AI PENETRATION TESTING
Simulate an attack against LLM and GenAI applications and data flows to discover your AI vulnerabilities.
Trusted by leading organisations
What is AI penetration testing?
LLM & GenAI SECURITY
IS UNPREDICTABLE
AI penetration testing identifies weaknesses in artificial intelligence systems, including Large Language Model (LLM) and GenAI models, supporting infrastructure, and system integrations. It adapts professional penetration testing techniques to assess the latest AI products used by your organisation.
Our expert team use rapidly-evolving AI pentesting methodologies to assess your cutting-edge systems for vulnerabilities, helping your organisation to quantify AI risk and discover how you may be exposed to new attack vectors.
What are the benefits of AI pentesting?
Fast technology adoption
with managed risk
Organisations increasingly rely on artificial intelligence, introducing new attack surfaces that require careful security review.
AI systems are usually complex and interconnected, with access to data sources, APIs, third party services, and downstream applications. This can make it difficult to identify and manage risk.
An AI penetration test can assess the effectiveness of safeguards applied to models, data handling, and integrations. By finding vulnerabilities now, you can address them before they are abused in real world scenarios.
Common vulnerabilities found in AI,
LLM & GenAI penetration tests
Attackers can bypass safeguards
and manipulate data
Our expert penetration testing team finds and exploits vulnerabilities found in AI deployments. Our findings are aligned with industry-recognised methodologies and real-world AI security discoveries. These include:
Prompt injection
Maliciously crafted inputs can override instructions and influence model behaviour. We can identify these vulnerabilities and help safeguard AI systems against manipulated outputs.
Data exfiltration
Models inadvertently expose sensitive or proprietary data in responses when guardrails fail. Penetration testing can find new techniques that cause data loss before it affects your organisation.
Training data poisoning
Untrusted or manipulated data can compromise model accuracy and reliability. We can assess training pipelines to ensure model integrity.
Model access controls
Weak authentication or authorisation can allow unauthorised access to model endpoints. Penetration testing can validate access controls that encompass your AI systems and it’s integrations.
Insecure integrations
APIs and connected services may introduce vulnerabilities that impact AI security. We can identify risky integrations and recommend secure design practices.
Output filtering
Models may generate harmful or policy‑violating outputs. Testing can support the discovery of filter bypasses, and help implement more robust guardrails.
Logging and monitoring
Limited visibility into AI usage can delay detection of attacks or abuse. We can help review logging and monitoring configurations to improve audit and alerting capabilities that enable investigation and improvement.
AI supply chain
Third‑party models, datasets, or plugins may carry hidden risks. We can assess your AI supply chain to reduce exposure.
Discover other types of
penetration testing services
CREST-certified
penetration testing services
As well as AI, LLM and GenAI penetration testing our team provides the following pentesting services:
Website penetration testing
Assesses your web applications and APIs for security vulnerabilities that may be exploited to compromise your applications. We use comprehensive OWASP testing methodologies and leading tools to provide assurance that your applications are secure.
Cloud penetration testing
Cloud penetration testing attempts to find misconfigurations that may expose your cloud systems and data to attack. It’s performed against environments hosted by a cloud service provider, such as Amazon Web Services (AWS), Google Cloud or Microsoft Azure.
All penetration testing services
Our penetration testing services are ideal for businesses who have commercial or regulatory requirements to complete testing, as well as businesses who prioritise cyber security and need independant technical assurance.
Frequently asked questions
What is an AI penetration test?
AI penetration testing is designed to assess the security of artificial intelligence systems, including models, APIs, integrations, and data pipelines. The goal is to identify vulnerabilities such as prompt injections, data leakage, insecure model access, and other weaknesses before they can be exploited by malicious actors. Our security experts use the latest techniques and tools to simulate real‑world attacks against AI systems.
What steps are involved in an AI penetration test?
An AI penetration test typically includes scoping and discovery, threat modelling, simulated attacks on models and integrations, data flow analysis, and reporting. The process also involves assessing access controls, evaluating model outputs, and recommending mitigations for any vulnerabilities found.
Who conducts an AI penetration test?
AI penetration tests are conducted by experienced penetration testing consultants with expertise in AI, machine learning, and cyber security. Our team combines knowledge of adversarial techniques, model behaviour, and enterprise security practices to identify and address risks effectively.
How long does an AI penetration test take?
The duration of an AI penetration test depends on the complexity of the systems, the number of models and integrations involved, and the scope of testing required. Tests typically range from a few days for a single model to several weeks for a comprehensive assessment of enterprise AI environments.
How much does an AI penetration test cost?
Costs vary depending on the complexity, size, and scope of your AI systems. We provide tailored assessments based on the number of models, integrations, and desired testing depth, ensuring you receive a cost‑effective evaluation.
What happens after the AI penetration test?
Following testing, you will receive a detailed report outlining identified vulnerabilities, their potential impact, and recommended mitigations. Our team can also provide guidance on implementing fixes and improving overall AI security posture.
How do AI systems pose a security risk?
AI systems can introduce new attack surfaces through model endpoints, APIs, data pipelines, and integrations. Weak access controls, unfiltered outputs, insufficient guardrails and exposure of sensitive training data can be exploited, leading to operational, financial, or reputational damage.
What is CREST?
CREST is an international not-for-profit accreditation and certification body representing and supporting the technical information security market. Companies can choose to become a CREST member and apply for CREST-accredited services. The application requires a rigorous assessment of members’ processes, data security and service methodologies to ensure they’re executed to best practice standards.
Is Sentrium a CREST-approved provider?
Yes! Sentrium is a CREST-approved penetration testing provider. We’re proud to provide services that achieve CREST’s extremely high standard of quality and professionalism, which is recognised internationally.
Why should I use a CREST-approved pentesting company?
Working with a CREST-approved penetration testing provider ensures you’re in safe and experienced hands. You should have the confidence that your penetration test is thorough and comprehensive. Your provider must conduct a technically accurate test that covers the required scope of your IT controls to ensure your primary security concerns are assessed.