risk and the deadline. No charge.

  2. 02

    Proposal

    A fixed scope, method, timeline and price, usually within a week.

  3. 03

    Delivery

    Work done to the agreed plan, with regular check-ins and no surprises.

  4. 04

    Report

    Findings, evidence and next steps, written for engineers and for the board.

Who we work with

Who we work with

  • Security and technology leads

    CTOs, CISOs and heads of data or AI who need an independent, evidence-led view of the AI and systems they run.

    AI security and assurance
  • Product teams

    Teams building AI features or connected devices who want security designed in, not bolted on.

    Secure development
  • Research partners and funders

    Universities, labs and funders looking for an industry partner that works to research standards.

    Our research

Next step

Tell us what you are building.

A thirty-minute scoping call, no charge. We reply within two working days.