AI Application Penetration Test
Custom LLM-based applications introduce an entirely new class of vulnerabilities that traditional penetration testing was never designed to uncover. The attack surface extends far beyond the model itself, spanning prompt handling, data pipelines, plugin integrations, output processing, and the underlying application infrastructure. Our AI Application Penetration Test is a manual, hands-on assessment aligned with the OWASP Top 10 for LLM Applications, targeting every layer of your AI ecosystem.
Get StartedSecurity Testing Built for AI
Whether your AI solution handles customer-facing interactions or powers internal workflows, we simulate real-world adversaries targeting every layer of your AI ecosystem. Our engineers manually probe prompt handling, model behavior, plugin integrations, output processing, and the application infrastructure housing the model.
AI Application Testing Exercises
Prompt Injection Testing
Crafting direct and indirect injections to override system instructions, bypass guardrails, and manipulate model behavior through untrusted input channels.
System Prompt & Data Leakage
Extracting system prompt contents, embedded credentials, internal operational logic, and sensitive configuration details exposed through model outputs.
Excessive Agency & Plugin Abuse
Identifying overpermissioned AI agents, abusing tool and plugin access, and exploiting autonomous actions that can affect adjacent systems or data.
Insecure Output Handling
Testing how model-generated content is processed downstream, including XSS via AI output, SSRF, command execution, and unsafe rendering in connected systems.
RAG & Vector Database Security
Assessing RAG pipeline integrity through embedding poisoning, similarity-based retrieval abuse, and unauthorized access to vector databases and knowledge stores.
AI Supply Chain & Model Integrity
Evaluating third-party model dependencies, fine-tuned model integrity, and the security of data pipelines, training sets, and external AI service integrations.
Application Layer Security
Testing the application housing the AI model for authentication flaws, IDOR in chat interfaces, API misconfigurations, and traditional OWASP vulnerabilities amplified by AI context.
Unbounded Consumption & DoS Resistance
Testing for resource exhaustion, denial-of-wallet attacks via excessive API consumption, oversized input abuse, and missing rate controls on inference endpoints.
How We Test
Defining engagement objectives, target scope, rules of engagement, and testing parameters before any active testing begins.
Setting up the testing environment and validating access requirements. This includes provisioning user accounts, reviewing AI application architecture and model documentation, configuring API access, and understanding the application's intended behavior and guardrails before testing begins.
Manual testing of prompt injection vectors, guardrail bypasses, data leakage paths, plugin abuse scenarios, output handling vulnerabilities, and the underlying application infrastructure. Each finding is validated through controlled exploitation to demonstrate real impact on your AI system and connected resources.
Delivering comprehensive findings with prioritized remediation guidance, executive summaries, and up to two free retests within 45 days.
Our testing methodology aligns with the OWASP Top 10 for LLM Applications (2025), MITRE ATLAS (Adversarial Threat Landscape for AI Systems), NIST AI Risk Management Framework (AI RMF), and the Penetration Testing Execution Standard (PTES).
AI Moves Fast. Attackers Move Faster.
Your AI application can be manipulated to leak sensitive data, execute unauthorized actions, or bypass every safety guardrail you've built. Traditional security testing doesn't cover these risks.
Identify injection vectors that allow attackers to override your system instructions, bypass content filters, and control model behavior through crafted inputs.
Ensure your retrieval-augmented generation systems don't expose confidential documents, customer data, or internal knowledge to unauthorized users.
Validate that your AI agents and tool integrations operate within intended boundaries and cannot be manipulated to perform unauthorized actions.
Demonstrate security due diligence to customers, investors, and regulators before deploying AI applications that handle sensitive operations.
Prepare for emerging AI governance requirements with testing that maps to OWASP LLM Top 10, NIST AI RMF, and evolving regulatory frameworks.
Compliance-Ready Reports
Each report is structured to meet framework-specific requirements and serve as evidence in your compliance assessments.
Process
Getting Started Is Simple
Tell us about your environment so we come prepared. No commitment required.
A simple, no-pressure conversation about your security needs and goals.
We send a clear quote. You sign the SOW and we schedule the engagement.
We plan the engagement, define rules of engagement, and test. Thoroughly.
You receive a custom report with up to two free retests within 45 days.
Questionnaire & Discovery
Fill out a brief questionnaire about your environment, infrastructure, and security goals. This helps us understand your landscape before we ever get on a call.
Exploratory Call
A straightforward conversation to understand your needs, answer questions, and determine if we're the right fit. No sales pitch, no pressure.
Scoping & Agreement
We provide a clear, transparent quote based on the scope discussed. Once aligned, you sign the statement of work and we lock in your engagement window.
Planning & Execution
We schedule a planning call to finalize the rules of engagement, then execute the assessment. Every test is manual, thorough, and performed by experienced professionals.
Reporting & Retesting
Within one week of the engagement, you receive a custom penetration test report. You have 45 days to remediate findings, and we perform up to two free retests with updated reports.
Ready to see what we find?
No sales pitch, just a straightforward conversation about your environment. Let's Go!Looking for Something More?
Web Application Pentest
Test the web application layer housing your AI model for traditional vulnerabilities that are amplified by AI context.
Learn moreAPI Penetration Test
Secure the APIs powering your AI application including inference endpoints, data ingestion, and third-party model integrations.
Learn moreCloud Penetration Test
Evaluate the cloud infrastructure hosting your AI workloads, model storage, and data pipelines for misconfigurations and access control gaps.
Learn more