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  • Solution and Industry
    Advanced Analytics and AI
    As companies progress on the journey toward digital transformation, Artificial Intelligence (AI) is a key element that promises to deliver critical insights that can lead to accelerated innovation and success while protecting critical business assets. Our team of data scientists and AI consulting specialists can help determine relevant use cases to support your transformation journey, enabling…
  • Newsletter
    Compliance Insights
    For 2025 we asked a larger-than-usual group of Protiviti colleagues across the globe to help identify the most pressing compliance issues in their market. Artificial intelligence, financial crime, privacy and security, operational resilience, third party risk management, consumer protection, compliance function optimisation, and resourcing were identified as priorities in all regions.
  • Newsletter
    Talent Strategies Demand a New Normal
    People and culture sit atop the list of key risk concerns of board members and executives worldwide looking out over the next 12 months as well as into 2032, according to the latest Top Risks Survey from Protiviti and NC State University’s ERM Initiative. Even amid an uncertain economy, inflationary conditions and fears of a possible recession, people, talent and culture issues stand…
  • Solution and Industry
    Privacy as a Service (Protiviti PraaS™)
    We help organisations understand relevant jurisdictions and obligations, assess needs, implement appropriate compliance measures and safeguards and respond to new and changing privacy regulations.With the meteoric rise of data proliferation worldwide, new privacy laws have been passed globally, such as the General Data Protection Regulation (GDPR) in the European Union (EU), the Brazilian General…
  • Client Story
    Data-First Strategy Powers a Greenfield S/4HANA Migration
    A U.S. supplement manufacturer used SAP Business Data Cloud to simplify a greenfield S/4HANA migration, reducing risk, preserving reporting, and enabling future analytics.
  • Newsletter
    Setting the 2024 Audit Committee Agenda
    Compared to prior years, our suggested 2024 audit committee agenda has taken a bit of a turn due to ongoing and recent market and regulatory developments.A complex business environment: The 2024 audit committee agenda includes important enterprise, governance, process, technology, and financial reporting and disclosure issues that merit consideration by the audit committee beyond its ongoing…
  • Newsletter
    Private Equity Insights Q1 2026
    This issue of Private Equity Insights examines where growth is accelerating and why operational modernisation is critical to portfolio performance. We also explore how AI is reshaping diligence and why agile budgeting is essential to keep up with rapidly changing business needs.
  • Solution and Industry
    Data Discovery Services
    Protiviti helps you remain compliant with data privacy regulations by mapping sensitive and personal data and outlining the priority risks unique to your organisation.Which processing operations present higher data protection risk?How does your organisation currently comply with regulatory obligations?Is my organisation in compliance with the regulation?If we are in compliance, how can we prove…
  • Solution and Industry
    Privacy Compliance
    Privacy risk is an ongoing challenge for organisations across industries and geographies. New regulations and laws continue to evolve rapidly, making it a challenge for organisations to remain compliant with privacy expectations.Protiviti’s privacy compliance experts identify key risks, address compliance gaps, and provide recommendations and the remediation support necessary to maintain…
  • Blogs
    Validation of Machine Learning Models: Challenges and Alternatives
    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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