The cloud ecosystem is expanding at an unprecedented pace, driving the development and deployment of increasingly complex systems. A workload can now run in a container, on a virtual machine, or serverless, and these configurations can be rapidly changed in a matter of seconds. This presents significant challenges in tracking assets and remediating vulnerabilities before they cause harm.

The number of potential risks continues to proliferate at an alarming rate. According to Statista, the global costs of cybercrime are estimated at over $9.22 trillion in 2024 and will rise to $13.82 trillion by 2028. Many of these costs stem from the exploitation of vulnerable systems.

Many organizations are already scanning for vulnerabilities. However, the challenge lies in determining the appropriate priority for remediating each vulnerability discovered through scanning. In a cloud environment, severity scores alone are inadequate to determine whether a given asset poses a significant risk. Other factors, such as exposure level and business impact, also contribute to vulnerability assessment.

In this article, we will discuss nine best practices for vulnerability management that will provide cloud security professionals with the information needed to evaluate the risk of each vulnerability and expedite remediation before they cause harm.

What Is Vulnerability Management in Cloud Environments?

Vulnerability management is a continuous process of assessing and managing risks that may affect an organization’s IT infrastructure. This involves not only the conventional server environment but also cloud-based microservices, endpoints belonging to the workforce, and mobile devices. In contrast to ad hoc scanning, this should be a cyclic approach in which vulnerabilities are identified, risk levels are assessed, actions are taken, and impacts are analyzed.

According to Gartner Research, 60% or more of threat detection, investigation, and response technologies will incorporate exposure management information by 2026, compared with less than 5% today.  

A typical vulnerability assessment process includes:

  • Discovery: Identify all active assets
  • Assessment: Detect vulnerabilities and misconfigurations
  • Prioritization: Focus on issues based on risk and exposure
  • Remediation: Fix through patching or configuration updates
  • Monitoring: Track new risks as environments change

Key Challenges in Cloud Vulnerability Management

Managing vulnerabilities in the cloud is not that simple. Most people have vulnerability assessment tools in place; however, dealing with the sheer number of results and addressing them is difficult. 

It’s less about identifying vulnerabilities than determining which ones should be fixed, when, and how quickly. Let’s check the challenges one by one below. 

1. Lack of Visibility for Dynamic Resources

Unlike traditional infrastructure, cloud resources are constantly changing. As such, it becomes difficult to keep track of all resources, which can lead to cloud security threats.

2. Higher Number of Vulnerabilities

Scanning usually reveals a large number of vulnerabilities. Although some are of little impact, they still require attention, making the process time-consuming.

3. Longer Time Taken for Remediation

Most vulnerability remediation actions involve both the security and development teams. In such cases, delays result in open vulnerabilities that stay unresolved for extended periods.

4. Growing Exposure Surface

The adoption of cloud infrastructure increases exposure to API vulnerabilities and misconfiguration. Consequently, vulnerabilities coupled with misconfigurations result in higher-risk situations.

9 Must-Know Best Practices for Cloud Security Vulnerability Management

Vulnerability management in cloud settings extends beyond scanning and report generation. The priority is to gain visibility into vulnerabilities, prioritize them, and address them in a timely manner. Here are some best practices for managing vulnerabilities effectively.

1. Build a Complete Asset Inventory Across Cloud Environments

Asset visibility is a core requirement in cloud vulnerability management. Cloud infrastructure changes frequently. Instances, containers, and services are created and removed across regions and accounts. Static inventories do not capture this movement.

The inventory must include:

  • Virtual machines and attached storage
  • Container clusters, images, and running pods
  • Serverless functions and API endpoints
  • Cloud services such as databases, queues, and object storage
  • Identity components, including users, roles, and service accounts

Each asset should be mapped with metadata:

  • Owner or team
  • Environment (production, staging, development)
  • Exposure level (public or private)
  • Business criticality

This mapping supports the vulnerability assessment process. Scanning without an asset context produces incomplete results. Untracked assets remain outside scan coverage and create unmanaged risk. Cloud-native platforms, such as a cloud vulnerability management platform, help maintain real-time visibility across workloads, configurations, and identities without relying on periodic scans. 

2. Prioritize Vulnerabilities Based on Real Risk

Severity scores do not indicate real risks in a cloud environment. While CVSS offers a base score, it doesn’t take into account factors such as asset exposure, asset criticality, or exploit activity.

The following factors should be taken into consideration when creating priorities for vulnerability management processes:

  • Asset criticality (production vs. non-production)
  •  Level of asset exposure (public vs. private)
  •  Exploitability, existence of known attack campaigns
  •  Sensitivity of the data associated with the asset

A medium-risk vulnerability in a publicly accessible system poses greater risk than a high-risk vulnerability in a segregated environment. Prioritization strategies should take this into account.

It is important to understand the consequences of vulnerabilities for the business side. Tagging of assets and their association with the applications used is needed.

3. Implement Continuous Vulnerability Scanning

Cloud workload environments are dynamic, and periodic scans can lead to coverage gaps, as newly created services will not be scanned between scan cycle intervals.

The scanning process is supposed to target:

  • Active workloads
  • Container images prior to their deployment
  • Infrastructure as Code templates
  • Cloud configuration files

With continuous scanning, new vulnerabilities are found immediately after the asset is created. This type of scanning leverages API calls for better results compared to network-based scanning processes

4. Integrate Vulnerability Checks into DevOps Pipelines

Security checks should be part of the build and deployment process. Issues identified during development are easier to fix than those found in production.

Integration points include:

  • Source code repositories
  • Build pipelines
  • Container image creation

Automated checks can block deployments when critical vulnerabilities are detected. This reduces the number of issues reaching production environments.

Clear ownership is required. Development teams should address vulnerabilities in application code and dependencies, while security teams define policies and thresholds. This integration improves response time and reduces remediation effort.

5. Establish a Structured Patch and Update Process

Patching is a core part of the vulnerability assessment process, but cloud environments follow a different model. Instead of updating running systems, teams often replace workloads with updated images.

Key practices include:

  • Rebuilding images with updated dependencies
  • Applying patches based on risk priority
  • Testing updates before deployment

Not all vulnerabilities can be fixed immediately. Teams should define timelines based on severity and exposure. High-risk issues require faster resolution.

A structured patch process reduces the number of open vulnerabilities and supports consistent remediation across environments.

6. Prioritize Vulnerabilities That Are Externally Accessible and Can Be Exploited

Remediation efforts must target vulnerable internet-facing infrastructure and assets with proven exploitable vulnerabilities. Such a scenario indicates a higher risk of exploitation.

Examples of externally facing assets include web apps, APIs, and other public storage facilities. Any vulnerabilities affecting these must be urgently addressed due to the risk they pose via their exposure.

For verification of an exploitable vulnerability, use:

  • Catalog of Known Exploited Vulnerabilities (KEVs)
  • Public repositories hosting exploit codes
  • Security advisories from vendors and independent sources

7. Leverage Threat Intelligence for Remediation

Correlating vulnerability information with threat intelligence is required to prioritize remediation efforts. Listing of vulnerabilities using the CVE numbering system does not mean that these vulnerabilities are being exploited in practice.

The vulnerabilities must be mapped with:

  • Known Exploited Vulnerabilities
  • Publicly available exploits
  • Ransomware & Intrusion Campaigns

Immediate mitigation actions need to be considered for vulnerabilities that an adversary can leverage in attacks, particularly those related to externally facing resources.

Threat intelligence feeds, security advisories, and exploit databases should be incorporated into cloud vulnerability management practices.

8. Monitor Remediation Metrics and Operational Performance

Monitoring remediation effectiveness must be done using predetermined operational metrics. The metrics help in measuring how long it takes for vulnerabilities to be detected, prioritized, and remediated.

These include:

  • Mean time to detect (MTTD)
  • Mean time to remediate (MTTR)
  • Count of open vulnerabilities by level of severity and exposure
  • SLA compliance for remediation timelines

The measures are useful in determining the time required to detect, prioritize, and fix the vulnerabilities.

The trend analysis will show any recurring problems, such as slow patching cycles or similar vulnerabilities, across the same workload. This information will help you modify your processes and allocate resources effectively.

9. Integrating Vulnerability Management with Security & Compliance Frameworks

The steps involved in vulnerability management must align with industry-recognized security frameworks such as NIST and CIS. The frameworks provide guidelines for identifying, evaluating, and remediating security vulnerabilities.

For each phase in the vulnerability assessment process, the following aspects must be covered:

  • Identify and maintain asset inventory
  • Conduct periodic vulnerability assessments
  • Take remedial action based on risk

It also helps fulfill the requirement from an audit perspective. Integrating governance policies will ensure that all cloud environments adhere to vulnerability management.

Enhancing Cloud Security through Vulnerability Management Best Practices

A complete asset inventory provides the basis for identifying all assets during the vulnerability discovery process. If risk management and vulnerability prioritization are done based on exposure and exploit information, mitigations can focus on the vulnerabilities that will have a real impact when remediated. Continuous testing of an application throughout the software development lifecycle will enable rapid transition from detection to fix and, therefore, faster reduction of vulnerabilities.

Continued operational excellence will be critical. Process definitions for patch management, integration with threat intelligence, and remediation performance metrics will enhance operational excellence. Framework alignment, as part of the overall process improvement cycle, ensures auditability and compliance. The adoption of best practices in vulnerability management by security professionals will reduce their overall exposure and mitigate the risks associated with cloud computing