🚀 Try Zilliz Cloud, the fully managed Milvus, for free—experience 10x faster performance! Try Now>>

Milvus
Zilliz

How does cloud computing handle data security?

Cloud computing handles data security through a combination of encryption, access controls, and network security measures. Data is encrypted both at rest and in transit to prevent unauthorized access. For example, services like AWS S3 automatically encrypt stored data using AES-256, while HTTPS and TLS protocols secure data during transmission. Access to resources is tightly managed via identity and access management (IAM) systems, which let developers define granular permissions. For instance, AWS IAM allows assigning roles to users or services, ensuring only authorized entities can interact with specific data or systems. Network security layers, such as virtual private clouds (VPCs) and firewalls, isolate resources from public exposure. A developer might configure a VPC in Google Cloud to restrict database access to specific IP ranges, adding another barrier against external threats.

Compliance and auditing tools also play a key role in cloud data security. Major providers like Azure and AWS adhere to industry standards (e.g., GDPR, HIPAA) and offer built-in tools to help users meet regulatory requirements. Azure Policy, for example, can automatically check if storage accounts are configured to block public access, reducing misconfiguration risks. Auditing features like AWS CloudTrail log API activity, letting teams track who accessed data and when. These logs can be integrated with monitoring tools like Splunk or Datadog to detect anomalies, such as unexpected data exports. Providers also undergo third-party audits, which validate their security practices. A developer in healthcare might rely on AWS’s HIPAA-compliant services to ensure patient data is handled properly, while using automated compliance checks to avoid penalties.

Physical security and redundancy further protect data in the cloud. Providers operate highly secure data centers with biometric access controls, 24/7 surveillance, and disaster-resistant infrastructure. Data is replicated across multiple geographic zones—for example, Google Cloud’s multi-regional storage ensures files remain accessible even if one location fails. Backups and versioning features (like AWS S3 Glacier) guard against accidental deletion or ransomware. Additionally, distributed denial-of-service (DDoS) protection services, such as Azure DDoS Protection, mitigate large-scale attacks that could disrupt data availability. A developer building a fintech app might use AWS’s cross-region replication to maintain uptime during outages while relying on automated backups to recover from data corruption. These layers ensure data remains secure, available, and resilient against both digital and physical threats.

Like the article? Spread the word