Practice Lab

Orchestrating Hybrid AI Red Team Operations

Name: Orchestrating Hybrid AI Red Team Operations
Brand: CodeRed

This lab equips learners with the skills to design, execute, and analyze sophisticated hybrid AI red teaming attacks using the PyRIT framework, enabling dynamic, stateful testing of LLM vulnerabilities with persistent tracking and evaluation.

1 Hour

Advanced

Validation of Completion Included

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Overview What You Will Learn Curriculum Instructor

Lab Description

Large Language Models (LLMs) are increasingly targeted by adversaries who exploit weaknesses in their safety mechanisms. To ensure resilience, security teams must adopt advanced red teaming techniques that go beyond single-strategy attacks. In this lab, you will act as an AI security professional orchestrating multi-stage, adaptive attacks against an LLM. Using the PyRIT framework, you will build a hybrid attack orchestrator capable of dynamically combining multiple red teaming methods, escalating attacks when necessary, and recording results for later analysis. By completing this exercise, you will gain practical experience in creating stateful, data-driven orchestrations that mirror real-world adversarial testing, improving both the robustness of AI systems and the depth of security assessments.

What You Will Learn

Program Curriculum

FREE FOR 1 YEAR • NO CARD

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