Security and responsible AI

How we handle access, data and AI systems.

We agree project controls for the systems, data and risks involved before production access begins.

Access and secrets

  • Agree the minimum access needed for the work.
  • Use named accounts and multi-factor authentication where the client system supports them.
  • Agree how secrets are stored and when project access is removed.

Software delivery

  • Define code-review and release checks for the project.
  • Choose dependency, type and automated tests appropriate to the stack.
  • Agree how test and production settings are separated and decisions recorded.

Client data

  • Agree what data can be accessed, where it is processed and how long it is kept.
  • Use representative or synthetic test data when real records are unnecessary.
  • Record relevant providers, data locations and deletion requirements for the project.

AI systems

  • Assess model providers against the use case and data constraints.
  • Define how source information, model output and human decisions remain distinct.
  • Agree evaluation and human-review controls before a high-impact external action.

For procurement teams

Support for your security review.

We can complete a relevant supplier questionnaire and discuss contractual terms, subprocessors, access, incident handling and handover.

Regulated, safety-critical or high-risk processing may require specialist legal, compliance or security review.

Discuss your security requirements

Start a conversation

Discuss your security requirements.

Tell us about the data, systems and controls involved.

Discuss your project

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