All services

Governance & Trust

AI Security & Red Teaming

Attack it yourself, on a schedule, before someone else does.

200+
Adversarial cases per system
CI-gated
Security tests on every release
Ranked
Findings with fixes, not a PDF

The problem we solve

AI systems expand the attack surface in ways traditional testing misses: untrusted content becomes instructions, tools become capabilities, and retrieval becomes an exfiltration path. We test those paths deliberately and fix what we find.

What the work includes

Prompt injection testing

Direct and indirect injection through documents, web content, emails and tool responses.

Data exfiltration testing

Attempts to pull cross-tenant, cross-permission or confidential content through retrieval and tool chains.

Agent abuse scenarios

Tool misuse, privilege chaining, loop and spend attacks against agents with real capabilities.

Defence engineering

Input isolation, output filtering, allow-listed tools, spend caps and permission-aware retrieval implemented, not just recommended.

Continuous assurance

Adversarial suites in CI plus scheduled re-testing as models and prompts change.

How the engagement runs

A sequence you can plan a quarter around.

  1. 01

    Model

    Threat modelling across data, tools, identities and trust boundaries.

  2. 02

    Attack

    Manual and automated adversarial testing with findings triaged as they land.

  3. 03

    Harden

    Mitigation implementation, retest and CI suite handover.

Common questions

Before you commit.

Can prompt injection be solved?
Not eliminated. It is contained by treating model output as untrusted and constraining what tools can do.
Do you work with our security team?
Yes — findings go into your existing vulnerability process, not a separate report nobody tracks.

Talk through ai security & red teaming.

A 45-minute briefing with the people who would run the work — scope, timeline and a straight answer on whether it is the right next step.

Book a briefing