# LLM & AI Application Security Testing - DSecure.me > Specialized security testing for LLM-powered applications, ChatGPT integrations, and AI agents. Protect against prompt injection, data leakage, and AI-specific vulnerabilities. Source: https://dsecure.me/en/llm-pentest/ --- # LLM & Agentic Apps Penetration Testing AI-powered applications face unique security challenges. Protect your LLM integrations and AI agents from prompt injection, data poisoning, and emerging AI-specific threats. Large Language Models and AI agents are transforming how businesses interact with customers and process information. Applications powered by GPT-4, Claude, and other LLMs offer unprecedented capabilities - but they also introduce entirely new security risks that traditional penetration testing doesn't cover. Unlike conventional software, LLMs can be manipulated through natural language. Prompt injection attacks can trick AI systems into ignoring safety guidelines, exposing sensitive data, or performing unauthorized actions. AI agents that interact with databases, APIs, and external systems can become attack vectors if not properly secured. The consequences range from data breaches and privacy violations to reputational damage and regulatory fines. Our specialized LLM and agentic application testing addresses security challenges unique to AI-powered systems. We test for prompt injection vulnerabilities, data leakage through model outputs, insecure agent integrations, and compliance with emerging AI regulations. Whether you're building customer-facing chatbots, internal AI assistants, or complex multi-agent systems, we help you deploy AI safely and securely. ### Our Approach Our testing methodology incorporates the OWASP Top 10 for LLM Applications, the first industry framework specifically addressing AI security. This emerging standard covers unique risks like prompt injection, model denial of service, and insecure plugin design that don't appear in traditional security frameworks. We combine this with established OWASP practices for web and API security, recognizing that LLM applications are built on traditional web infrastructure. Our expertise spans both traditional application security and cutting-edge AI risks, ensuring comprehensive protection for your AI-powered systems. ### Get In Touch Email contact@dsecure.me Address ul. Na Grobli 12 bud. L3 pok. 021 50-421 Wrocław [About Us](/en/#about) ## What We Can Help With ### Prompt Injection Attack Testing Test resistance to malicious prompt manipulation and jailbreaking We attempt various prompt injection techniques to bypass safety mechanisms and manipulate your AI's behavior. This includes direct injection attacks, indirect injection through data poisoning, jailbreak attempts, and role-play scenarios designed to make the AI ignore its instructions. We test whether attackers could manipulate your LLM to leak sensitive information, generate harmful content, or perform unauthorized actions that could damage your business or users. ### Sensitive Data Exposure & Privacy Verify your LLM application doesn't leak confidential information We test whether your AI system could inadvertently expose sensitive data from training materials, conversation history, or system prompts. We examine data retention practices, conversation privacy, and whether the model can be manipulated into revealing information about other users, internal systems, or confidential business data. We verify compliance with GDPR, CCPA, and other privacy regulations relevant to AI systems. ### Agent Security & Tool Integration Assess security of AI agents that interact with external systems AI agents that can access databases, APIs, file systems, or external services introduce unique risks. We test whether these integrations are properly secured - examining authentication mechanisms, authorization boundaries, input validation, and whether an attacker could manipulate the agent into performing unauthorized database queries, API calls, or file operations. We verify that agents can't be tricked into escalating privileges or accessing resources beyond their intended scope. ### Model & Training Data Poisoning Evaluate susceptibility to adversarial inputs and data manipulation We test whether your application is vulnerable to data poisoning attacks where malicious inputs could influence model behavior or cause denial of service through adversarial examples. For applications that use retrieval-augmented generation (RAG) or fine-tuning, we examine whether attackers could inject malicious content into knowledge bases or training data. We assess the security of your data pipelines and vector databases used for AI applications. ### OWASP LLM Top 10 Vulnerabilities Comprehensive testing against emerging LLM security standards We test for all OWASP LLM Top 10 vulnerabilities including prompt injection, insecure output handling, training data poisoning, model denial of service, supply chain vulnerabilities, sensitive information disclosure, insecure plugin design, excessive agency, overreliance, and model theft. This emerging framework represents the cutting edge of LLM security and ensures comprehensive coverage of AI-specific risks that traditional security testing misses. ### Output Validation & Filtering Test for harmful, biased, or unauthorized content generation We examine whether your application properly validates and sanitizes LLM outputs before presenting them to users or using them in downstream systems. We test for generation of harmful content, injection of malicious code (XSS, SQL injection) through AI outputs, and whether output filtering can be bypassed. We also assess whether the AI could generate outputs that violate your usage policies, regulatory requirements, or ethical guidelines. ## Ready to Get Started? Contact us for a free consultation and security assessment. ### Get Expert Advice Our cybersecurity experts are ready to discuss your specific needs and provide tailored solutions for your business. Email Us [contact@dsecure.me](mailto:contact@dsecure.me) [ Get in Touch Fill out our contact form ](/en/#contact) ## Related Services Explore our other cybersecurity and IT solutions. [ ### API Penetration Testing Secure the APIs that power your web application with comprehensive security testing for REST, GraphQL, and SOAP architectures. Learn more ](../api-pentest/)[ ### Threat Modelling Identify security risks before development begins. Build secure architectures from the ground up with expert threat modeling guidance. Learn more ](../threat-modelling/)[ ### Web Application Penetration Testing Protect your web applications from cyber threats with comprehensive security testing following OWASP standards and best practices. Learn more ](../web-pentest/)