Penetration Testing for AI Products and LLM Integrations

Penetration Testing for AI Products and LLM Integrations

Penetration Testing for AI Products and LLM Integrations

The attack surface has expanded significantly with AI. When integrating third-party, open-source or self-hosted LLMs, building secure solutions while maintaining confidentiality, integrity, and availability is critical to both your business and your customers.

The attack surface has expanded significantly with AI. When integrating third-party, open-source or self-hosted LLMs, building secure solutions while maintaining confidentiality, integrity, and availability is critical to both your business and your customers.

The attack surface has expanded significantly with AI. When integrating third-party, open-source or self-hosted LLMs, building secure solutions while maintaining confidentiality, integrity, and availability is critical to both your business and your customers.

Talk with our experts

Talk with our experts

Our Approach to AI-Specific Penetration Testing

Our Approach to AI-Specific Penetration Testing

Our Approach to
AI-Specific Penetration Testing

Human-Led AI Attack Simulation

We help secure your AI products and systems by executing human-led pentesting that uncovers AI-specific attack vectors before adversaries do. Our specialized approach reveals emerging weaknesses through techniques tailored to your business logic and AI use cases, evaluating vulnerabilities before they become incidents.


Human-Led AI Attack Simulation

We help secure your AI products and systems by executing human-led pentesting that uncovers AI-specific attack vectors before adversaries do. Our specialized approach reveals emerging weaknesses through techniques tailored to your business logic and AI use cases, evaluating vulnerabilities before they become incidents.


Testing Across Your AI Stack

Whether you're using third-party APIs, open-source models, or self-hosted deployments, we adapt our methodology to how your AI infrastructure is actually built and integrated, going beyond the model itself to cover the full orchestration layer, data pipelines, and the business logic built around it.


Testing Across Your AI Stack

Whether you're using third-party APIs, open-source models, or self-hosted deployments, we adapt our methodology to how your AI infrastructure is actually built and integrated, going beyond the model itself to cover the full orchestration layer, data pipelines, and the business logic built around it.


Attack Vectors & Use Cases for AI & LLM Environments

Attack Vectors & Use Cases for AI & LLM Environments

Attack Vectors & Use Cases for AI & LLM Environments

Jailbreak your LLMs

We test whether prompts can force a model into divulging system instructions or acting outside its intended behavior.

Attacking Agents

Over-privileged agents can be tricked into revealing sensitive information or misusing their empowered features. We test how far that manipulation can go.

Integrations

Function calling and third-party integrations can become attack vectors of their own. We test where those connections break down.

Infrastructure

External and internal surfaces, cloud or on-prem, remain potential targets around your AI deployment. We map what's actually reachable.

Application Logic

The logic surrounding your model, including authentication and authorization layers, is part of every assessment.

Bypassing Protections

We test existing guardrails and protections in collaboration with your defense team.

Want to Secure Your AI Environment?
Schedule a call with security experts.

Want to Secure Your AI Environment?
Schedule a call with security experts.