AI in GRC Management

Author: Will Jan

Date: March 12, 2019

Description

The growth in operational requirements and associated data across the enterprise is placing stress on the finite resources that companies can commit to managing GRC. This report outlines the key adoption drivers and inhibitors of AI in enterprise GRC management and describes how AI-enabled GRC solution providers are helping their customers prioritize risk initiatives based on available resources to ensure business continuity and ongoing cost reduction.

Companies not looking at AI to assist with their GRC management process will find it difficult to keep up with tomorrow’s enterprise requirements. This stems from three key factors: a rise in global regulations, growth in corporate operating requirements and quantities of business data, and finite corporate resources to address these increases.

Methodology

This report draws from Outsell’s unique industry metrics and analytics, including our database of more than 9,000 companies. We augmented these assets through personal interviews with CEOs and division heads among the top and emerging players in the market. We also undertook exhaustive secondary research, looking at blogs and the mainstream press as well as market research reports outlining company activities. This research, combined with Outsell’s daily contact with players in the information industry — particularly those serving in GRC functions — and the deep industry experience of our analysts, helped form our conclusions and led to the creation of the shortlist of company and product profiles contained within this report.

Table of Contents

Why This Market

Methodology

Defining AI in GRC Management

Market Dynamics

Who’s Who in Developing AI in GRC Management

Forecast for Future Adoption

Key Takeaways

Essential Actions

Related Research

About the Author

About Outsell

 

List of Tables

Table 1: AI-Enabled GRC Solution Companies at a Glance

 

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Additional information

Analyst

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