AI Security Assessment

An AI security risk assessment is a systematic process for identifying, evaluating, and mitigating threats and vulnerabilities unique to AI systems, such as adversarial attacks, data privacy issues, and algorithmic bias, to ensure safe and reliable AI deployment.

Our team will perform a comprehensive evaluation of your AI systems and usage against the NIST AI Risk Management Framework and provide a formal documented report detailing an analysis of risks based on likelihood and impact, with clear categorisation across areas such as confidentiality, integrity, availability, safety, and compliance.

It also documents recommended mitigation strategies, residual risks that remain after controls are applied, and a roadmap for ongoing monitoring and governance to ensure the AI system remains secure and trustworthy throughout its lifecycle.

AI Secure Design Review

An AI Secure Design Review is a structured evaluation of an AI system’s design to ensure that security, safety, and trustworthiness considerations are built in from the start before development or deployment.

We can help to design secure AI frameworks and examine data handling practices, model robustness, access controls, and integration points to identify potential vulnerabilities such as adversarial attacks, data leakage, or misuse.

The review also considers compliance, monitoring, and ethical principles like fairness and accountability. Its outcome is a set of prioritised recommendations that guide teams in building AI systems that are secure, resilient, and aligned with regulatory and organizational requirements.

AI Regulatory Compliance

AI Regulatory Compliance is the practice of ensuring that artificial intelligence systems meet all applicable legal, ethical, and technical requirements. It involves aligning with regulations such as the EU AI Act, GDPR, and sector-specific laws, while also addressing principles of fairness, transparency, accountability, and human oversight. Compliance requires strong data governance, bias prevention, security controls, and clear documentation to demonstrate that AI systems are safe, trustworthy, and lawful throughout their lifecycle

Our team can help to ensure your AI applications meet industry standards including compliance or full certification to ISO/IEC 42001 (the international standard for Artificial Intelligence Management System).

ISO 42001 is an international Standard dedicated to the management of AI systems. It provides a comprehensive framework that helps organisations develop, implement, and maintain AI technologies responsibly. The management system is designed to fit the specific risks and needs your business faces with the use of AI. This means you get a tailored approach that’s right for your business.

AI Penetration Testing

AI Penetration testing is the process of assessing the security of artificial intelligence systems, like large language models (LLMs) and chatbots, to find vulnerabilities that could lead to data breaches or disruption.

Unlike traditional Penetration testing, it focuses on AI-specific risks such as adversarial inputs, data poisoning, model extraction, and prompt injection, as well as weaknesses in APIs and deployment environments. The goal is to identify and mitigate security gaps, strengthen resilience, and ensure the AI system remains robust, trustworthy, and compliant before and after deployment.

Let us help secure your AI journey