Cavirin vs Scout Suite

Cavirin is a security and compliance platform for cloud services and corporate data centers. It monitors environments without agents, reports security posture, and supports remediation. Its coverage includes AWS, Google Cloud Platform, Microsoft Azure, Oracle Cloud, on-premises data centers, containers, Kubernetes, and networking equipment, including Cisco Firepower and Cisco Meraki devices. More than 30 policy packs cover compute and cloud services across AWS, Azure, and GCP. Cavirin calculates a cyberposture score from 0 to 100, and its AI scoring uses historical information and current trends to project score trends up to 180 days ahead. Automatic remediation can use cloud functions and Ansible. The listed compliance evidence covers HIPAA, PCI, SOC2, ISO, GDPR, NIST, and DISA. Integrations include Slack, PagerDuty, ServiceNow, Jira, and Google Cloud Security Command Center; GuardDuty and Exploits DB integrations can raise the priority of gaps linked to threats and exploits. The free plan costs nothing and covers up to 25 on-premises virtual machines or one cloud account with up to 25 instances. It has no live customer support. Premium has no listed price and requires a minimum annual purchase of USD 12,000.

Scout Suite is a free, open-source command-line tool for assessing cloud security posture. It gathers configuration data through cloud-provider APIs and highlights risk areas, giving security consultants and auditors a point-in-time view of the account where it runs. The CLI creates a local HTML report containing findings and cloud-account configuration. After collection, the project says usage can continue offline. Supported providers include AWS, Azure, and Google Cloud Platform, with alpha support for Alibaba Cloud, Oracle Cloud Infrastructure, Kubernetes clusters on a cloud provider, and DigitalOcean Cloud. Scout Suite runs on Linux, macOS, or a self-hosted setup and is written in Python, with support listed for Python 3.9, 3.10, and 3.11. Installation uses pip or a cloned Git repository with its requirements installed. Cloud credentials must already be configured, such as through a provider CLI. The multi-threaded tool keeps configuration settings in memory while running, and the setup guide warns that a resource-limited VM such as AWS t2.micro may have its process killed. The repository uses GPL-2.0.