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Dionach provides specialised AI application penetration testing for systems using machine learning (ML) and large language models (LLMs). Our CREST-accredited team simulates real-world attacks—identifying risks like prompt injection and data leaks—while following the OWASP Top Ten for LLMs.
We define a clear testing scope and deliver detailed reports with practical remediation advice. Whether for one-time validation or ongoing managed AI security, our manual approach ensures your AI systems stay secure, compliant, and resilient.
AI application penetration testing, also known as AI testing or AI security testing, is the process of evaluating the security of AI systems and applications. It involves simulating real-world cyber attacks to identify vulnerabilities and weaknesses in the system.
The goal of AI application penetration testing is to identify potential security risks and provide recommendations for improving the security of the system. This can include identifying vulnerabilities in the code, testing the system’s response to different types of attacks, and evaluating the overall security posture of the system.
Dionach provides specialised AI penetration testing for systems that utilise machine learning (ML) and Large Language Models (LLMs). Our mission is to provide advanced security assurance for AI applications, ensuring they are safe as possible from evolving cyber threats in the digital landscape.
Our expert team conducts specialised penetration tests on AI and ML applications. By simulating sophisticated cyber-attacks, we identify vulnerabilities in your AI systems, particularly LLMs. Dionach’s approach to AI security testing aligns with the OWASP Top Ten for LLM Applications, ensuring your AI applications meet global security standards.
Prior to testing, Dionach will work with you to determine the scope of testing in terms of LLM, application boundaries, environment, and dependent systems. Post-testing, Dionach provides comprehensive penetration test reports, detailing vulnerabilities in your AI applications and offering strategic remediation plans to enhance their security posture.
We provide more than just vulnerability assessments; our proactive manual penetration testing service, focusing on the OWASP Top Ten for LLM Applications, help provide assurance for the security of your AI and ML applications.
Dionach provides specialised AI penetration testing for machine learning (ML) and large language models (LLMs). We identify vulnerabilities, align with OWASP standards, and deliver tailored reports with actionable remediation plans. Our expert-led testing ensures your AI applications are secure, resilient, and compliant with global security standards.
We deliver the whole spectrum of cyber security services, from long-term, enterprise wide strategy and implementation projects to single penetration tests.
Our team works with you to identify and assess your organisation’s vulnerabilities, define enterprise-wide goals, and advise how best to achieve them.
Our recommendations are clear, concise, pragmatic and tailored to your organisation.
Independent, unbiased, personalised – this is how we define our services. We guide you to spend wisely and invest in change efficiently.
Our recommendations are clear, concise, pragmatic and tailored to your organisation.
Independent, unbiased, personalised – this is how we define our services. We guide you to spend wisely and invest in change efficiently.
