As cloud usage grows, companies will have a higher burden of protecting their digital assets on the network. The most effective method to cloud network security provides visibility, prevention, and intelligence.

Challenges:

• More difficulties may arise as a result of more clouds.
  • Collaborating with non-integrating technologies becomes difficult when companies adopt multi-cloud architectures. Network administrators must handle various network security solutions and suppliers, which adds to the cost and difficulty.
• Security is hampered by a lack of transparency and information
  • Although security teams have numerous native tools at their disposal, they do not get sufficient insights into applications, and risks on the cloud network to make educated security choices or maintain compliance.
• Difficult to secure the network
  • As more businesses move to the cloud, security teams demand fewer tools with greater features. Instead, companies are left with inconsistencies in network security across clouds and poor threat protection, which increases their risk.

Cloud Network Security with high-fidelity network visibility and controls to view the workloads, apps, and information on your cloud network.

Security teams can decrease risk by preventing threats from getting to the cloud, preventing lateral movement inside the cloud, and preventing important data from exiting the cloud.

• Inbound threats should be blocked
• Put an end to the lateral assault movement
• Outbound traffic must be secure

Strategy for Cloud Network Security

1. Microsegmentation: Securing communication within cloud-native apps necessitates custom controls. Identity-based microsegmentation allows you to observe how apps connect and prevent threats from moving laterally. Despite altering the network, security teams can decrease risk. DevOps and cloud infrastructure teams may leverage the cloud without fear of security hampering the progress.
   • To begin, identify the workload
     • Workload identification is a critical component of zero trusts with identity-based microsegmentation.
   • Tags are used to define the identity of a workload
     • Each identity is made up of contextual characteristics, such as metadata obtained from Amazon Web Services, MS Azure, Google Cloud, and more
   • Visibility based on identity
     • Secured workloads communicate and receive identification with each communication session, eliminating the need for complete visibility to count on contextless IP addresses.
   • Policy language that is simple to grasp
     • Instead of network language, microsegmentation policies use contextual and application language

2. Virtual Firewall: To defend your apps and data from a changing threat environment, you need a cloud network security solution that is both versatile and cognitive. Firewalls scan all cloud network activity for vulnerabilities and high-risk material, enabling only secure information to travel to reach your cloud while maintaining agility.