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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.
A defense-in-depth security automation framework for AWS that combines threat intelligence, machine learning, and serverless technologies to prevent, detect, and respond to threats through automated security telemetry collection and analysis.
Cloud Custodian is a YAML-based rules engine that manages and enforces security, compliance, and cost optimization policies across AWS, Azure, and GCP cloud environments in real-time.
Ice is an AWS cloud cost management tool that provides multi-level visibility into cloud spending and resource utilization to support informed reservation purchases and resource optimization decisions.
A cloud security analysis tool that creates digital twins of AWS environments using graph databases to identify attack paths and security misconfigurations through automated and manual rule-based assessments.
A Terraform module that establishes security baseline configurations for AWS accounts based on CIS benchmarks and AWS security best practices.
An automated AWS security compliance remediation system that uses Lambda functions and SQS queues to automatically fix security violations detected by AWS Config.
ElectricEye is a multi-cloud Python CLI tool that performs security posture management and attack surface monitoring across cloud service providers and SaaS platforms with over 1000 security checks mapped to 20+ compliance frameworks.
A command-line tool that shows configuration history and changes of AWS resources using AWS Config service.
CloudTrail Partitioner automates the creation and management of partitioned Athena tables for AWS CloudTrail logs with nightly partition updates.
A multi-threaded Ruby tool for comprehensive AWS security inventory collection that gathers detailed resource attributes, metadata, and policy information across AWS environments.
A command-line tool that performs automated IAM policy security linting across AWS accounts and organizations using AWS Access Analyzer validation.
Cloud Inquisitor is an AWS security tool that monitors resource ownership, detects domain hijacking, verifies security services, and manages IAM policies across multiple accounts.
A Docker container that bundles preinstalled AWS security tools for streamlined security operations and assessments in AWS environments.
A GitHub action that lints AWS IAM policy documents to identify security issues and misconfigurations with configurable severity levels and custom rules.
Varna is an AWS serverless security tool that monitors CloudTrail logs using Event Query Language to detect and alert on suspicious activities in cloud environments.
A comprehensive AWS security automation toolkit that provides event monitoring, data protection, resource management, and security configuration validation across AWS environments.
A collection of automation scripts that quickly enable essential AWS security and compliance features that are not activated by default in AWS accounts.
A cloud security assessment tool that collects cloud resource information, analyzes it against best practices, and generates compliance reports in multiple formats.
A Ruby-based tool that creates visual diagrams of AWS EC2 security group configurations to help understand network access patterns and security relationships.
Security Monkey monitors AWS, GCP, and OpenStack environments for policy changes and insecure configurations, providing historical tracking and alerting capabilities through a centralized interface.
Metabadger automates the upgrade of AWS EC2 instances to use the more secure Instance Metadata Service v2 (IMDSv2) to prevent SSRF attacks and reduce attack surface.
An open-source framework that inventories and manages AWS resources across multiple accounts by collecting data via Cross Account Assume Roles and storing it in a centralized S3 bucket for analysis.
rpCheckup is an AWS resource policy security analysis tool that identifies public, external, intra-organizational, and private resource access patterns across AWS accounts.
A Python-based Docker security audit tool that performs CIS benchmark assessments with customizable profiles and JSON reporting 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.