LLM Security Services
Advanced security assessment for Large Language Models covering OWASP Top 10 for LLMs and industry compliance standards.
LLM Security
Comprehensive LLM Security Testing
Advanced security assessment for Large Language Models covering OWASP Top 10 for LLMs and industry compliance standards. Our testing methodology identifies vulnerabilities specific to AI/ML systems including prompt injection, data poisoning, and model theft prevention.
Investment Range
€2,500 to €8,000+
Based on model complexity, integration scope, and compliance requirements
Black-box
External Assessment
External testing without access to model architecture or training data. Focuses on input/output behavior analysis and prompt injection techniques.
KEY AREAS:
Prompt injection attacks, output manipulation, adversarial inputs, boundary testing
Gray-box
Hybrid Assessment
Partial access to system documentation and API specifications. Combines external testing with limited internal knowledge.
KEY AREAS:
API security, integration vulnerabilities, data flow analysis, plugin security
White-box
Internal Assessment
Complete access to model architecture, training data, and source code. Comprehensive security review of the entire LLM ecosystem.
KEY AREAS:
Training data poisoning, model theft prevention, supply chain security, sensitive data disclosure
Custom
Tailored Solution
Bespoke testing methodology designed for specific LLM implementations, industry requirements, or unique security concerns.
KEY AREAS:
Compliance-specific testing (HIPAA, PCI DSS, GDPR), domain-specific vulnerabilities, custom threat modeling
Standards & Frameworks Covered
OWASP Top 10 for LLMs
- LLM01: Prompt Injection
- LLM02: Insecure Output Handling
- LLM03: Training Data Poisoning
- LLM04: Model Denial of Service
- LLM05: Supply Chain Vulnerabilities
- LLM06: Sensitive Information Disclosure
- LLM07: Insecure Plugin Design
- LLM08: Excessive Agency
- LLM09: Overreliance
- LLM10: Model Theft
Compliance Standards
- PCI DSS (Payment data handling)
- HIPAA (Healthcare data)
- GDPR (Data privacy)
- NIST AI Risk Management Framework