Top seven CNAPP tools to look out for
Wiz offers agentless cloud environment scanning, featuring Security Graph technology to map connections and identify vulnerabilities. It efficiently prioritizes and remediates critical threats without impacting performance, uncovering hidden risks like exposed secrets, misconfigurations, and excessive permissions. Trusted by companies such as Snowflake, Salesforce, and Fox.

Pricing
Positioned as a premium tool, suitable for large enterprises.Typically priced per workload or per cloud asset, depending on organization size.
Pros
- High visibility across multi-cloud environments like AWS, Azure, and GCP.
- Effective at identifying and prioritizing cloud vulnerabilities.
- Strong capabilities in Cloud Security Posture Management (CSPM).
- Providescontextualized alerts to prioritize critical issues
- Automated compliance management, helping organizations adhere to standards.
Cons
- Limited runtime protection compared to other tools.
- Primarily focused on CSPM rather than other cloud-native security aspects.
- The learning curve can be steep for beginners.

CrowdStrike Falcon Cloud Security is designed for breach prevention and simplifies cloud security management. It leverages advanced technology from the CrowdStrike Falcon Platform to extend endpoint protection into cloud environments. Trusted by organizations like Marriott, Kansas Action for Children, Orica, and Bloomberg, it provides comprehensive cloud security solutions.

Pricing
Premium pricing, primarily used by large enterprises. Based on features selected and organizational requirements, typically with modular pricing.
Pros
- AI-driven threat intelligence for advanced detection.
- Comprehensive security for cloud workloads and endpoints.
- Strong runtime protection, minimizing the impact of threats in real-time.
- Compliance reporting, especially for regulated industries.
- Known for its proactive approach to threat intelligence and cybersecurity.
Cons
- Higher complexity, which may increase setup time.
- Premium pricing may not be cost-effective for smaller businesses.
- Some users find customization options limited in the dashboard.

Sysdig offers real-time cloud attack detection using AI and open-source Falco. It provides visibility across cloud identities, services, and workloads, helping teams identify and prioritize vulnerabilities, threats, and misconfigurations. Sysdig Secure pricing is based on agent count and user environment, with customers including IBM, T-Mobile, Experian, SAP Concur, Calendly, and Comcast.

Pricing
Mid-tier pricing, competitive with other container-focused tools. Typically billed per node or container and suited for companies using containerized applications.
Pros
- Advanced runtime protection, especially for Kubernetes and containers.
- Effective integration with CI/CD and DevOps pipelines.
- Extensive support for compliance frameworks like CIS, NIST, and PCI.
- Strong focus on container and Kubernetes security.
- Offers threat detection through behavioral analysis.
Cons
- Steeper learning curve for teams unfamiliar with Kubernetes or containers.
- May require additional configuration to maximize security insights.
- Limited cloud compliance features compared to other tools focused more broadly on cloud-native environments.

Aqua Security Platform excels in securing cloud accounts, runtime protection of containers and functions, and enhancing application and infrastructure security. Key features include Drift Prevention for immutable images, on-demand patching for vulnerabilities, and a valued sandboxing service for identifying code vulnerabilities. Pricing is based on the number of repositories and workloads, such as AWS EC2 instances, Fargate containers, and Lambda functions. Major customers include PayPal, JP Morgan Chase & Co., American Airlines, AT&T, and Audi.

Pricing
Mid-to-high pricing range. Typically structured per host or by the number of nodes in use.
Pros
- Broad security for cloud-native and containerized environments.
- Comprehensive vulnerability scanning for images and workloads.
- Compliance management for multiple frameworks, including HIPAA.
- Supports DevSecOps, helping teams secure workflows from development through deployment.
- Advanced runtime security capabilities.
Cons
- User interface can be overwhelming due to numerous features.
- Runtime monitoring may slow down container performance in some cases.
- Limited support for endpoint protection, making it less suitable for environments requiring full-spectrum security.

Orca Cloud Security Platform efficiently detects, prioritizes, and addresses risks across identities, configurations, and workloads in Google Cloud, Alibaba Cloud, Azure, AWS, Oracle Cloud, and Kubernetes. Using its agentless SideScanning™ technology, Orca connects in minutes, providing deep visibility. It supports third-party agents for runtime protection and bases pricing on the number of scanned workloads. Trusted by AutoDesk, Gannett, SAP, and Unity.

Pricing
Mid-to-high tier, with flexible plans depending on the cloud resources secured. Generally priced per cloud asset, making it scalable for mid-sized to larger organizations.
Pros
- Easy deployment without requiring an agent installation.
- Unified solution with high visibility into multiple clouds.
- Emphasis on prioritizing risks based on impact, reducing alert fatigue.
- Contextual alerts with strong compliance mapping.
- Offers detailed insights for cloud infrastructure security.
Cons
- Moderate runtime protection capabilities.
- May not have as strong container security capabilities as other tools.
- Some users may find the interface complex due to extensive features.

Ermetic provides a cloud infrastructure security platform for AWS, Azure, and GCP. It offers real-time asset discovery, risk analysis, and threat detection while meeting compliance standards. Ermetic simplifies complex cloud security tasks through intuitive visualization and step-by-step instructions, reducing the attack surface with an identity-first approach and enforcing least privilege policies at scale. The subscription-based solution deploys agentless in minutes, providing actionable insights to secure development and production. Notable acquisition by Tenable Security. Trusted by organizational stakeholders for prioritizing and remediating risks in multi-cloud environments.

Pricing
Generally lower-cost, aiming to serve small and mid-sized organizations. Typically charges based on core security features rather than advanced add-ons.
Pros
- Budget-friendly option suitable for small to mid-sized businesses.
- Provides fundamental cloud workload and endpoint security.
- Compliance checks for popular frameworks to ease regulatory processes.
- DevOps-compatible, supporting integration into CI/CD pipelines.
- Suitable for organizations seeking core cloud security at an affordable cost.
Cons
- Fewer advanced threat intelligence features compared to premium tools.
- Limited runtime protection and vulnerability scanning capabilities.
- Not ideal for high-demand enterprise environments due to its scope.
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Lacework is a cloud security platform powered by its Polygraph Data Platform, designed to automate security operations at scale. It helps organizations innovate safely by uniquely collecting, analyzing, and correlating data across AWS, Azure, GCP, and Kubernetes environments. Lacework focuses on significant security incidents by eliminating noise. It provides breach detection and investigation with detailed insights into incidents, including timing, execution, and the users, machines, and applications involved.

Pricing
Premium pricing tailored for larger enterprises with advanced security needs. Often priced based on cloud usage or volume of monitored resources.
Pros
- Strong focus on anomaly detection using machine learning.
- Supports automated compliance reporting.
- Good scalability for cloud-native applications, suitable for enterprises.
- User-friendly for DevOps integration and automated threat detection.
- Provides comprehensive security across cloud environments, Kubernetes, and containers.
Cons
- Premium pricing may deter smaller businesses.
- Learning curve for utilizing advanced AI and machine learning capabilities.
- Some users find the compliance reporting to lack customization.
