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 for SaaS access, 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 338 Cloud Security tools, 98 free and 240 commercial.
Accuracy and depth improve over time. Last reviewed Oct 2026. Is something off? Reach out.
New to this category? What is Cloud Security?
Sysdig is a universal system visibility tool that provides deep monitoring and analysis capabilities for traditional systems and containerized environments through system call tracing and network activity monitoring.
A multi-account AWS security tool that identifies misconfigurations, provides real-time reporting, and performs automated remediation to establish secure cloud guardrails.
An open-source script that performs automated security assessments of Docker containers and hosts against CIS Docker Benchmark standards.
Docker's Actuary is an automated security assessment tool that checks Docker container deployments against configurable best-practice checklists to ensure production readiness.
MKIT is a Docker-based security assessment tool that identifies common misconfigurations in managed Kubernetes clusters across AKS, EKS, and GKE platforms.
A deprecated Kubernetes workload policy enforcement tool that helped secure multi-tenant clusters through various security policies and configurations.
A Docker security analysis tool that scans containers and networks to identify vulnerabilities and security weaknesses in Docker environments.
Clair is an open source static analysis tool that scans application containers for known vulnerabilities through API-based image indexing and matching.
Buildah is a command-line tool for building and managing container images in OCI and Docker formats without requiring a running daemon.
A setuid implementation of user namespaces that enables running unprivileged containers without root privileges as a secure alternative to traditional container runtimes.
Atomic Reactor is a Python library and CLI tool for building Docker images with advanced features including Git integration, registry operations, and build system integration.
Cloudmarker is a configurable cloud monitoring tool and framework that audits Azure and GCP environments by retrieving, analyzing, and alerting on cloud security data.
Cloud Sniper is a centralized cloud security operations platform that provides incident response, threat correlation, and automated security actions for cloud infrastructure protection.
A Docker security vulnerability where disabling inter-container communication (ICC) fails to block raw ethernet frames, allowing unexpected data transfer between containers via raw sockets.
A service for better visibility on networking issues in Kubernetes clusters by detecting traffic denied by iptables.
A framework for analyzing container images, running scripts inside containers, and gathering information for static analysis and policy enforcement.
kube-hunter is a security scanning tool that identifies vulnerabilities and security weaknesses in Kubernetes clusters through automated assessment and provides detailed reporting with remediation guidance.
Kube-bench is a security assessment tool that validates Kubernetes deployments against CIS Kubernetes Benchmark standards through automated configuration checks.
CloudSploit by Aqua is an open-source multi-cloud security scanning tool that detects security risks and compliance issues across AWS, Azure, GCP, OCI, and GitHub platforms.
A command-line interface tool for managing container image security analysis, vulnerability scanning, and policy enforcement through the Anchore Engine REST API.
LambdaGuard is an AWS Lambda auditing tool that provides security configuration checks, statistical analysis, and service dependency mapping for serverless functions.
A command-line security auditing tool that performs Lynis-based security assessments across AWS, GCP, Azure, and DigitalOcean cloud platforms.
A container compliance and vulnerability assessment tool that uses OpenSCAP to scan Docker images and running containers for security vulnerabilities and compliance violations.
A userland implementation of the Network Block Device protocol that enables remote block device access over network connections for distributed storage and virtualization use cases.
338 tools across 10 specializations · 98 free, 240 commercial
Cloud Application Detection and Response
Cloud Application Detection and Response (CADR) platforms for real-time threat detection, incident response, and security monitoring in cloud application environments.
Cloud Investigation and Response Automation
Cloud Investigation and Response Automation (CIRA) tools for automated incident investigation, threat hunting, and security response orchestration in cloud infrastructures.
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.
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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.