Controlling traffic between these zones is a key aspect of cloud security. Identity & access management (IAM)Ĭloud computing models include an array of technologies including database and object storage services, software such as operating systems and virtual machines, and the hardware at the user’s end, often bring-your-own devices (BYOD). Implementing them is the first step towards reducing the impact of a compromise. It’s worth noting that each of these tools and techniques protect against malicious attackers as well as human errors that lead to data leaks or corruption. Customers using a single cloud provider also need to establish and maintain visibility of their network traffic to ensure security. This corresponds to traditional methods of monitoring internal network traffic, but multi-cloud management needs to integrate with different cloud providers and address the increased complexity associated with cloud deployments. Granular security policies, IAM configurations, firewalls, and routing configurations can then be applied to control access.Ĭloud service monitoring: Since cloud services exist outside of internal networks and devices, IT teams require a way to gain visibility into the cloud service itself to monitor data. Tools such as virtual private clouds and Azure VNet accomplish this by partitioning workloads into subnets. For this reason it’s a best practice to isolate the components of the cloud architecture such as applications, containers, virtual machines, and data. ![]() This secures your data and disguises your identity and location.Ĭloud security architecture: Cloud native breaches often exploit errors or vulnerabilities in cloud deployments, access data through poorly configured or insecure interfaces, then exfiltrate that data to the attacker’s network. VPNs: Virtual private networks (VPNs) allow you to securely send data through potentially insecure connections by encrypting the data and routing it through a remote server run by the VPN host. This requires a level of computing power that is economically unfeasible for most attackers, so encryption is an important tool for data security. If attackers are able to breach barriers and access data, they will have to decrypt the data to see it in its original form. Since users can access cloud data over the internet from any location or device, IT teams require new approaches to securing data.Ī number of tools and techniques are available to secure cloud data:Įncryption: This uses an algorithm to encode information both at rest and in transit. Sensitive data needs to be secured both at rest in public cloud resources and in transit to prevent unauthorized access or leakage. With this in mind, let’s consider each type of cloud computing security in depth: Data security Governance and compliance focuses on ensuring cloud architecture complies with organizational or governmental regulations.ĭata and business continuity builds redundancy to ensure systems can be recovered in case of network outage or data loss. Identity & Access Management (IAM) controls traffic between each zone of cloud architecture using identification and access controls. There are several aspects of cloud security:ĭata security focuses on protecting data at rest and in transit. Resiliency: Cloud security makes it simpler to implement disaster recovery plans since administration happens in a unified place. Privacy and compliance: Cloud security allows developers to write and automatically enforce policies to ensure data privacy and regulatory compliance. All security administration happens in one place. Cloud security centralizes network monitoring and streamlines the process of updating software and policies. ![]() Unified security: Cloud computing allows users to access workflows from any device or endpoint, which is difficult to manage using traditional approaches. Cloud security takes a proactive approach that offers around-the-clock protection with little or no manual intervention required once it’s in place. Simplified administration: Legacy IT security required manual configurations and frequent security updates. Maintain customer trust: Users can access data and applications from anywhere using any device while knowing their data is safe from cybersecurity threats or accidental deletion. By building a robust cloud security program, organizations can gain benefits including: ![]() They can also limit visibility and control over critical processes. The 4 C’s of Cloud Native Security Five benefits of cloud securityĬloud models are an efficient way to run applications and store data without the costs and lengthy time frames associated with on-premise system deployment and maintenance.
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