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Qualysec did a great job identifying vulnerabilities in our web and cloud applications and gave us clear steps to fix them. They stuck to deadlines, handled re-tests, and supported well.
Kenny Kim
Product Manager
LLM Penetration Testing Services
Qualysec's LLM penetration testing services help you identify and exploit vulnerabilities specific to language models, including prompt injection, jailbreaking, insecure output handling, and sensitive data leakage. We also provide actionable remediation guidance to ensure your LLM-powered products are secure, compliant, and trustworthy.
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Fortune 100 to startup we secure them all
DEFINITION
What is a Large Language Model (LLM)?
Secure your AI systems today! Choose Qualysec to uncover AI vulnerabilities before attackers exploit them.
A large language model (LLM) is an advanced AI system trained on vast amounts of text data to understand, generate, and reason with human language. LLMs such as GPT, Claude, Gemini, and Llama power a wide range of modern applications, from AI chatbots and virtual assistants to code generators, document analyzers, and autonomous AI agents. As organizations integrate LLMs into their products and workflows, these models become high-value targets that introduce a new class of security risks distinct from traditional software vulnerabilities.
Vulnerabilities
Common AI Security Vulnerabilities
Testing AI models, agents, and LLM applications to uncover vulnerabilities before attackers do.
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Prompt Injection
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Jailbreaking
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Data Leakage
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Data Poisoning
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AI Hallucinations
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AI agentic vulnerabilities
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Supply chain Attack
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RAG Testing
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Bias and Toxicity
Process
Our AI Red Teaming Process
At Qualysec, we tailor every AI red teaming engagement to match your threat model, organizational maturity, and the level of access available to our team. Each approach uncovers a distinct layer of risk in your AI systems.
Define Scope
Information Gathering
Enumeration
Attack and Penetration
Reporting
Remediation Testing
Define Scope
We define the scope based on your AI models, data flows, integrations, and real usage scenarios to ensure complete coverage of critical components.
"Don't compromise between depth and speed. Own both. Connect with Swagat, Your trusted penetration testing advisor."
Swagat Kumar Dash
Head Of Business Development
Testimonials
What Our Clients Say About Us
Read what our clients say about our services. See how Qualysec has helped several businesses to keep their digital assets safe!
Key Benefits
Benefits of Conducting LLM Penetration Testing
Regular LLM penetration testing gives your organization a clear, evidence-based understanding of your language model's security weaknesses to ship safer AI products, protect user data, and meet the growing compliance demands of the AI era.
Identify Prompt Injection & Jailbreak Risks
Discover how susceptible your LLM application is to prompt injection, indirect prompt injection, and jailbreaking.
Protect Sensitive Data from LLM Leakage
Prevent attackers from extracting confidential system prompts, user data, proprietary knowledge base content.
Secure LLM Plugin & Tool Integrations
Validate the security of every external tool, API, and plugin connected to your LLM to close the insecure integration gaps that attackers can exploit.
Meet OWASP, NIST & EU AI Act Requirements
Receive a pentest report mapped to OWASP Top 10 for LLMs, NIST AI RMF, and EU AI Act obligations.
Accelerate Enterprise Sales & Procurement
A verified LLM penetration testing report and letter of attestation removes a key blocker in enterprise security reviews.
Deploy LLM Applications with Confidence
Go to market knowing your LLM-powered product has been rigorously tested against real-world attack scenarios for reducing the risk of post-launch security incidents.
Other Types
Different Types of AI Red Teaming Engagements
At Qualysec, we tailor every AI red teaming engagement to match your threat model, organizational maturity, and the level of access available to our team. Each approach uncovers a distinct layer of risk in your AI systems.
Black Box AI Red Teaming
Our team simulates an external adversary with no prior knowledge of your AI system – no model details, no system prompts, no architecture access. This approach tests how your AI application holds up against real-world attackers who interact with it exactly as end users or threat actors would.
White Box AI Red Teaming
With full access to your model architecture, system prompts, training pipeline, and integration details, our red team performs the most thorough adversarial assessment possible. This helps uncover deep logic flaws, alignment weaknesses, and vulnerabilities invisible to external testing alone.
Gray Box AI Red Teaming
Combining both approaches, our team operates with limited internal context, such as knowledge of the model type or general system behavior, while simulating a semi-informed adversary. This balanced method delivers comprehensive AI security insights.
Free Downloads
Download Our Free AI Red Teaming Resources and Reports
Access practical resources from Qualysec to understand how AI Chatbot Security testing works and what to expect during a real assessment.
AI Security Testing Report
A detailed sample report from a real AI red teaming engagement covers adversarial vulnerability findings, severity ratings, proof-of-concept attack scenarios, and actionable remediation recommendations.
AI Security Testing Methodology
A step-by-step breakdown of Qualysec's AI red teaming methodology covers threat modeling, adversarial attack simulation, safety and alignment evaluation, and risk analysis. Understand exactly how we stress-test AI systems against different threats.
AI Security Testing Checklist
A comprehensive AI red teaming checklist aligned with OWASP Top 10 for LLMs, NIST AI RMF, and EU AI Act requirements. Use it to assess your AI system's readiness before a formal engagement, track remediation progress, or validate your internal AI security controls.
Process To Start Assessment
How to Begin Securing Your App with Qualysec
Key steps to start protecting your web application from cyber threats.
1
Contact us↗
Reach out to us and our friendly team will listen to your concerns and understand your unique security needs. Whether you prefer a call, email, or chat, we're ready to start your journey towards a more secure web app.
2
Pre-Assessment Form↗
We send you a simple pre-assessment form to fill up with the appropriate information. This helps us understand your app's architecture, current security measures, and specific concerns.
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Proposal Meeting↗
After we review our findings from the pre-assessment and outline our proposed approach, we discuss security strategy and answer any questions you may have through either online or face-to-face meetings.
4
NDA and Agreement Signing↗
We get a clear Non-Disclosure Agreement signed by you to protect your sensitive information. We finalize our service agreement after you are completely satisfied. This helps us both know exactly what to expect from our partnership.
5
Pre-requisite Collection↗
We provide our clients with a checklist of everything we need to begin testing, such as access credentials and documentation. Our team assists and ensures a smooth start to your app's security enhancement journey.
Get a Quote
Protect Your AI API from Emerging Threats
Request a tailored quote from Qualysec and understand how advanced security testing can help protect your APIs from unauthorized access and evolving attack techniques.
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FAQ
Frequently Asked Questions
Request a tailored quote from Qualysec and understand how advanced security testing can help protect your APIs from unauthorized access and evolving attack techniques.
LLM penetration testing is a specialized security assessment that simulates real-world adversarial attacks against large language model applications to identify exploitable vulnerabilities before hackers can exploit them. It follows methodologies such as the OWASP Top 10 for LLM Applications to ensure comprehensive coverage.
LLMs introduce a fundamentally new attack surface that traditional application security tools are not equipped to test. Vulnerabilities like prompt injection and indirect prompt injection can allow attackers to bypass safety controls, extract sensitive data, manipulate outputs, or take over agentic workflows.
The OWASP Top 10 for LLM Applications is the industry-standard framework for LLM security risks. It covers 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. Qualysec's LLM pentesting methodology is fully aligned with this framework.
Qualysec can test any LLM-powered application regardless of the underlying model. These include those built on GPT-4, Claude, Gemini, Llama, Mistral, or custom fine-tuned models. We test chatbots, copilots, RAG-based document systems, AI agents, code assistants, and multi-model pipelines across industries including fintech, healthcare, SaaS, legal, and enterprise software.
Prompt injection is an attack where a malicious actor crafts inputs that override or manipulate an LLM's system instructions, causing it to behave in unintended ways, such as revealing confidential system prompts, bypassing safety filters, executing unauthorized actions, or leaking user data. It is one of the most critical LLM vulnerabilities and is ranked first in the OWASP Top 10 for LLM Applications.
Yes, increasingly so. The EU AI Act requires conformity assessments and risk management for high-risk AI systems, NIST AI RMF recommends adversarial testing as a core risk governance practice, and enterprise procurement teams routinely request evidence of AI security testing. Qualysec's reports are structured to support all of these compliance and due diligence requirements.
A standard LLM penetration testing engagement typically takes 1–3 weeks depending on the complexity of your application, the number of integrations in scope, and the depth of testing required. RAG systems, multi-agent pipelines, and applications with extensive plugin ecosystems may require additional time. Qualysec defines a clear timeline during the scoping call.
You receive a comprehensive LLM penetration testing report covering all findings with severity ratings, proof-of-concept demonstrations, business impact analysis, and prioritized remediation recommendations mapped to OWASP LLM Top 10. You also receive a letter of attestation confirming the assessment was conducted, suitable for enterprise clients, compliance audits, and regulatory submissions.