LLM Model Security Assessment
Security assessment of Large Language Models including prompt injection, model extraction, and training data leakage
Our LLM Model Security Assessment provides comprehensive evaluation of Large Language Models following OWASP AI Testing Guide methodology to identify security vulnerabilities specific to AI systems, including prompt injection attacks, model extraction risks, training data leakage, and adversarial inputs.
What's Included
Prompt injection vulnerability testing (direct and indirect)
Model extraction and reverse engineering assessment
Training data leakage and privacy analysis
Adversarial input testing and robustness evaluation
Model behavior analysis under attack scenarios
Security configuration and deployment review
How It Works
- Executive summary with risk overview
- Detailed technical assessment report
- Vulnerability findings with CVSS scores
- Prioritized remediation roadmap
- Security best practices guide for LLM deployment
- OWASP AI Testing Guide compliance report
- Re-testing and validation support
Why HafezSecure
Frequently Asked Questions
LLM Model Security Assessment is a specialized security evaluation following OWASP AI Testing Guide methodology, focused on identifying vulnerabilities specific to Large Language Models, including prompt injection, model extraction, training data leakage, and adversarial attacks.
Assessment duration depends on model complexity and scope, typically ranging from 2-4 weeks for comprehensive evaluation.
Following OWASP AI Testing Guide, we test for prompt injection (direct and indirect), model extraction, training data leakage, adversarial inputs, insecure configurations, and deployment vulnerabilities specific to LLM models.
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