Certified AI/ML Pentester (C-AI/MLPen)

The Certified AI/ML Pentester (C-AI/MLPen) is an intermediate-level exam designed to test a candidate’s knowledge of the core concepts involving AI/ML security.

** The exam details and instructions will be sent to you by 15 September 2024.

£250.00
What is the Certified AI/ML Pentester (C-AI/MLPen) exam?

The Certified AI/ML Pentester (C-AI/MLPen) is an intermediate-level exam designed to test a candidate’s knowledge of the core concepts involving AI/ML security. To pass this exam, candidates must demonstrate practical knowledge and the ability to conduct an AI/ML application pentest.

Who should take this exam?

C-AI/MLPen is intended to be taken by pentesters, application security architects, SOC analysts, red and blue team members, AI/ML engineers and any AI/ML security enthusiast, who wants to evaluate and advance their knowledge.

What is the format of the exam?

C-AI/MLPen is an intense 4 hour long practical exam. It requires candidates to solve a number of challenges, identify and exploit various vulnerabilities and obtain flags. The exam can be taken online, anytime (on-demand) and from anywhere. Candidates will need to connect to the exam VPN server to access the vulnerable applications.

What is the pass criteria for the exam?

The pass criteria are as follows:

  • Candidates scoring over 60% marks will be deemed to have successfully passed the exam.
  • Candidates scoring over 75% marks will be deemed to have passed with a merit.
What is the experience needed to take the exam?

This is an intermediate-level exam. Candidates should have prior knowledge and experience of AI/ML pentesting. They should have a solid understanding of common application security topics, including the OWASP Top 10 vulnerabilities for large language models (LLMs), prompt injection attacks, common security misconfigurations, and best security practices. They should be able to demonstrate their practical knowledge on AI/ML security topics by completing a series of tasks on identifying and exploiting vulnerabilities that have been created in the exam environment to mimic the real world scenarios.

Note: As this is an intermediate-level exam, a minimum of one year of professional pentesting experience is recommended.

What will the candidates get?

On completing the exam, each candidate will receive:

  • A certificate with their pass/fail and merit status.
  • The certificate will contain a code/QR link, which can be used by anyone to validate the certificate.
What is the exam retake policy?

Candidates, who fail the exam, are allowed 1 free exam retake within the exam fees.

What are the benefits of this exam?

The exam will allow candidates to demonstrate their skills in AL/ML pentesting. This will help them to advance in their career.

How long is the certificate valid for?

The certification does not have an expiration date. However, the passing certificate will mention the details of the exam such as the exam version and the date. As the exam is updated over time, candidates should retake the newer version as per their convenience.

Will you provide any training that can be taken prior to the exams?

Being an independent certifying authority, we (The SecOps Group) do not provide any training for the exam. Candidates should carefully go over each topic listed in the syllabus and make sure they have adequate understanding, required experience and practical knowledge of these topics. Further, the following independent resources can be utilized to prepare for the exam.

Exam Syllabus

The exam will cover the following topics

Prompt Injection
  • Direct Prompt Injections
  • Indirect Prompt Injections
Insecure Output Handling
Training Data Poisoning
Supply Chain Vulnerabilities
  • Traditional third-party package vulnerabilities, including outdated or deprecated components.
  • Using a vulnerable pre-trained model for fine-tuning.
  • Using outdated or deprecated models that are no longer maintained leads to security issues.
  • Use of poisoned crowd-sourced data for training.
Sensitive Information Disclosure
  • Incomplete or improper filtering of sensitive information in the LLM responses.
  • Overfitting or memorization of sensitive data in the LLM training process.
  • Unintended disclosure of confidential information due to LLM misinterpretation, lack of data scrubbing methods or errors.
Insecure Plugin Design
Excessive Agency
  • Excessive Functionality.
  • Excessive Permissions.
  • Excessive Autonomy.
Overreliance
Model Theft
System Prompt Leakage
Sample Question?
  • Evaluate the applicationโ€™s anti-reversing checks. Which of the following statements is true in the context of the Jailbreak Detection?
    1. The Application has a robust Jailbreak Detection implementation.
    2. The Application lacks any Jailbreak Detection implementation.
    3. The Application has insufficient Jailbreak Detection, which can be bypassed.
    4. The Application has implemented Jailbreak Detection, and it can not be bypassed.
Prerequisites:
Host Operating System:

Windows/Linux/MacOS with minimum 8GB RAM (MacOS Preferred).

Physical Device with Minimum iOS Version Supported:

iOS 14 or higher (Jailbroken).

Note: Please make sure you have your iOS pentesting environment ready (Jailbroken Physical Device, Burp Suite, or any similar proxy tool along with Frida, objection and other similar pentesting tools) prior to starting the exam. The IPA build will be distributed via TestFlight.

Certified AI/ML Pentester (C-AI/MLPen)

Certified AI/ML Pentester