Ahead of the upcoming AI Safety Summit to be held at the UK’s famous Bletchley Park in November, I wanted to outline three areas that I would like to see the summit address, to help simplify the complex AI regulatory landscape. When we start any conversation about the risks and potential use cases for an artificial intelligence (AI) or machine learning (ML) technology, we must be able to answer three key questions.
In today’s rapidly evolving business landscape, organizations face an ever-increasing array of risks and compliance challenges. As businesses strive to adapt to the digital age, it has become imperative to enhance their Governance, Risk Management, and compliance (GRC) strategies. Fortunately, the fusion of artificial intelligence (AI) and GRC practices presents a transformative opportunity.
Application Programming Interfaces (APIs) have profoundly transformed the internet's fabric. In the pre-API era, digital interactions were limited by siloed systems functioning in isolation. APIs dismantled these barriers by introducing a universal language that diverse applications could comprehend. This linguistic bridge facilitated an unprecedented level of interconnectivity between software entities.
Navigating complex cloud networks with multiple clouds while ensuring secure and reliable access to workloads can be daunting. That’s why Netskope and AWS have teamed up to simplify this journey and make it a lot easier. Through the integration of Netskope Borderless SD-WAN with AWS Cloud WAN, teams can automate workload access from any remote site and user laptop, deliver a secure, reliable, flexible, and highly available middle-mile network service leveraging the AWS global network.
