The OWASP Top 10 for Cloud security risks is not a “compliance list”: it is a map of the failures that repeat when an organization scales accounts, subscriptions, projects, identities, and pipelines. In practice, most relevant incidents do not come from a sophisticated 0-day, but from predictable combinations: overly broad identity, resources exposed by default, and change processes without guardrails.
The most useful thing about the Top 10 in cloud is that it forces you to look at the entire system (IAM, network, data, CI/CD, observability, and configuration) as a single attack surface. If it is managed in silos, you end up “patching” symptoms: you close a public bucket today and it opens tomorrow from another pipeline.
How the Top 10 materializes in cloud: identity, exposure, and automation out of control
In cloud, OWASP Top 10 risks tend to concentrate around identity and the management plane. A typical example: a CI/CD role with wildcard permissions to “unblock” urgent deployments; months later, that role becomes the shortest path to move laterally between projects or accounts.
Another frequent pattern is the involuntary exposure of services: open administrative endpoints, storage with permissive policies, databases accessible from the Internet “temporarily” for a migration, or queues/topics without strong authentication inside a VPC assumed to be safe. The real problem is not only the exposed resource, but the absence of detection and of a process that prevents it from happening again.
When the Top 10 talks about misconfigurations, cloud adds an accelerator: infrastructure replicates in minutes. A bad practice encoded in Terraform/CloudFormation or in a reused module turns a local error into a corporate standard.
- Identities with excessive privileges
Real consequence: unplanned access to sensitive data (PII, secrets, IP), accidental deletion of critical resources, or privilege escalation if there are also overly open trust policies (assume role). In internal audits, it is common to find “service” roles that can assume other roles without restrictions by conditions or without limits by account/environment.
- Resources exposed by inherited configurations
Real consequence: leaks via public storage, accessible administration panels, or APIs without consistent authentication/authorization controls. The blind spot is usually the “live inventory”: without an up-to-date view of what is exposed and why, teams only react when there is an external alert.
OWASP Top 10 data risks in cloud: storage, encryption, and accidental sharing
In corporate environments, the most costly risk is not “losing availability”, but exfiltrating regulated or strategic information. The Top 10 lands here on three fronts: poorly governed data at rest, data in transit without consistent guarantees, and copies/exports that escape control (snapshots, backups, data lakes, exports for analytics).
A very typical case: a team enables detailed logs to debug an incident and, unintentionally, ends up storing tokens, identifiers, or sensitive payloads in a bucket or in a logging system with excessive retention. The problem is not the log itself; it is the lack of classification and automatic controls over where that data can land.
In cloud, “sharing” is often the underestimated vector: bucket policies, snapshot sharing, signed links without reasonable expiration, or read permissions on datasets to “make it easier” for vendors. If data governance is not integrated into the change process, it becomes a collection of exceptions.
- Validate the encryption and access posture in storage
Beyond “it is encrypted”, you have to verify who can disable encryption, who can rotate keys, and who can read without going through controls. In reality, well-implemented encryption with weak key management (KMS with overly broad admins) does not reduce risk as much as people think.
- Control snapshots, copies, and exports
In real incidents, the leak happens via a shared snapshot or via an export to storage with lower control. Operationally, this requires inventorying data “derivatives” (snapshots, backups, exports) and applying the same permissions, retention, and monitoring model to them.
Management plane control: insecure configuration, poorly integrated services, and “shadow cloud”
Many OWASP Top 10 risks in cloud are explained by the management plane: provider APIs, console, IaC, and third-party tools connected with persistent credentials. When the control plane is compromised, the attacker does not need to exploit servers: they change policies, create identities, open networks, or exfiltrate data from managed services.
A common scenario is the rushed integration of SaaS tools (CI, monitoring, ticket management) with broad permissions “so it works”. If that SaaS is compromised or if a token is exposed, the impact immediately jumps to the infrastructure. This fits with the Top 10 dimension of “authentication/authorization failures” and “insecure configuration”, applied to integrations.
“Shadow cloud” also shows up: projects outside landing zones, accounts created by teams with corporate cards, or test environments with fewer controls that end up touching real data. It is not an abstract cultural problem; it is attack surface without standards, and it usually emerges when time-to-market does not have a secure and fast path.
How to do it in practice
- Create preventive guardrails in the management plane
Implement controls that block high-risk configurations before they reach production: organization/tenant policies, SCP/Policy-as-Code, and “blessed” templates for networks, logging, and encryption. In the enterprise, this reduces manual review work and prevents the error from replicating through IaC.
- Continuously verify configuration drift
Approving a PR is not enough. You have to detect changes made from the console or by uncontrolled automations. Operational validation includes reviewing control-plane events, comparing desired state vs. real state, and alerting on changes in IAM, network policies, and exposed resources.
Supply chain and CI/CD: where the Top 10 becomes an incident in hours
In cloud, Top 10 risks are amplified by automation: a compromised pipeline deploys at scale. Typical failures are secrets in variables or repositories, runners with unnecessary permissions, unsigned artifacts, dependencies without integrity control, and IaC templates without effective reviews.
The real consequence in the enterprise is not only “malicious code”: it is the ability to change infrastructure. An attacker who obtains pipeline credentials can open egress, create users, modify policies, or enable new persistent access. This often goes unnoticed if observability is centered on application metrics and not on control-plane auditing.
Another recurring failure: separating security from delivery. When checks become “one more gate” that slows down, teams create alternative paths (manual deploy, shared tokens, permanent exceptions). The risk is not the check; it is the incentive to bypass.
Technical example (IAM) of least privilege for a pipeline in AWS
A practical pattern is to limit the pipeline role by environment and by actions, and to harden the trust policy so that only the expected identity provider can assume it. For example, a GitHub OIDC trust policy that restricts repository and branch:
- Restricted trust policy (AssumeRoleWithWebIdentity)
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Principal": {"Federated": "arn:aws:iam::123456789012:oidc-provider/token.actions.githubusercontent.com"},
"Action": "sts:AssumeRoleWithWebIdentity",
"Condition": {
"StringEquals": {
"token.actions.githubusercontent.com:aud": "sts.amazonaws.com"
},
"StringLike": {
"token.actions.githubusercontent.com:sub": "repo:mi-org/mi-repo:ref:refs/heads/main"
}
}
}
]
}
Operationally, validation is not theoretical: review in CloudTrail the AssumeRoleWithWebIdentity events, confirm that the sub matches the allowed repository/branch and that there are no assumptions from unexpected refs. In addition, audit that the role does not have wildcard permissions and that deployment permissions are scoped by accounts/projects and by environment.
Recommendations for corporate environments
Applying the OWASP Top 10 to cloud works when it is translated into operable controls: live inventory of exposure, strict control of the management plane, and an identity strategy that minimizes impact if a credential falls. In large enterprises, the biggest risk is not not knowing “what OWASP says”, but not having mechanisms that prevent repeating the same failure in new teams and accounts.
Prioritize closing the paths with the greatest blast radius: excessive privileges in IAM, configurations that expose data/services, and pipelines with broad permissions. Ensure that each control has a clear way to be validated (control-plane logs, drift detection, policy reviews) and that the secure path is the fastest for teams.
Finally, treat data derivatives (snapshots, backups, exports, logs) as first-class data: same permissions, same monitoring, same retention discipline. It is where many organizations discover late that “encryption and access” were not really governed end-to-end.
Interested in Cloud Security?
Technical analysis, hands-on labs and real-world cloud security insights.