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LLM Application Security Assessment

Security assessment for LLM-powered applications including prompt engineering risks and integration vulnerabilities

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Our LLM Application Security Assessment evaluates LLM-powered applications following OWASP AI Testing Guide methodology to identify security vulnerabilities in application integration, prompt engineering risks, API security, and user interaction flows. We assess how LLM models are integrated into applications and identify potential attack vectors.

What's Included

Application integration security assessment

Prompt engineering vulnerability testing

API security and authentication review

User input validation and sanitization testing

Session management and access control evaluation

Data flow and privacy analysis

كيف يعمل

1
Application Discovery
We analyze your LLM application architecture, integration points, and user interaction flows
2
Integration Testing
Comprehensive testing of LLM integration, API security, and prompt handling mechanisms
3
Security Analysis
Evaluation of authentication, authorization, data flow, and privacy controls
4
Reporting & Guidance
Detailed findings with prioritized remediation recommendations and security best practices
Deliverables
  • Executive summary with risk assessment
  • Detailed technical security report
  • Vulnerability findings with remediation steps
  • Security best practices guide for LLM applications
  • Integration security recommendations
  • Re-testing support

لماذا حافظ سيكيور

Application Security Expertise
Deep understanding of LLM application security and integration vulnerabilities
Comprehensive Testing
Thorough evaluation of all application components and integration points
Real-World Scenarios
Testing based on real-world attack scenarios and threat models
Actionable Recommendations
Clear, prioritized guidance for securing LLM applications

الأسئلة الشائعة

What is LLM Application Security Assessment?

LLM Application Security Assessment evaluates how Large Language Models are integrated into applications, testing for prompt engineering vulnerabilities, API security issues, authentication flaws, and data privacy concerns.

How is this different from LLM Model Assessment?

While LLM Model Assessment focuses on the model itself, LLM Application Assessment evaluates how the model is integrated into applications, including API security, user interactions, and application-level vulnerabilities.

What vulnerabilities are tested in LLM applications?

We test for prompt injection vulnerabilities, insecure API integrations, authentication and authorization flaws, data leakage, session management issues, and privacy violations.

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