AI Testing & Red-Teaming
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Enterprise Infrastructure & Security

AI Testing & Red-Teaming

Adversarial testing to find what your AI does when the inputs get hostile.

Overview

Before deploying AI systems at enterprise scale, we conduct systematic adversarial testing — prompt injection attacks, jailbreak attempts, edge-case data poisoning, and hallucination stress tests. Our red-team reports give you a clear picture of failure modes before your AI system encounters them in production.

200+
Attack vectors tested
~48h
Est. standard turnaround
Reduced
Production incident risk post-audit

Implementation Pipeline

01

Attack Surface Mapping

Identify all input vectors and potential adversarial entry points.

02

Automated Fuzzing

Automated generation of adversarial inputs across common attack categories.

03

Manual Red-Teaming

Expert human testers probe for nuanced reasoning failures and brand risk.

04

Hallucination Stress Test

Systematic tests for confabulation on topics outside the knowledge base.

05

Remediation Report

Prioritised vulnerability report with specific remediation recommendations.

Use Cases

Pre-deployment Safety Audits
Ongoing Red-Team Retainers
Regulatory Compliance Testing
Brand Risk Assessment
Third-party AI Audits

Start Your Project

Share your requirements and we'll put together a tailored deployment plan.

Get in Touch
No commitment required
Prompt response

Technology Stack

GarakLangChain Red-TeamCustom Prompt LibrariesPythonGrafana