AI‑Specific Security Testing and Exploitation Assessment
Our service identifies vulnerabilities that are unique to AI systems, including those that cannot be detected through traditional penetration testing approaches.
It enables organizations to understand how their AI systems can be exploited, manipulated, or abused, and provides clear remediation guidance to strengthen security posture. A key consideration is that LLMs are deployed uniquely, and therefore a unique testing approach is needed for testing each model. It’s not viable to just send a collection of default prompts as payloads.
The Importance of AI/LLM Penetration Testing
AI systems introduce new and evolving attack vectors that differ significantly from traditional application vulnerabilities, including:
- Prompt Injection Attacks – Manipulating model inputs to bypass controls or extract sensitive information
- Data Leakage Risks – Exposure of sensitive data through model outputs or interactions
- Adversarial Inputs – Inputs designed to cause incorrect or harmful model behavior or attempts to jailbreak
- Model Abuse & Misuse – Exploitation of AI capabilities for unintended or malicious purposes
- Integration Vulnerabilities – Weaknesses in how AI systems interact with APIs, data sources, and external services
Without targeted testing, these vulnerabilities can remain undetected until exploited in production environments.
What to Expect From Our AI/LLM Penetration Testing Service
We deliver comprehensive AI-specific penetration testing, including:
The Benefits of AI/LLM Penetration Testing
Identification of AI-specific vulnerabilities before they can be exploited
Improved resilience of AI systems against manipulation and abuse
Reduced risk of data leakage and security incidents
Enhanced confidence in deploying AI systems in production environments
Alignment with secure development and assurance practices
Start Your AI/LLM Penetration Testing Journey
Speak with one of our experts to see how we can support your organization.
How it Works
Our approach combines traditional penetration testing methodologies with AI-specific techniques:
- Scoping & Threat Modelling – Defining attack surfaces and testing objectives
- Test Design – Developing tailored attack scenarios for AI systems
- Execution – Conducting controlled, ethical attacks against AI components
- Analysis & Validation – Confirming vulnerabilities and assessing impact
- Reporting & Remediation Support – Delivering detailed findings and guidance
Customer Stories
Why Us?
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300+ Security Specialists
Our team have diverse experience across sectors and disciplines, and hold accreditations from numerous industry bodies.
Certifications
Our people and services are highly accredited by leading industry bodies including CREST and more. Our SOC holds extensive accreditations from CREST (including for CSIR and SOC2) and works closely with our cyber consultancy services.
Partnerships
As a Microsoft Partner, we also hold advanced specialisms in Cloud Security and Threat Protection. We’ve also implemented some of the largest deployments of the Microsoft Security stack, inc. Sentinel, Defender, Purview and more.
