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  • Whitepaper

    November 18, 2025
    Setting the 2026 Audit Committee Agenda
    As organisations grapple with rapid technological change, evolving regulations, and increasing risks in areas like AI, cybersecurity, and data privacy, audit committees are being called on to broaden their view of enterprise risk and governance. With oversight responsibilities growing in both scope and complexity, this whitepaper reveals the nine critical priorities that will define effective…

  • Whitepaper

    October 22, 2024
    Establishing a scalable AI governance framework
    Establishing an AI governance structure paves the way for effective management and measurement of AI solutions, fostering innovation while mitigating risk.

  • Survey

    March 18, 2026
    2026 Global Board Governance Survey
    AI is reshaping boardroom priorities. Learn how leading boards integrate AI into strategy, governance and risk oversight in Protiviti's 2026 Global Board Governance Survey.

  • Blogs

    November 29, 2022
    Data Governance Shapes Enterprise Transformation
    In today’s rapidly evolving business world, the lines between technology and business have blurred. Organisations need to modernise and transform their technology in order to successfully compete. CIOs play a critical role in transforming the world of work using automation and technology – but they can’t do it alone. Collaboration among the C-suite is critical. In this blog series, Protiviti’s…

  • Blogs

    January 31, 2024
    Enabling enterprise data governance with Microsoft Purview
    Data is the lifeblood of today’s digitally transformed business environment and is growing rapidly as it is estimated that 90 percent of the world’s existing data was created in the last two years alone. With such rapid growth, simply understanding the context of what data is important to keep, classifying that data and organising it into a useful form cannot happen without the support of…

  • Research Guide

    April 29, 2026
    Guide to AI Governance – Frequently Asked Questions
    Learn more about AI governance frameworks, risks, ROI, compliance and enterprise strategy. Explore key insights in this AI Governance FAQs guide for CFOs, CIOs, CISOs and business leaders.

  • Whitepaper

    February 8, 2023
    Building Sustainable Data Governance Programmes with Agile Concepts
    The digital revolution has led to an explosive growth in the amount of data created and collected, driving businesses to seek new ways to manage and discover value in the data they hold. In turn, the growth of stored data has been a longstanding management problem, which if not addressed can lead to potential vulnerabilities, data misuse, and possible data loss.

  • Whitepaper

    April 2, 2024
    Enabling Enterprise AI Adoption Through Next-Generation Governance
    Artificial intelligence (AI) has become increasingly important in the enterprise, thanks in part to the rise of generative AI (GenAI). While not a new technology or concept, AI (including machine learning) holds tremendous promise to transform various business functions and activities worldwide — from accounting and finance to cybersecurity, customer experience and more. In boardrooms and C-suite…

  • Blogs

    May 5, 2023
    Creating a resilient cybersecurity strategy: The governance lifecycle approach
    Cybersecurity governance should do more than manage cyber risk. Good cybersecurity governance creates efficiencies by clarifying the outcomes expected from its processes and establishing boundaries of responsibility among cybersecurity practitioners, frontline operational areas, senior leaders and board members. Recently, numerous crises have drawn senior leaders and board members down…

  • Blogs

    April 6, 2023
    Why Data Governance Programmes Are Easy to Envision, Difficult to Sustain
    I am often asked, with all the investments in data management and infrastructure over the last 50 years, why are we still not great with governing data? To put it simply and directly – it’s hard! Data governance programmes are easy to envision conceptually, difficult to implement, and without proper care, impossible to sustain. Often data governance investments have a long ‘time to…
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