The big three innovations transforming cloud security

“Secure Access Service Edge is a term coined by Gartner in 2019, defined as the convergence of multiple network and security-as-a-service capabilities, such as software-defined wide-area networks, secure web gateways, CASB, next-generation firewalls and zero-trust network access. SASE is delivered as a service and enables zero-trust access based on the identity of the device or entity, combined with real-time context and security and compliance policies.”

https://siliconangle.com/2021/08/21/big-three-innovations-transforming-cloud-security/

How AI, ML, and automation can improve cybersecurity protection

    • “Artificial intelligence (AI) and machine learning (ML) are making productive inroads in the cybersecurity space.
    • AI and ML can help by processing and analyzing massive amounts of data to spot unusual trends, behavior, and patterns in what is known as anomaly or fraud detection. It’s an essential tool to help stop crime in the world of finance.”

    https://www.google.com/amp/s/www.techrepublic.com/google-amp/article/how-ai-ml-and-automation-can-improve-cybersecurity-protectionread-insights-from-industry-experts-on-how-artificial/

    Smart Living: Here’s How IoT and AI are Set to Revolutionize the Way We Live and Work

    “Smart Homes were in the past viewed as a luxury, with their primary purpose being to serve as a show piece for the owners. This reality has changed substantially, both because of the development of newer technologies like Internet of Things (IoT) and Artificial Intelligence (AI), and also because of simultaneously occurring social changes that are occurring in our everyday lives.”

    https://www.google.com/amp/s/www.entrepreneur.com/amphtml/339348

    Wells Fargo: Artificial intelligence and machine learning a ‘double-edged sword’

    http://linkedin.com/in/mike-telang-705b263

    • “‘I think almost all large banks are being asked now by regulators to go back and identify any ML/AI solution that’s brought into the bank because the implication of that is, if the wrong algorithm is being used, you are going to decline credit or you’re going to have impact to the customers.’
    • ‘A lot of the companies have survived either by acquiring them or by re-emerging differently. I think banks have to do that. I think it’s a matter of time,’ Telang said.”

    https://www.google.com/amp/s/www.zdnet.com/google-amp/article/wells-fargo-artificial-intelligence-and-machine-learning-a-double-edged-sword/