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  • Whitepaper
    April 2, 2024
    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…
  • Survey
    October 9, 2023
    Protiviti partnered with The Institute of Internal Auditors to conduct its 11th annual Global Technology Audit Risks Survey in the second and third quarters of 2023.The objective of this survey is to explore the top technology risks organisations face, as perceived by technology audit leaders and professionals. It also explores the practices, processes and tools employed to help enterprises…
  • Podcast
    August 21, 2024
    They’re here! After a seven-year process, NIST has finally released the first standards for post-quantum cryptography. The industry is excited and optimistic about the future, but what does it mean for you and your organisation? In an interview recorded right before the August 13 release, you’ll hear how we got here with the quantum computing threat, what standards were selected and what…
  • Survey
    February 15, 2024
    Chief financial officers (CFOs) have a unique vantage point regarding talent management, one that explains why the ability to attract, develop and retain top talent represents their top risk concern in both 2024 and 2034.
  • 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 Transcript
    October 5, 2022
    In late 2020, physicists in China generated controversy by claiming quantum advantage with a photonic quantum computing system that’s technically not programmable. Other companies have been experimenting with photonic systems, including QuiX Quantum. How do these machines work? Should scientists redefine what quantum advantage means, focusing on practical, usable problems a machine is solving?…
  • Podcast Transcript
    October 5, 2022
    In coding, libraries make developers’ lives easier, sparing them thousands of lines of code, while also increasing performance and security. And everyone’s concerned with security as fault-tolerant quantum computing approaches. Geometry Labs has released the “lattice-algebra” library to bring a high-performance cryptographic library to developers interested in using post-quantum cryptography in…
  • Podcast Transcript
    December 15, 2021
    Crypto agility measures how well your company can adapt to new cryptographic primitives and algorithms without making disruptive changes. Every company will need to achieve this bragging right as soon as possible to avoid the coming quantum computing cryptographic apocalypse. This includes a combination of auditing where you are on the journey and then actually taking action. During this podcast…
  • Podcast Transcript
    January 12, 2022
    We’re currently in the quantum economy 2.0. What was 1.0? We discuss this with someone who spent over two decades at the National Institute of Standards and Technology (NIST) and who now consults with companies on a range of policy issues relating to the quantum economy. We also explore the business outlook for various quantum computing and sensing technologies. Join host Konstantinos Karagiannis…
  • Podcast Transcript
    January 26, 2022
    Nearly US$1 billion in funding poured into the quantum computing industry last year. One company, PsiQuantum, received about half of that! What are they building? Nothing less than a photonic quantum computer with a million qubits. How does this machine compare to trapped ion and transmon approaches from the competition? And, more importantly, how soon could this quantum computing behemoth be…
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