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Overview
TeamQuest – The Compliance Games is a high-engagement, team-based capability accelerator that combines gamified learning with practical, modern prompting skills for security professionals. Set inside a retro-futuristic operational headquarters, learners are briefed on “The Fog,” a behavioural pattern that emerges when vague requests, weak context, and misaligned human–AI collaboration reduce the effectiveness of tools such as Microsoft Security Copilot.
Across six competitive missions, each located in a different department of the HQ, teams learn how to cut through The Fog by improving how they communicate with and guide AI systems. The course blends foundational generative AI concepts with applied security scenarios, helping learners produce clearer prompts, stronger analysis, and more reliable outputs.
The experience is designed to be memorable through gameplay, but transformative through depth of content. Learners leave with practical skills they can immediately apply in security operations, incident response, and governance workflows using Microsoft Security Copilot and the wider Microsoft security stack.
Prerequisites
Participants should have:
- Working knowledge of security operations and incident response processes.
- Working knowledge of Microsoft Defender for XDR.
- Working knowledge of Microsoft Purview.
- Working knowledge of Microsoft Entra.
- Working knowledge of Microsoft Intune.
Target audience
This course is suited for:
- Security operations centre analysts and incident responders.
- Security engineers working with Microsoft security stack tools, including Defender, Purview, Entra, and Intune.
- IT professionals responsible for threat monitoring, detection, and response.
- Security architects designing secure systems and integrating generative AI into security workflows.
- Cybersecurity managers or team leads seeking to understand how Microsoft Security Copilot can improve operational efficiency and threat response.
Learning Objectives
By the end of this course, learners will be able to:
- Explain the role of generative AI in the broader development of artificial intelligence and intelligent systems.
- Describe large language models and how they power modern AI-driven applications and copilots.
- Explain how Azure OpenAI supports the creation of intelligent, secure, and scalable applications.
- Identify examples of copilots and distinguish between effective and ineffective prompting techniques.
- Describe a responsible generative AI development lifecycle from design through deployment and operation.
- Identify and prioritise potential harms relevant to generative AI solutions in security contexts.
- Measure and evaluate the presence of harms in a generative AI solution.
- Apply mitigation strategies to reduce risks and improve trust in generative AI outputs.
- Prepare to deploy and operate a generative AI solution responsibly within an organisation.
- Describe what Microsoft Copilot for Security is and the problems it is designed to solve.
- Explain core terminology used within Microsoft Copilot for Security.
- Describe how Microsoft Copilot for Security processes prompt requests and security signals.
- Identify the elements of an effective prompt for security investigations.
- Describe how to enable Microsoft Copilot for Security within an organisation.
- Explain how Microsoft Copilot integrates with Microsoft Defender XDR, Microsoft Purview, Microsoft Entra, and Microsoft Intune.
Course Outline
Understanding The Fog and human–AI misalignment
- Introduction to The Fog as a behavioural and organisational pattern.
- How vague requests and weak context reduce AI effectiveness.
- The role of human judgement in guiding machine intelligence.
Foundations of generative AI for security teams
- Overview of generative AI and its evolution within artificial intelligence.
- Understanding large language models and how they generate responses.
- Strengths and limitations of generative AI in security scenarios.
Responsible AI and risk management
- Principles of responsible generative AI development.
- Identifying potential harms in AI-assisted security workflows.
- Measuring bias, inaccuracies, and unintended outcomes.
- Mitigation strategies to improve reliability and trust.
Introduction to Microsoft Copilot for Security
- What Microsoft Copilot for Security is and how it supports analysts.
- Core terminology and concepts used within the platform.
- How Copilot processes prompts, context, and security signals.
Prompting strategies that cut through The Fog
- Elements of an effective prompt for security investigations.
- Providing context, constraints, and clarity in prompts.
- Common prompting mistakes and how to avoid them.
- Adapting prompts for different security use cases.
Copilot integration across the Microsoft security stack
- Using Microsoft Copilot with Microsoft Defender XDR for threat investigation.
- Applying Copilot insights within Microsoft Purview for compliance and governance.
- Supporting identity and access decisions with Microsoft Entra and Copilot.
- Enhancing endpoint and device management with Microsoft Intune and Copilot.
TeamQuest missions and applied collaboration
- Team-based missions simulating real security operations scenarios.
- Cross-functional collaboration to solve complex security challenges.
- Applying improved prompting and analysis under time pressure.
- Translating lessons learned back into day-to-day security workflows.
Exams and assessments
There are no formal exams included in this course. Learning is reinforced through team-based challenges, scenario-driven missions, and instructor-led discussions that assess understanding through application rather than written testing.
Hands-on learning
This course includes:
- Gamified, team-based missions aligned to real security operations scenarios.
- Guided exercises using Microsoft Copilot for Security across multiple tools.
- Instructor-led facilitation and feedback throughout each mission.
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