AI Security Review FAQs

Secure your AI systems with confidence - Toro’s AI Security Review helps you understand risks, strengthen controls, and meet emerging standards.

As artificial intelligence becomes more deeply embedded in business operations, the risks associated with AI models, data pipelines, and system behaviour are increasingly coming under scrutiny. Toro’s AI Security Review helps you identify vulnerabilities in your AI systems, assess compliance with best practices, and develop a strategy for safer, more resilient AI use. This FAQ page explains what an AI Security Review involves, why it matters, and how Toro supports organisations operating at the intersection of innovation and risk.

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An AI Security Review is a specialist assessment of the design, deployment, and security posture of artificial intelligence systems. It focuses on identifying risks linked to data handling, model bias, unauthorised access, adversarial manipulation, and compliance with security and privacy standards. Toro’s AI Security Review helps organisations understand where vulnerabilities lie within their AI ecosystems - and provides expert recommendations to address them.

AI systems can introduce new and complex risks - from data leakage and algorithmic bias to model inversion and adversarial attacks. These risks may not be fully addressed by traditional cyber security reviews. An AI Security Review helps ensure that your systems are robust, ethical, secure, and compliant with evolving regulations such as the EU AI Act and UK AI safety frameworks. Toro’s review helps organisations balance innovation with responsibility and risk management.

Toro’s AI Security Review includes a comprehensive examination of your AI system’s architecture, training data, model integrity, access controls, and operational security. We assess areas such as data provenance, input validation, model drift, logging, API security, and response to adversarial inputs. The review also considers governance, human oversight, transparency, and regulatory alignment. Our final report provides a detailed set of findings, risk ratings, and remediation recommendations tailored to your AI environment.

Any organisation developing, deploying, or integrating AI solutions can benefit from an AI Security Review. This includes businesses using machine learning for automation, finance, healthcare, HR, customer insights, or fraud detection. Toro supports both AI-first companies and those adopting AI through third-party vendors or cloud platforms. Whether you’re managing a bespoke model or integrating off-the-shelf tools, we help you understand and secure your AI-related risk exposure.

Traditional cyber security reviews focus on networks, devices, endpoints, and user behaviour. While valuable, they often don’t assess AI-specific risks - such as model manipulation, algorithmic fairness, or training data vulnerabilities. An AI Security Review is purpose-built to examine how AI technologies are secured and governed. Toro offers both types of review and can integrate them into a holistic assessment where needed, ensuring your AI systems are not a blind spot in your security posture.

Yes. Regulatory scrutiny around AI is increasing rapidly, with emerging laws and standards across the UK, EU, and internationally. Toro’s AI Security Review helps you align with key frameworks such as the UK AI Regulation White Paper, EU AI Act, ISO/IEC 42001, and NCSC guidance. We provide a practical analysis of how your system aligns with these standards and what steps are needed to meet them. This is especially valuable for high-risk or high-impact AI use cases.

Common issues identified in AI Security Reviews include insufficient data governance, poor documentation, unmonitored model drift, insecure APIs, unauthorised access to training sets, lack of audit logging, and inadequate adversarial testing. We also identify ethical risks such as bias, unfair decision-making, and lack of explainability. Toro’s review helps you understand these risks in the context of your business, assess their severity, and prioritise mitigation actions.

The duration depends on the complexity of the AI system under review. A single-model deployment with clearly defined data inputs may take 5 to 10 working days. More complex reviews involving multiple models, sensitive data, or regulated sectors may take several weeks. Toro works with you to define the scope and timeline upfront, ensuring minimal disruption and maximum value. We also offer phased reviews for organisations building long-term AI capabilities.

No. Toro’s AI Security Review is designed to be non-intrusive and non-disruptive. We typically review system documentation, access controls, architecture, test environments, and historical data - rather than interacting with production systems. Where direct access is required, we schedule activity with your teams to ensure continuity. Our aim is to provide a thorough risk assessment without interfering with your day-to-day operations or ongoing AI development.

You can request an AI Security Review by contacting us via our website or speaking directly with our cyber security and AI risk teams. We’ll begin with an initial consultation to understand your AI usage, regulatory exposure, and business goals. From there, we’ll define a bespoke review plan and deliver a structured, expert-led assessment that gives you the clarity, insight, and guidance needed to secure your AI systems with confidence.

What our clients say

“Toro’s findings provided a firm security foundation upon which Alpro will continue to review and improve. We would highly recommend their services to others.”
alpro
Metin Fevzi
Plant Director - Alpro
“Toro’s team conducted a comprehensive physical security and systems review of the vast site and helped ensure a secure and effective staged transition to the Riverlinx Consortium.”
TfL
Mark Ulatowski
Project Manager - Transport for London

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