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Migrating applications at scale from data centers to public cloud targets often leads to tactical security decisions that end up costing millions later in paid ransom. Adopting cloud vendor base firewalls can leave subnets and virtual private clouds inadequately protected.

Today cloud cybersecurity services must mitigate ever-increasingly complex threats across multiple attack surfaces while supporting dynamic infrastructures. As cyberattacks and cloud migrations continue, the sheer volume of potential entry points for attackers is growing significantly. Defending these entry points is a massive challenge for any organization especially as attackers gain access to AI and ML technologies. Today it’s AI vs AI. The key to cloud security is to prevent attackers from accessing any critical resources in the first place, because once inside, it’s usually far too late.

To understand how attackers use AI to penetrate cloud environments and the best network security best practices to stop them, we begin by analyzing network traffic as it flows through clouds. We can analyze attackers as they try to gain access to cloud networks. To secure public clouds we can focus on two critical network perimeter access points where cybercriminals attack clouds, the “Front Door” and “Service Door”.

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