Now Available: the Copilot for Microsoft 365 Risk Assessment QuickStart Guide

Copilot for Microsoft 365 is an intelligent assistant designed to improve user productivity by leveraging relevant information and insights from a variety of sources, such as SharePoint, OneDrive, Outlook, Teams, Bing, and third-party solutions, through connectors and extensions. Using natural language processing and machine learning, Copilot understands user queries, provides personalized results, and generates summaries, insights, and recommendations.

this Quick Start Guide The goal is to help organizations perform a comprehensive risk assessment of Copilot for Microsoft 365. This document serves as an initial reference for risk identification, mitigation exploration, and stakeholder discussions. It is structured to cover:

1. AI Risk and Mitigation Framework: We briefly describe the major categories of AI risks and how Microsoft addresses them at the company and service level.
2. Sample Risk Assessment: We evaluate your service and risk posture by presenting questions and answers from real customers.
3. Additional Resources: Provides links to additional resources on Copilot for Microsoft 365 and AI risk management.

Copilot for Microsoft 365 Risk and Mitigation

prejudice

AI technologies can unintentionally perpetuate social bias. Copilot for Microsoft 365 uses OpenAI’s foundational models that incorporate bias mitigation strategies during the training phase. Building on these mitigations, Microsoft designs AI systems to provide equitable quality of service across demographic groups, implements measures to minimize disparities in outcomes for marginalized groups, and develops AI systems that do not stereotype or denigrate cultural or social groups.

disinformation

Misinformation is false information spread to deceive. This quick start guide covers Copilot for Microsoft 365 mitigations based on responses to customer data and web data and requires explicit user guidance for all actions.

Over-reliance and automation bias

Automation bias occurs when people rely too heavily on information generated by AI, potentially leading to misinformation. The QuickStart guide explains how to mitigate automation bias through measures such as informing users that they are interacting with AI, disclaimers about the potential for AI errors, and more.

No basis (hallucination)

AI models sometimes produce information that is not based on input data or ground truth. The QuickStart guide explores a variety of mitigations for ground truth, including performance and effectiveness measurement, metaprompt engineering, and harm monitoring.

seclusion

Data is a critical component of the functionality of AI systems, and without proper safeguards, this data can be at risk. The QuickStart Guide explains how Microsoft keeps customer data private and manages it in accordance with strict privacy commitments. Access controls and data usage parameters are also discussed.

Resilience

Service outages can impact your organization. The QuickStart Guide discusses mitigations such as redundancy, data integrity checks, and uptime SLAs.

Data breach

The quick start guide explains data loss prevention (DLP) measures, including zero trust, logical isolation, and strict encryption.

Security Vulnerability

Security is essential to AI development. Microsoft follows a Security Development Lifecycle (SDL) practice that includes training, threat modeling, static and dynamic security testing, and incident response.

Sample Risk Assessment: Questions and Answers

This section contains comprehensive questions and answers based on real customer inquiries. These include privacy, security, vendor relationships, and model development issues. Responses are provided through direct proofs from various Microsoft teams and OpenAI. Some of the key questions are:

• seclusion: Learn how personal data is anonymized before model training.

• security: Measures are in place to prevent AI models from being corrupted.

• Supplier Relationships: This is a fact sheet about OpenAI, a strategic partner of Microsoft.

• Model Development: Controls over data integrity, access management, and threat modeling.

This guide will help organizations better understand the AI ​​risk landscape essential to understanding Copilot for Microsoft 365 in an efficient manner to support enterprise deployments. It serves as a basic tool for risk assessment and allows for additional conversations with Microsoft to address specific concerns or requirements.

Additional Materials

In addition to the framework and sample evaluations, Quick Start Guide Copilot for Microsoft 365 provides links to a variety of resources and materials that provide more detailed insights into AI risk management.