Service

Adversarial AI Testing

Find the failure modes before an adversary does.

Adversarial AI Testing puts your models, prompts, and data pipelines under the same pressure a motivated attacker would apply. We combine offensive security expertise with applied machine-learning knowledge to surface the weaknesses automated scanners miss, then give your team a clear, prioritised path to close them.

Book an Adversarial AI Testing Briefing

Coverage

What We Test

The specific areas we assess in this practice.

Prompt Injection & Jailbreaks

Direct and indirect prompt injection, system-prompt extraction, and guardrail bypass across your model interfaces.

Model Evasion

Adversarial inputs crafted to force misclassification or unsafe outputs from classification and detection models.

Data Poisoning

Assessment of training and fine-tuning pipelines for poisoning, backdoor, and integrity risks.

Model & Data Extraction

Membership inference, model inversion, and extraction attacks that leak proprietary models or sensitive data.

Methodology

How the engagement runs

A disciplined, repeatable process, so findings are reproducible and fixes are verified.

01
Scope
Map your AI assets, interfaces, and the threat actors that matter to your sector.
02
Test
Execute adversarial campaigns against models, prompts, and supporting pipelines.
03
Report
Deliver prioritised findings with reproducible evidence and business impact.
04
Remediate
Pair with your engineers to validate fixes and re-test the closed gaps.