Скачать или смотреть What Are The Security Differences In Cloud AI Vs On-Premise AI? - AI SaaS Software Explained

What Are The Security Differences In Cloud AI Vs On-Premise AI? Are you curious about how security measures differ between cloud AI and on-premise AI systems? In this detailed video, we'll break down the key security aspects that set these two approaches apart. We'll start by explaining how data control varies depending on whether data stays within your organization or is processed in third-party data centers. You'll learn about the types of security controls organizations can implement when managing their own systems, especially for sensitive information like financial or government data. We'll also cover how cloud providers secure their infrastructure using advanced techniques such as encryption and multi-factor authentication, and what shared responsibility means for your organization. Physical security differences between on-premise hardware and large-scale cloud data centers will be discussed, along with network security strategies like firewalls and layered defenses. Additionally, we'll explore how monitoring, threat detection, and system updates are handled differently in each setup. You'll gain insight into the risks associated with cloud systems, such as targeted attacks, and how on-premise solutions place the security burden on your team. Finally, we'll look at compliance considerations, including how organizations can meet strict regulations with either approach. Whether you're evaluating your options or aiming to improve your current setup, understanding these security differences will help you make informed decisions.

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