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Cloud security covers the tools that protect what you run in AWS, Azure, GCP, and the SaaS apps your business depends on: catching misconfigurations before attackers do, watching workloads at runtime, governing the identities and permissions that quietly became the real perimeter, and detecting and responding to threats inside cloud control planes. The space splits into two broad jobs. Posture work (CSPM, SSPM, and the consolidation play that is CNAPP) finds and fixes risk before it ships. Runtime and response work (CWPP, CADR, CDR, and Cloud Investigation and Response Automation) handles what is already live and what is actively happening. Around those sit the access and data layers: CASB and Cloud Web Application and API Protection at the edge, Serverless Security for functions, and Cloud Storage Security for the buckets and blobs where the data actually lives. If you own cloud risk, the work here is deciding how much you buy as one platform versus best-of-breed, and how you cover both infrastructure and SaaS without leaving gaps between them.
We cover 391 Cloud Security tools, 108 free and 283 commercial.
Accuracy and depth improve over time. Last reviewed Jun 2026. Is something off? Reach out.
Weave Scope is a real-time visualization and monitoring tool that automatically maps Docker container infrastructures and microservices, providing interactive topology views and direct container management capabilities.
Prowler is an open source multi-cloud security assessment tool that performs audits, compliance checks, and security evaluations across AWS, Azure, GCP, and Kubernetes environments.
A Docker MultiStage build implementation that integrates CVE scanning into Alpine Linux container builds using Docker 17.05's build-time vulnerability assessment capabilities.
PacBot is a cloud security platform that provides continuous compliance monitoring, automated policy enforcement, and security reporting through policy-as-code implementation and multi-source data integration.
An open-source policy-as-code platform that analyzes multi-cloud and SaaS environments using SQL and YAML policies with GPT integration for security, cost, and architecture assessments.
A tool that generates Terraform files for creating Azure Policy Initiatives to implement cloud security guardrails and enforce organizational standards at scale.
FunctionShield is a Serverless Security Library for Developers to enforce strict security controls on AWS Lambda & Google Cloud Functions runtimes.
A Terraform module that provides a compliance-focused AWS EKS setup with security hardening for PCI-DSS, SOC2, and HIPAA requirements.
Gatekeeper is a policy management tool for Kubernetes that provides an extensible, parameterized policy library and native Kubernetes CRDs for instantiating and extending the policy library.
A command-line tool that extracts manifest and configuration data from Docker registry images for security analysis and reconnaissance purposes.
Azucar is a multi-threaded plugin-based tool that performs read-only security assessments of Azure Cloud environments, analyzing various assets and configurations without modifying deployed resources.
Scout Suite is an open source multi-cloud security auditing tool that gathers configuration data via cloud provider APIs to identify risks and provide visibility into cloud attack surfaces.
A Golang-based container security scanner that identifies potential vulnerabilities and misconfigurations in container environments by checking namespacing, capabilities, security profiles, and host device mounts.
NAXSI is a third-party nginx module that prevents XSS and SQL injection attacks by filtering HTTP traffic based on predefined security rules.
Kubernetes security platform with industry standard open source utilities for securing Kubernetes clusters and apps.
LinuxKit is a toolkit for building custom minimal, immutable Linux distributions with secure defaults for running containerized applications like Docker and Kubernetes.
minikube is a local Kubernetes cluster management tool that enables developers to run and test Kubernetes applications on their local machines across multiple operating systems.
Kubeadm is a tool for creating Kubernetes clusters with best practices.
Security-Guard helps secure microservices and serverless containers by detecting and blocking exploits.
IronBee is an open source web application security sensor framework that provides detection and prevention capabilities for web application vulnerabilities.
A collection of tools to debug and inspect Kubernetes resources and applications, managing eBPF programs execution and mapping kernel primitives to Kubernetes resources.
AWS Scout2 is a security assessment tool that uses the AWS API to gather configuration data and automatically identify security risks in AWS environments.
gVisor is a Go-based application kernel that provides enhanced container isolation by implementing Linux system calls and limiting host kernel exposure through its runsc OCI runtime.
AWS Web Application Firewalls (WAFs) are cloud-based security services that protect web applications and APIs from internet-based attacks through customizable filtering rules and centralized management capabilities.
391 tools across 11 specializations · 108 free, 283 commercial
Cloud Security Posture Management
Cloud Security Posture Management (CSPM) platforms for continuous cloud security monitoring, compliance checking, and misconfiguration detection across AWS, Azure, and GCP.
SSPM
SaaS Security Posture Management (SSPM) tools that assess and harden the security posture of SaaS applications, distinct from CSPM and CASB.
Container Security
Container security tools for securing Docker containers, Kubernetes clusters, and containerized applications throughout the DevOps lifecycle.
Tool roundups, buying guides, and strategic analysis from the CybersecTools resource library.
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Common questions about Cloud Security tools, selection guides, pricing, and comparisons.
Cloud security is the discipline and tooling for protecting infrastructure, applications, identities, and data hosted in public cloud and SaaS environments. It spans finding misconfigurations and excess permissions before they cause incidents, defending running workloads, governing access at the edge, and detecting and responding to threats inside cloud control planes. It differs from on-prem security because the attack surface is API-driven and changes by the minute.
Match it to your operating model. CNAPP consolidates CSPM, CWPP, and adjacent functions into one platform with shared context, which suits teams that want a single console and correlated findings across posture and runtime. Point tools win when one capability, say runtime detection or SaaS posture, has to be excellent and the rest is good enough. Watch for coverage gaps between vendors and the cost of stitching findings across separate consoles yourself.
Both manage posture, for different surfaces. CSPM (Cloud Security Posture Management) finds misconfigurations and risky settings in infrastructure like AWS, Azure, and GCP: open storage, weak IAM, exposed compute. SSPM (SaaS Security Posture Management) does the same job for SaaS applications like Microsoft 365, Salesforce, and Google Workspace: oversharing, risky OAuth grants, weak admin settings. Many programs need both because infrastructure tools rarely see inside SaaS.
Most mature programs run both. Agentless scanning (snapshot or API-based) gives fast, broad coverage with no deployment friction, ideal for posture and inventory across thousands of assets. Agent-based tooling gives deeper runtime visibility: live process activity, in-memory threats, real-time blocking. The practical question is which workloads justify an agent, and whether your chosen platform combines both views without forcing you to pick.
Open-source tools (cloud config scanners, IaC linters, runtime monitors) are genuinely useful and often the right starting point for posture checks and CI gating. They tend to fall short on multi-cloud correlation, identity graphing, managed threat detection, and the response automation larger estates need. The honest test is your estate size and team capacity: small footprints go far on open source, while broad multi-cloud and SaaS coverage usually justifies a commercial platform.