AI & LLM Security Assessment
Secure your AI systems before they become attack vectors. We specialise in testing LLM applications, ML pipelines, and AI-powered services against emerging AI-specific threats.
What We Deliver
AI systems introduce entirely new attack surfaces that traditional security testing doesn't cover. Prompt injection, training data poisoning, model theft, and adversarial examples require specialised expertise to test and mitigate.
Our AI security team combines deep ML knowledge with offensive security skills. We test your LLM applications, chatbots, recommendation engines, and ML pipelines against the OWASP Top 10 for LLMs and emerging AI-specific threats.
Key Deliverables
How We Work
AI Threat Modelling
We map your AI system architecture, identify trust boundaries, and model AI-specific threats including data poisoning, model inversion, and prompt injection.
Adversarial Testing
We perform systematic adversarial testing of your AI systems, including prompt injection attacks, jailbreak attempts, and data extraction techniques.
Pipeline Security Review
We review your ML training pipeline, data handling, model storage, and deployment infrastructure for security vulnerabilities.
Governance & Recommendations
We provide an AI risk framework with controls, monitoring recommendations, and governance policies for responsible AI deployment.
Why Choose Us
OWASP Top 10 for LLMs
Full coverage of the OWASP Top 10 for Large Language Model Applications including prompt injection, insecure output handling, and training data poisoning.
Adversarial ML Expertise
Deep expertise in adversarial machine learning, with published research in AI security at leading conferences.
Responsible AI
Help you implement responsible AI practices including bias detection, fairness assessment, and explainability frameworks.
Regulatory Compliance
Align your AI governance with emerging regulations including the EU AI Act and ISO/IEC 42001.
Ready to get started with AI Security Testing?
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