Promptly Protecting Your LLM

AI / LLM Penetration Testing

Large language models (LLMs) and AI applications are powerful tools, but any weakness in how they handle input can be exploited, putting your systems, data, and users at risk. Our AI and LLM penetration testing gives you clarity and control by showing exactly how prompt injection could alter your model’s behaviour and how to mitigate it effectively.

We assess your AI model as a real attacker would, identifying weaknesses in prompt handling, system prompts, output controls, and integration with downstream systems before they become critical issues. Our testing aligns with the OWASP Top 10 for LLM Applications, ensuring that your model is reviewed against industry-recognised risks. Expert manual testing is paired with intelligent automated analysis to reveal vulnerabilities that standard checks often miss.

Every result is verified, prioritised, and explained in plain language, so you know which risks matter most and how to fix them. The outcome is simple: stronger AI security, protected data, and an LLM you can trust to behave safely.

Good Things To Know

Testing aligns with the OWASP Top 10 for LLM Applications
Identifies prompt injection and jailbreaking risks before exploitation
Highlights unsafe output handling and excessive agent behaviour
Prioritises findings based on real-world impact and system exposure
Provides actionable guidance for remediation
Strengthens overall LLM application resilience

AI / LLM Penetration Testing FAQs

What is AI / LLM Penetration Testing?

It is a controlled assessment that simulates real-world attacks on your AI and LLM systems to uncover vulnerabilities in how they process prompts, handle system instructions, and produce outputs.

The testing ensures you can address weaknesses before they lead to misuse, data exposure, or operational impact.

Why is AI / LLM Penetration Testing important?

Weak inputs or malicious prompts can cause an AI or LLM to bypass safety protocols, disclose sensitive information, generate harmful content, or escalate privileges.

Penetration testing reduces the risk of security breaches, reputational harm, and operational failures by finding vulnerabilities before attackers exploit them.

Who benefits from AI / LLM Penetration Testing?

Any company using AI or LLMs in applications, chatbots, or automated workflows can benefit.

From start-ups deploying customer assistants to enterprises relying on LLM-based decision support, secure models are essential to maintaining trust, compliance, and safe operations.

When should AI / LLM Penetration Testing be performed?

Testing should take place before deploying new AI or LLM-powered features, after major updates, or periodically as part of a security programme.

It is also important whenever the model’s integration, data handling, or access privileges change.

How is AI / LLM Penetration Testing conducted?

We follow a structured methodology, including threat modelling, input fuzzing, system prompt analysis, output validation checks, and controlled exploitation where authorised.

All testing is conducted safely, respecting your operational environment and any contractual limitations of third-party models.

What types of AI / LLM applications can be tested?

We can assess AI and LLM systems used in chatbots, virtual assistants, knowledge management systems, decision support tools, content generation applications, and other integrations where user input can influence output. Both on-device and cloud-based models can be reviewed.

Where third-party LLMs are used, testing focuses on prompt injection, unsafe outputs, and integration risks rather than the internal workings of the model itself.

What support do I get during AI / LLM Penetration Testing?

You will have direct access to our consultants throughout the engagement.

Daily progress updates, immediate alerts for critical findings, and ongoing guidance minimise disruption while keeping you informed.

What do I receive after AI / LLM Penetration Testing?

You receive a detailed, prioritised report outlining all injection risks, system prompt exposures, output handling issues, and mitigation steps.

Each finding comes with actionable guidance for your technical team.

Where relevant, we provide demonstrations of exploit scenarios and a debrief session to review results and next steps.

Is AI / LLM Penetration Testing cost-effective?

Yes.

Identifying vulnerabilities early reduces remediation costs and prevents severe incidents such as data leaks, unsafe outputs, model misuse, or compliance violations.

Regular testing supports security best practices, aligns with the OWASP Top 10 for LLM Applications, and provides evidence of due diligence to stakeholders.

Get In Touch

Our team is available to help you with your next Penetration Test, Cloud Security Audit, or Cyber Essentials Assessment.

Whether you are launching a new platform, expanding an existing service, reviewing your defences, or strengthening your security posture, we can provide a tailored engagement that meets your specific needs and scope.

Contact us today to discuss your requirements and see how we can help you protect your business with confidence.

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