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

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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