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To not only survive, but thrive in the data ecosystem, enterprises must be willing to dig deeper than mere compliance.
The data interoperability challenge in global digital health, as experienced in the context of the variety of national electronic health record (EHR) deployments around the world, should have been avoidable.
In an era characterized by rapid technological advancement and evolving customer demands, financial institutions face new challenges to remain competitive.
Data privacy, security, risk management and operations are complex aspects of the global data ecosystem, and enterprises should address them with solutions based on research and best practices.
Organizations operating across multiple states or countries must contend with multiple privacy laws and regulations consisting of nuanced, divergent or even conflicting obligations and requirements.
ATMs have become more evolved self-service platforms, helping people pay bills, transfer funds, and exchange currencies. The increase in the number of services offered by ATMs also increases their risk.
The goal is by no means to reject the Turing machine, but rather to integrate it with a machine made more complex by the phenomenal advances in modern technology.
Traditional financial auditing practices must evolve as blockchain technology and Web 3.0 technology become standard.
Auditors must learn practical approaches and procedures for auditing crypto assets to manage the audit risk associated with such assets effectively.
Zero Trust Architecture will not stop all cyberattacks, but it can ensure that organizations do not fall victim to the easiest of attacks or fail to discover a breach for months or even years.
No one faces the challenges of the data environment more than the front-line contributors in the audit and compliance professions.
If an organization has competitors willing to show that they go beyond the bare minimum, the organization doing just enough to be compliant is going to find it hard to compete.
The rules of what we think we know about data are being rewritten. Several converging trends represent a seismic shift in our understanding of the technology ecosystem.
In the fast-developing digital landscape of the 21st century, the deep web is a baffling hidden world where cybercriminals orchestrate a variety of illicit activities.
Former US President Harry Truman once said, “It is amazing what you can accomplish if you do not care who gets the credit.
The introduction of OpenAI’s ChatGPT was a tipping point in the field of artificial intelligence (AI) and, perhaps, a watershed moment in history.
Security is everyone’s responsibility. And although instilling a security culture in an organization is not always easy, it is essential.
Artificial intelligence (AI) has become ubiquitous in daily life, from healthcare and finance to virtual assistants and autonomous vehicles.
The cyberthreat landscape is continually expanding as more enterprises and critical infrastructures increase their attack surfaces owing to their connectivity to the Internet.
Enterprise governance of information and technology (EGIT) and business-IT alignment are crucial to create value and achieve the goals and objectives of IT.
