Red AI Sys
Advanced AI Security Evaluation & Vulnerability Assessment
Specialised cyber security services for evaluating AI systems, discovering vulnerabilities in LLMs, and ensuring the safety and security of AI-powered applications across diverse environments.
Core Services
🔍 LLM Security Assessment
Comprehensive evaluation of Large Language Models for safety risks, prompt injection vulnerabilities, and alignment issues. Our methodology is backed by peer-reviewed research on LLM fine-tuning safety.
🛡️ AI System Penetration Testing
Red team exercises specifically designed for AI-powered applications, identifying vulnerabilities in model deployment, data pipelines, and inference systems.
🔒 IoT & Edge AI Security
Security assessment for AI systems deployed on resource-constrained devices, including vulnerability analysis for federated learning implementations and edge computing environments.
📊 Privacy Impact Assessment
Evaluation of privacy threats in AI systems, particularly focusing on federated learning architectures and distributed AI deployments with comprehensive threat modelling.
Research Foundation
Our methodology is grounded in leading-edge research in AI security and safety, with publications in top conferences and journals forming the scientific basis for our security assessments.
- LLM Safety Analysis: Systematic evaluation of safety risks in fine-tuned LLMs using the OWASP Top 10 framework. See our publication: Analysing Safety Risks in LLMs Fine-Tuned with Pseudo-Malicious Cyber Security Data.
- Federated Learning Privacy: Comprehensive review of privacy threats and countermeasures in IoT federated learning, published in IEEE iThings 2024.
- IoT Security Research: Insights into ransomware threats in resource-constrained Industrial IoT networks, to appear in DCOSS-IoT 2025.
- AI Safety Datasets: Creation of datasets for analysing LLM safety, available via our CyberLLMInstruct dataset and code repository.
Why Choose Red AI Sys?
- 🎯 Research-Backed Methodology: Assessments based on peer-reviewed research and academic rigour for thorough vulnerability identification.
- 🔬 Specialised AI Focus: Exclusive focus on AI system security, addressing the unique challenges of LLMs, neural networks, and ML pipelines.
- 📈 Cutting-Edge Techniques: Utilisation of the latest methods, including prompt injection testing, model poisoning detection, and safety alignment evaluation.
- 🌐 Comprehensive Coverage: Security assessments for the full AI deployment spectrum, from cloud to edge and IoT.
Industry Applications
- Financial Technology: Securing LLM-powered financial advisers and fraud detection systems
- Healthcare AI: Ensuring privacy and safety in medical AI applications
- Industrial IoT: Protecting AI-enabled manufacturing and industrial control systems
- Autonomous Systems: Security assessment for self-driving vehicles and robotic systems
- Enterprise AI: Evaluation of corporate AI assistants and decision-making systems
Ready to Secure Your AI Systems?
Contact us to discuss your AI security needs and learn how our research-backed methodology can help identify and mitigate vulnerabilities in your AI systems.
Red AI Sys - Founded on rigorous research, delivering practical security solutions for the AI era.