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  • Survey

    April 1, 2021
    In the annual top risks survey conducted by Protiviti and NC State University’s ERM Initiative, technology, media and telecommunications executives ranked pandemic-related government policies, adoption of digital technologies, data privacy and information security, cyber threats, and diminished economic activity among their top risk issues for 2021 and beyond. The survey results reflect…
  • Podcast Transcript

    April 26, 2021
    As costs for risk functions continue to increase, it is crucial to both reduce manual tasks and innovate processes through technological tools as well as an expanded skillset. In this episode of Protiviti’s Powerful Insight’s “Future of Compliance” podcast series, Protiviti Risk and Compliance Managing Director, Vicki Alexander speaks with Nishant Desai, the Chief Compliance Officer of…
  • Podcast

    April 20, 2023
    Maryann Kennedy speaks with the Senior Deputy Comptroller for Bank Supervision Policy at the Office of the Comptroller of the Currency, Grovetta Gardineer, about the regulatory priorities in current economic environment.Grovetta Gardineer is the Senior Deputy Comptroller for Bank Supervision Policy at the Office of the Comptroller of the Currency (OCC). In this role, Ms. Gardineer directs the…
  • Whitepaper

    December 13, 2024
    Imagine a global manufacturer reliant on a vast network of suppliers spread worldwide. A sudden geopolitical crisis disrupts the supply of essential raw materials, halting production lines and threatening profitability. In today's volatile business environment, such non-financial risks are far from theoretical; they're real and significant threats.
  • Podcast Transcript

    October 9, 2023
    The results from this year's Global Technology Audit Risks Survey, conducted by Protiviti and The Institute of Internal Auditors, reveal a complex and multifaceted landscape of technology risks. Cybersecurity is the top priority and by a wide margin. AI is an emerging risk with gaps in organisational preparedness and audit proficiency. The talent gap in IT is a growing concern and data privacy is…
  • Podcast

    October 9, 2023
    The results from this year's Global Technology Audit Risks Survey, conducted by Protiviti and The Institute of Internal Auditors, reveal a complex and multifaceted landscape of technology risks. Cybersecurity is the top priority and by a wide margin. AI is an emerging risk with gaps in organisational preparedness and audit proficiency. The talent gap in IT is a growing concern and data privacy is…
  • Podcast

    May 22, 2025
    Carol Beaumier hosts Risky Women Radio and leads a compelling conversation with guest Dame Inga Beale. Together, they explore the challenges of leading companywide transformation programmes, and the leadership skills needed to drive meaningful change. The discussion also touches on how leadership must evolve to meet future demands, how to navigate and overcome bias in the workplace, and Dame Inga…
  • Whitepaper

    April 27, 2023
    Price transparency compliance continues to elude hospitals two years after its effective date on January 1, 2021. While the Hospital Price Transparency (HPT) rule was met with great debate within the industry, the Centers for Medicare and Medicaid Services (CMS) continues its initiatives for ensuring greater transparency in healthcare. An audit of price transparency can prompt further compliance…
  • Newsletter

    September 30, 2020
    Your monthly compliance news roundup Agencies Update Guidance on BSA/AML Compliance Programme Expectations On August 13, 2020, the Federal Reserve Board, the Federal Deposit Insurance Corporation (FDIC), the National Credit Union Administration (NCUA) and the Office of the Comptroller of the Currency (OCC) released a joint statement that explains the enforcement of certain Bank…
  • Blogs

    April 29, 2022
    The Potential of Machine Learning (ML) to deliver value to banks has created something of a gold rush in adopting this methodology for banking applications. ML can produce immense benefits when applied to complex nonlinear problems where there is a large amount of data, particularly unstructured data. Use cases for incorporating machine learning in banking include asset management, fraud…
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