Cloud security

Most cloud breaches start with something ordinary: a storage bucket left public, an access key in a repository, a container image with a known vulnerability, or a permission far broader than the job needs. Cloud security tools look for these problems across accounts, workloads and code, and help teams fix the ones that matter most first.

Posture tools such as Wiz, Orca Security, Microsoft Defender for Cloud and Upwind connect to cloud accounts and map resources, identities, network exposure and vulnerabilities. The better ones show combinations that create real risk, such as an internet-facing machine with a critical vulnerability and access to sensitive data, instead of long lists of individual warnings.

Container and runtime tools such as Aqua Security and Sysdig cover images, Kubernetes and what workloads actually do while running. Developer-focused tools catch problems earlier: Snyk scans code, dependencies, images and infrastructure as code, and Checkov is an open-source scanner for Terraform, CloudFormation and Kubernetes files that runs in a pipeline before anything is deployed.

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8 AI DevOps tools in cloud security

Snyk

Developer security tool that finds vulnerabilities in code, open-source dependencies, containers and infrastructure as code.

  • Free plan or free tier
  • Has an API

Checkov

by Prisma Cloud

Open-source scanner that checks Terraform, CloudFormation, Kubernetes and other IaC files for security misconfigurations.

  • Free plan or free tier
  • Open source

Wiz

Cloud security platform that scans cloud accounts without agents and shows risky settings, exposed secrets and attack paths.

  • Works with AWS
  • Works with Kubernetes

Orca Security

Agentless cloud security platform covering misconfigurations, vulnerabilities and sensitive data across cloud accounts.

  • Works with AWS

Aqua Security

Security for containers, Kubernetes and cloud workloads, from image scanning in the pipeline to runtime protection.

  • Works with Kubernetes

Sysdig

Cloud and container security built on runtime insight, including the open-source Falco project, with an AI security assistant.

  • Works with Kubernetes

Microsoft Defender for Cloud

by Microsoft

Microsoft's cloud security posture and workload protection for Azure, AWS and Google Cloud.

  • Works with AWS

Upwind

Cloud security platform that combines posture checks with runtime data to show which risks are active in running workloads.

  • Works with AWS

AI features in this category explain findings in plain language, suggest fixes, and let people ask questions about their environment instead of writing queries. They help with triage but do not replace a plan for who fixes what. When you evaluate, check what access each tool needs, how it handles the sensitive data it will see, and whether its findings fit into the tickets and pipelines your teams already use.

Ownership is where many cloud security programs stall. A scanner can find thousands of issues in its first week, and if they all land on a small security team, little gets fixed. The teams that make progress route each finding to the team that owns the resource, agree on deadlines by severity, and fix the root cause in infrastructure code so the same problem does not return with the next deploy. Guardrails help as well: policies that block public storage or wide-open security groups at deploy time prevent whole classes of findings. During a trial, connect a real but non-critical account, compare the findings with what you already know, and judge the tool by how many of its top findings your engineers agree are worth fixing. Also check how it handles accounts you add later, since new projects and acquisitions bring new cloud accounts that need the same coverage from the first day.

Questions about cloud security

What does agentless scanning mean?

The tool reads cloud configuration and disk snapshots through the provider's APIs instead of installing software on each machine. It is quicker to roll out, though runtime tools still see things it cannot.

Where should we scan infrastructure code?

In the pipeline, before deploy, so problems are caught in review. Open-source scanners such as Checkov are an easy start, and many platforms include IaC scanning too.

How do we avoid drowning in findings?

Prioritize by real exposure: internet-facing, exploitable and close to sensitive data first. Tools that show attack paths help, and so does sending findings to the team that owns the resource.

Do these tools make us compliant?

They help collect evidence and check settings against frameworks. Compliance itself depends on your processes and on auditors, not on a tool alone.

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