AI PENETRATION TESTING
Is Your AI Safe From Attack?
Artificial Intelligence is rapidly becoming part of everyday business operations, from customer service chatbots and internal assistants to automated decision-making tools and AI-powered applications.
However, AI introduces a new category of security risks that traditional penetration testing was never designed to identify.
Prompt injection, model manipulation, sensitive data leakage, insecure integrations and third-party model dependencies can all create unexpected vulnerabilities that expose organisations to operational, regulatory and reputational risk.
As organisations continue to adopt AI technologies, understanding how these systems behave under attack is becoming just as important as testing traditional infrastructure, applications and networks.
RightCue’s AI Penetration Testing service helps organisations identify weaknesses before they become business problems.
Why AI Security Matters
Unlike traditional applications, AI systems are designed to generate responses, make decisions and interact dynamically with users and data.
This creates entirely new attack paths that may not be detected through conventional security testing.
An attacker may not need to exploit a software vulnerability to compromise an AI system. Instead, they may manipulate prompts, influence model behaviour, extract sensitive information or abuse automated actions performed by AI agents.
As AI adoption grows, organisations need confidence that these systems are operating securely, responsibly and in line with their wider cyber security and governance obligations.
How RightCue Tests AI Systems
Our AI Penetration Testing service simulates real-world attacks against Large Language Models (LLMs), AI-powered applications, Retrieval-Augmented Generation (RAG) environments and machine learning workflows.
The objective is simple: identify how an attacker could manipulate, bypass or abuse your AI systems before they have the opportunity to do so.
Testing is conducted using recognised industry frameworks, including:
- OWASP Top 10 for Large Language Model Applications
- MITRE ATLAS (Adversarial Threat Landscape for Artificial Intelligence Systems)
- AI-specific adversarial testing methodologies
- Secure AI development and deployment best practices
As with all RightCue services, findings are presented in clear, business-focused language, helping both technical and non-technical stakeholders understand the risks and prioritise remediation.
What We Test
Typical Risks We Help Identify
Clear Guidance. Practical Assurance.
Artificial Intelligence presents significant opportunities for organisations, but it also introduces new security, governance and resilience considerations.
Our role is to help organisations understand where genuine risks exist, provide independent assurance and support informed decision-making as AI adoption continues to evolve.
Whether you are exploring AI for the first time, deploying internal AI assistants or integrating AI into business-critical processes, RightCue can help you navigate the journey with confidence.
Knowledge Hub
To find out more about our AI Penetration Testing Service and how it can proactively help to keep your business secure read our useful articles and guides:
