A US-based cloud engineer, Olufemi Okunlola, has said cloud computing should be looked into for data protection and security purposes.
In a statement made available to The PUNCH, Okunlola said the rapid adoption of cloud computing led to an increasing need for robust security models that could protect sensitive data and ensure compliance with various regulatory frameworks.
The statement read, “The Zero Trust security model, which operates on the principle of never trusting and always verifying, has emerged as a leading solution to address these challenges.
“The role of zero trust in cloud security, particularly its effectiveness in meeting compliance requirements across industries such as finance, healthcare, and retail. This will help the core components of Zero Trust, including continuous authentication, access control, and monitoring, and discuss the key technologies involved, such as identity and access management (IAM), multi-factor authentication (MFA), and encryption.
“It will examine the challenges organizations face when implementing Zero Trust, such as integrating legacy systems, data localization compliance, and operational overhead. Furthermore, the future of Zero Trust is explored, focusing on trends like AI and automation that could enhance compliance and security in cloud environments. Overall, the paper provides a comprehensive overview of how zero trust can strengthen cloud security while ensuring adherence to regulatory standards.”
Okunlola stated that as cloud computing became a cornerstone of modern IT infrastructure, the need for more secure, flexible, and scalable security models must be intensified.
It read, “Traditional security approaches, often focused on securing the perimeter, have become increasingly ineffective in protecting the vast and dynamic environments of the cloud. In response to this, the Zero Trust Security Model has emerged as a robust framework designed to address these challenges.
“The Zero Trust paradigm operates on the foundational principle that no entity, whether inside or outside the network, is inherently trusted. Instead, access to systems and data must be continuously verified, requiring strict authentication, authorization, and encryption protocols for every user and device.
“This model seeks to reduce risks by eliminating the implicit trust that pervades traditional security frameworks, making it particularly well-suited to cloud environments where the perimeter is no longer clearly defined.”