Our AI Penetration Testing services are tailored to address the unique security requirements of AI providers, producers, and customers. We offer specialized penetration testing offerings for each role within the AI ecosystem, ensuring comprehensive security assessments and mitigation strategies.

The CREST Advantage 

As a CREST-accredited company, IARM adheres to the highest cybersecurity industry standards. CREST certification ensures that our testing methodologies, legal and regulatory requirements, data protection standards, and data security practices meet stringent criteria. This guarantees the utmost security and confidentiality throughout the testing process. 

1. Model Robustness Testing
   • Evaluate the resilience of AI models against adversarial attacks and input manipulations, ensuring their reliability in real-world scenarios.
2. API Security Assessment
   • Assess the security of APIs used to access and interact with AI services, protecting against unauthorized access, injection attacks, and data breaches.
3. Model Poisoning Testing
   • Assess the vulnerability of AI models to data poisoning attacks, where adversaries manipulate training data to compromise model performance.
   • Evaluate the effectiveness of model training mechanisms in detecting and mitigating data poisoning attacks.
4. Adversarial AI Testing
   • Utilizing adversarial AI techniques to assess the robustness of AI models against malicious inputs and adversarial attacks.
5. Model Fuzzing
   • Employing fuzzing techniques to generate diverse and unexpected inputs to AI models, uncovering potential vulnerabilities and edge cases.
6. Model Poisoning Testing
   • Evaluating the susceptibility of AI models to data poisoning attacks, where adversaries manipulate training data to compromise model performance.
7. Model Evasion Testing:
   • Testing the resilience of AI models against evasion techniques, such as input perturbations and evasion attacks on classification models