Traditional approaches are based on the assumption that a perimeter-based security model can keep all threats outside the network and that all users, devices, and networks within the perimeter are trustworthy.

In the current threat environment, where attackers may quickly infiltrate the perimeter using strategies like phishing, social engineering, or exploiting flaws in the system, this strategy is ineffective.

Traditional approaches imply static policies that cannot adapt to evolving trends, circumstances, or emerging threats. They focus on prevention method which is insufficient to combat sophisticated attacks.

This results in long response times to security incidents.

Finally, Traditional methods frequently require a lot of resources to maintain and run because they are excessively complicated.

This may result in errors, incorrect setups, and other vulnerabilities attackers may exploit.

Zero Trust security assumes all resources inside and outside the network are untrusted and require authentication and authorization before access is granted.

This approach is critical in cloud environments where sensitive data and applications are often accessed from various devices and locations.

Zero Trust Architecture (ZTA) divides the network into smaller zones, each with its own access controls.

ZTA is based on the principle of "never trust, always verify," meaning that access to resources is continuously monitored and evaluated based on the user's identity, device, location, and other contextual factors.

ZTA addresses several challenges in cloud security, such as

• The complex and dynamic nature of cloud environments, where resources are constantly changing, and new applications are frequently added.
• The challenge of securing data and applications across multiple clouds and environments, including private, public, and hybrid clouds.
• The need to comply with regulatory compliances that require strict access controls and data protection measures.

Confidential computing enhances Zero Trust by providing a secure execution environment for sensitive workloads, even in untrusted environments.

Zero Trust calls for constant verification of all resource access but ensuring that the underlying cloud infrastructure is reliable and secure might be challenging.

The hardware-based security mechanism offered by confidential computing solves this problem by enabling the processing and storage of sensitive data in a safe enclave isolated from the host system and other potentially vulnerable components.

The confidential data inside the secure enclave cannot be accessed, even if an attacker gains access to the system.

Even in the most complex and unreliable situations, confidential computing enables enterprises to have greater confidence in the security of their data and workloads.