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With digital breakthroughs comes uncharted risk territory. Mindful technology adoption is perhaps more important than ever.
The impact of AI will be systemic. Accordingly, significant changes to the way professionals approach risk management for AI are in order.
There is a need to manage the tension created by the innovation–integrity dilemma in the interests of sustainable outcomes for both people and planet.
Establishing AI accountability mechanisms can be straightforward, especially when leveraging governance frameworks that are already available.
The digital afterlife is a fast-developing area of innovation. It engages sensitive matters in the realm of ethics and emerging technologies.
Somewhere a trusted employee, embedded within the core of an institution, is secretly siphoning off resources for personal gain.
Before deciding to enter a merger or make an acquisition, it is imperative to conduct a comprehensive analysis of the target organization's cybermaturity.
CMMI provides a framework to assess, refine, and optimize capabilities. With AI-driven insights and automation, organizations can accelerate decision making and process enhancements.
SMEs can establish an enterprise security architecture by taking a step-by-step approach emphasizing practical strategies.
A leading provider of crypto asset services strengthened its data governance framework to enhance customer experiences, drive innovation, and maintain a competitive edge.
Any information gained by AI should be managed so that only those who are authorized to use it may do so. The use of AI systems should be monitored to ensure that it is not being abused.
Organizations have an imperative to share what data is collected and how it is going to be used. Their choices in using said data must bring value back to the customer.
The removal of end-to-end encryption in the United Kingdom is problematic. Additionally, governments appear to have conflicting attitudes toward privacy, which ultimately can lead to the erosion of individuals’ right to privacy.
Unified secure access service edge as a service empowers organizations to adapt quickly to dynamic needs and enhance their overall cybersecurity posture.
By bringing together the power of AI and the step-by-step methods of Agile Scrum, exciting new possibilities are available to internal auditors.
By examining control strength in multidimensional terms, security professionals achieve a better understanding of how controls function.
Biotechnology has become the backbone of data-driven healthcare. With this advancement comes significant ethical and security challenges.
Addressing accountability in AI deployment is essential to safeguarding integrity and societal well-being. This will require increased transparency within explainable AI and strengthened ethical governance.
Organizations relying on standard security tools may miss sophisticated APT techniques unless they implement specialized threat intelligence and proactive monitoring strategies.
