Attackers are moving faster than ever, becoming increasingly good at exploiting vulnerabilities within just days of their initial discovery. This makes mitigation an extremely important component to any risk or vulnerability management program, as it allows security teams to act quickly, reduce risk immediately and prevent the likelihood of exploitation. While full remediation, either deploying a patch or implementing a code change may be the end goal, it isn’t always possible right away due to patch availability, incompatible infrastructure, resource limitations, etc. By leveraging cloud native tools and other existing security controls, security teams can “stop the bleeding,” addressing vulnerabilities immediately while working toward a more comprehensive remediation plan in the background.

In today's cloud native environment, where organizations increasingly rely on distributed services and cloud native applications, a strong security posture is non-negotiable. Understanding the shared responsibility model is also critical: while cloud providers secure the underlying infrastructure, organizations remain responsible for securing their own workloads, data, and configurations. This blog explores 9 essential cloud-native services and security measures that can be implemented to mitigate cloud risks and strengthen your overall cloud native security strategy.

This blog explores 9 essential cloud-native services and controls that can be implemented to mitigate cloud risks.

1. Protect Cloud Network Using Segmentation

Why is this important?

Network segmentation is a foundational network security practice that allows security teams to divide the network into segments and isolate critical assets so they are only accessible to authorized users or services, reducing the risk of unauthorized access and lateral movement.

How to implement

For cloud network segmentation, security teams can configure subnet routes table, security groups and gateway.Cloud native network controls like VPC and VNET provides robust configurations and policy enforcement options in which, can be a strong tool for cyber resiliency Additionally, scanning container images, VMs and native services for vulnerabilities before deployment helps ensure that only trusted workloads are placed within each network segment.

2. Prevent Malicious Traffic with Traffic Inspection Tools

Why is this important?

Security teams can implement firewalls and Load Balancers to analyze and control traffic flow between segments to prevent malicious traffic. These security practices are essential for safeguarding applications, ensuring that web-facing services, APIs and workloads remain protected against common exploits and attack vectors.

How to implement

Security teams can use WAF, Network ACLs, Firewall and Load Balancers to prevent malicious traffic. These tools also enhance data protection by filtering out requests that attempt to exfiltrate sensitive data or personal information from cloud-hosted services.

3. Implement Continuous Monitoring and Logging

Why is this important?

Continuous monitoring and logging allows security teams to detect anomalies and potential threats. This allows security teams to gain visibility into various activities that can indicate malicious activity such as CPU spikes, which can indicate Cryptomining. Robust threat detection capabilities, combined with threat intelligence feeds, help teams identify attacks in real time. Continuous monitoring and logging can also be a way to, in the event that remediation isn’t immediately possible, detect any exploitation or malicious activity resulting from a known vulnerability that has yet to be fixed. This is a security best practice that every organization operating in the cloud should adopt.

How to implement

Security teams can enable cloud-native tools such as CloudTrail and CloudWatch to continuously monitor for anomalous activity and tools such as AWS GuardDuty or Azure Sentinel for real-time detection of malicious activity. These tools should also feed into your incident response workflows, so that when threats are detected, your team can respond swiftly and effectively.

4. Secure APIs and Cloud Services

Why is this important?

API security is critical because it protects the data exchanges between applications and services in the cloud. By validating inputs, controlling access and using strong authentication, security teams can prevent attackers from exploiting vulnerabilities in applications and API servers. A strong focus on data security at the API layer also helps ensure that sensitive data is never inadvertently exposed through misconfigured endpoints.

How to implement

Security teams can leverage API Gateway with WAF to protect APIs from web-based attacks.

5. Automate Cloud Resource Discovery and Classification

Why is this important?

Automating cloud resource discovery and classification ensures an up-to-date inventory of all cloud assets. This enables security teams to more easily apply the appropriate security controls based on how critical the asset may be. It also allows security teams to quickly respond to any unexpected changes in the cloud environment that could indicate potential risk. This capability is central to cloud security posture management, which provides continuous visibility and governance across your entire cloud footprint.

How to implement

Security teams can use cloud-native auto discovery services such as AWS Systems Manager or GCP Cloud Asset Inventory.

6. Scan Infrastructure as Code for Misconfigurations

Why is this important?

Cloud infrastructure is increasingly defined and deployed through code using tools like Terraform, CloudFormation and Helm charts. If these templates contain misconfigurations—such as overly permissive security groups, unencrypted storage or publicly exposed resources—those issues get deployed directly into production. Scanning Infrastructure as Code (IaC) before deployment allows security teams to catch and fix misconfigurations at the source, preventing vulnerabilities from ever reaching the cloud environment.

How to implement

Security teams can integrate IaC scanning tools such as AWS CloudFormation Guard, Checkov or Bridgecrew into CI/CD pipelines. These tools validate templates against security policies and compliance benchmarks before any resources are provisioned, giving teams a preventative control that complements runtime detection and monitoring.

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7. Limit access with Identity Access Management (IAM)

Why is this important?

Implementing IAM controls enables organizations to enforce the principle of least privilege, granting users only the access needed for their roles. This reduces the attack surface and helps prevent unauthorized access, privilege escalation and lateral movement.

How to implement

Security teams can use cloud-native Identity Access Management (IAM) such as AWS IAM, GCP IAM, or Azure Active Directory.

8. Protect Secrets and Credentials

Why is this important?

Hardcoded credentials, API keys and database passwords are among the most common—and most dangerous—cloud misconfigurations. If secrets are stored in plaintext within source code, environment variables or configuration files, attackers who gain even limited access can quickly escalate privileges and move laterally across the environment. Centralized secrets management ensures that credentials are stored securely, rotated automatically and accessed only by authorized services, reinforcing the access controls established through IAM.

How to implement

Security teams can use cloud-native secrets management services such as AWS Secrets Manager, GCP Secret Manager or Azure Key Vault. These services provide encrypted storage, automatic rotation policies and fine-grained access controls so that secrets are never exposed in code or logs.

9. Encrypt Data at Rest and in Transit

Why is this important?

Encryption is one of the most fundamental security controls for protecting data across the cloud. Without it, data stored in databases, object storage or file systems can be read by anyone who gains unauthorized access, and data transmitted between services can be intercepted in transit. Enforcing encryption ensures that even if an attacker bypasses other controls, the data itself remains unreadable without the proper keys.

How to implement

Security teams can enable server-side encryption using cloud-native key management services such as AWS KMS, GCP Cloud KMS or Azure Key Vault. For data in transit, teams should enforce TLS across all service-to-service communication and configure storage services such as S3 or Cloud Storage to reject unencrypted connections. Cloud providers also offer default encryption options for most managed services, which should be verified and enabled as a baseline.

At ZEST SECURITY, we believe that the future of vulnerability management and cloud security relies on implementing both mitigation and remediation strategies. This holistic approach enables security teams to move beyond remediation and leverage existing tools and infrastructure to drastically reduce the risk of exploitation. To learn more about how ZEST’s Resolution Paths eliminate cloud vulnerabilities and misconfigurations way before attackers can take advantage of them, reach out to our team.