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  • Blogs

    February 29, 2024
    AI usage in energy and utilities sector: Challenges and opportunities
    Companies in the energy and utilities (E&U) industry are moving fast to adopt artificial intelligence (AI), including generative AI, to increase their competitive edge. But while AI can help these firms to drive innovation, boost profitability and reduce certain risks, it also increases their exposure to cyber threats.

  • Blogs

    July 31, 2023
    Simple is secure: Streamlining smart contract design
    For security teams looking to implement and design smart contracts, there are many intricacies and nuances that can be overwhelming. Using established standards for the secure development of smart contracts/decentralised applications (dApps) is instrumental to effectively launch smart contracts. In an earlier blog, I introduced the basics of smart contracts; today, I’m diving into existing…

  • Client Story

    April 19, 2024
    Rural Lifestyle Retailer Builds Customer Loyalty With Enhanced CIAM Strategy
    Protiviti partnered with a rural lifestyle retailer client to assess its Customer Identity and Access Management (CIAM) program and architecture. 

  • Podcast

    September 7, 2022
    Podcast | Topological Quantum Computing with Microsoft Azure Quantum
    An 85-year-old idea may hold the key to nearly error-free qubits. The Majorana fermion has taken on almost mythical status, but Microsoft recently solved a critical technical hurdle to creating topological qubits with the particle. How close are we to quantum computers with this technology? What other future developments can we expect from Azure Quantum? Join host Konstantinos Karagiannis for a…

  • Whitepaper

    August 16, 2018
    Automating the Financial Services Industry: Opportunities Abound, and APAC Firms Are Leading the Way
    Across major industries, robotic process automation, or RPA, is being used as part of an organisation’s digital transformation strategy to automate burdensome, high-volume and time-consuming business processes. Best suited for rule-based transactional and repetitive tasks involving structured and/or semi-structured data, logic-driven robots, or “bots,” are used to capture and interpret…

  • Whitepaper

    July 27, 2022
    Balancing Opportunity and Risk: Security for RPA Platforms
    Robotic process automation (RPA) was first used to execute predetermined, rules-based tasks twenty or so years ago. Since then, RPA has functioned as a virtual workforce for businesses, which benefit from its power to collect data, execute processes rapidly and unerringly, and facilitate higher levels of quality — while enhancing customer satisfaction.We’ve previously addressed at length the …

  • Podcast

    April 19, 2023
    Podcast | ESG and Data Management – with Alyse Mauro Mason and Mark Carson and Zachary Unger
    Data management is a critical component of an organisation’s reporting and required disclosures, whether they are for regulatory authorities or stakeholders. The needs are no different when it comes to environmental, social and governance (ESG) – an area of growing global importance for organisations worldwide. In this podcast, Protiviti Associate Director Alyse Mauro Mason interviews Protiviti…

  • Podcast Transcript

    June 16, 2023
    Transcript | ESG and Data Management – with Alyse Mauro Mason and Mark Carson and Zachary Unger
    Data management is a critical component of an organisation’s reporting and required disclosures, whether they are for regulatory authorities or stakeholders. The needs are no different when it comes to environmental, social and governance (ESG) – an area of growing global importance for organisations worldwide. In this podcast, Protiviti Associate Director Alyse Mauro Mason interviews Protiviti…

  • Blogs

    April 29, 2022
    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…

  • Client Story

    March 21, 2023
    Florida-Based Bank Optimises Customer Relationship Value Through Innovative Data Approach
    This Florida-based organisation has grown from a small community back to one of the state’s largest financial institutions. Over time, the bank built its reputation by maintaining the personalised service of a community bank while investing in the talent, technology and financial products customers expect from a large bank – from facilitating inbound investments and empowering small businesses to…
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