Advanced AI security testing focused on Large Language Models and AI systems
Why AI Penetration Testing?
AI systems, particularly large language models, are complex and can be vulnerable to unique types of attacks such as adversarial inputs and data poisoning. Testing your AI infrastructure for security weaknesses is essential to prevent misuse, protect intellectual property, and ensure the integrity of AI-driven decision-making. Our AI Penetration Testing services uncover hidden vulnerabilities in your AI models and systems, enabling you to fortify defenses and maintain the trust of users and stakeholders.
Key Features:
- LLM OWASP Top 10 Assessment
- GenAI applications Security
- Model Security Evaluation
- Attacking the end-to-end AI ecosystem
- AI System Architecture Review
Our Approach
Prompt Injection Analysis
Testing against various prompt injection techniques to ensure model robustness
Data Security Assessment
Evaluating training data security and potential data leakage vectors
Model Vulnerability Testing
Testing for model extraction, inversion, and membership inference attacks
Output Validation
Testing model output sanitization and validation mechanisms
Benefits
Early detection of AI-specific vulnerabilities
Compliance with emerging AI security standards
Protection against model theft and manipulation
Secure AI deployment recommendations