Upwind CNAPP

Upwind CNAPP is a cloud security platform that combines application security, security posture, and real-time protection across development and production. Agentless cloud scanners and runtime sensors provide live inventory, surface exposures, and protect workloads in real time. Listed capabilities include CSPM, CIEM, DSPM, AI-SPM, attack path analysis, vulnerability management, Kubernetes and serverless security, API security, DAST, and cloud detection and response. Upwind describes high-signal exposure prioritization as a way to focus on risk. Its cloud integrations cover AWS, Google Cloud, Microsoft Azure, and Oracle Cloud. The integrations directory lists tools such as Jira, Slack, GitHub Actions, Azure DevOps, Bitbucket, Argo CD, CircleCI, and GitLab, along with AI services including ChatGPT, xAI Grok, OpenAI Enterprise, Anthropic Enterprise, and Claude. The platform is available through web and API. Upwind describes a shared responsibility model for controls inherited from cloud providers and security responsibilities to customers. The company says it was founded in 2022 in San Francisco by the team behind Spot.io, which was acquired by NetApp. Pricing is available on request, and the CNAPP page directs prospective customers to request a demo.

Upwind CNAPP brings posture, application security, and runtime protection into a single platform, with broad cloud and security capability lists. Pricing requires an inquiry, so prospective customers should request a demo to explore fit.

Upwind CNAPP suits security teams working across development, cloud, runtime, and SOC workflows. It is aimed at organizations using cloud environments including AWS, Google Cloud, Azure, or Oracle Cloud.

Upwind CNAPP is a cloud-native application protection platform that joins application security, cloud posture management, and runtime defense. It suits security teams responsible for development, cloud, and SOC workflows across several providers. The strongest case is a unified, context-rich view of exposures and workloads; buyers who need transparent self-service pricing should look elsewhere.

Overview

Founded in 2022 by the team behind Spot.io, Upwind is designed to follow risk from code and cloud configuration into production workloads. Agentless cloud scanners and runtime sensors build live inventory, surface exposures, and apply real-time protection. That combination is more useful than a posture snapshot when teams need to understand which assets are active and which findings matter operationally.

The platform is intentionally broad. Its published coverage includes CSPM, CIEM, DSPM, AI-SPM, vulnerability management, attack path analysis, Kubernetes and serverless security, API security, DAST, cloud detection and response, and managed detection and response. Consolidation can reduce handoffs between application, cloud, and operations teams, but organizations should verify in a demo which modules match their existing processes and which would supplement current tools.

Key features

Posture, identity, and data

CSPM addresses cloud configuration risk, CIEM focuses on permissions and entitlements, and DSPM covers data-security concerns. AI-SPM extends the scope to AI-related security management. Attack-path analysis and vulnerability management are intended to help teams rank exposure by likely route to impact instead of treating every finding equally.

Runtime and workload protection

Runtime sensors add live workload context to the agentless inventory. Kubernetes and serverless coverage matters for teams whose production estate is not limited to conventional virtual machines, while cloud detection and response targets active threats. This is a stronger fit for organizations that need protection during execution, not only compliance checks before deployment.

Application and delivery integrations

API security and DAST extend the platform toward application testing and interface protection. Integrations include Jira, Slack, GitHub Actions, AWS CloudTrail, Azure DevOps, Bitbucket, Argo CD, CircleCI, and GitLab, supporting ticketing, pipelines, source control, and operational alerts. The directory also lists ChatGPT, xAI Grok, OpenAI Enterprise, Anthropic Enterprise, and Claude integrations for teams incorporating AI services.

Cloud architecture and safeguards

AWS, Google Cloud, Microsoft Azure, and Oracle Cloud are supported, making the platform suitable for multi-cloud estates. The Outpost model runs cloud scanners inside a customer’s AWS environment, which can help organizations keep scanning components within that boundary. Upwind describes shared responsibility for provider-inherited controls and customer obligations. It states that data in transit uses TLS and HSTS, while stored data uses encryption, access controls, and authentication. Its Trust Center lists SOC 2 Type 2, ISO/IEC 27001:2022, and GDPR. Documentation offers 24/7 support through console chat, email, or a shared Slack channel.

Pricing

Upwind uses paid, custom pricing. Prospective customers are directed to request a demo, so there is no published seat cost, quota, trial period, renewal term, or free-plan allowance to evaluate independently. This route is appropriate for enterprises that need a scoped multi-cloud deployment and commercial discussion, but it makes direct budget comparison difficult for smaller teams and buyers who prefer immediate adoption.

Platforms

Upwind is delivered through web and API interfaces. Its cloud scope covers AWS, Google Cloud, Microsoft Azure, and Oracle Cloud, with support for runtime protection, code-to-cloud security, identity security, and Kubernetes security.

Who it's for

Security organizations coordinating development, cloud engineering, runtime operations, and SOC response are the natural audience. It is particularly well matched to multi-cloud teams that want one inventory and prioritization layer spanning identities, data, applications, and workloads. Smaller organizations seeking a free tier, a fixed public price, or a narrowly focused control may find the platform’s enterprise sales path excessive.

Pros and cons

Pros

• Broad lifecycle coverage: application, posture, identity, data, Kubernetes, API, and runtime capabilities can support consolidation.
• Runtime context: scanners and sensors combine inventory with live workload signals, helping prioritize active exposure.
• Multi-cloud reach: AWS, Google Cloud, Azure, and Oracle Cloud support mixed estates.
• Operational connectivity: pipeline, ticketing, collaboration, and AI-service integrations can fit existing workflows.
• Documented security program: SOC 2 Type 2, ISO/IEC 27001:2022, GDPR, and 24/7 support provide enterprise-oriented assurances.

Cons

• Custom pricing only: buyers cannot compare cost, quotas, or trial terms without engaging sales.
• Large capability surface: teams must validate module fit and overlap with current products before committing.
• Shared-responsibility obligations: customers retain controls and duties that are not covered by cloud providers.

Alternatives

Compare cloud-native application protection platforms for a wider shortlist.

• Qualys TotalCloud is a better starting point when a free license for limited API calls or a free trial is important.
• OpenCNAPP suits teams wanting a free, self-hosted option.
• Palo Alto Networks Cortex Cloud API Security is an alternative for paid API-, Linux-, and web-based deployments.
• FortiCNAPP is worth considering when Linux, Windows, and web support with vCPU-based entitlements fits procurement.
• Sysdig Secure is a choice for host-based licensing across broad operating-system and deployment options.
• Wiz Defend fits buyers seeking modular, quote-based licensing without a free plan.
• AccuKnox is preferable when freemium access or pay-as-you-go modules are priorities.
• Cloudanix may suit teams wanting a free trial and a per-monitored-asset posture plan.

Verdict

Choose Upwind CNAPP if your security program needs one multi-cloud platform linking code-to-cloud controls with live runtime protection and broad identity, data, workload, and application coverage. Its main reason to look elsewhere is commercial opacity: without public pricing or trial terms, smaller teams and cost-sensitive buyers should compare transparent or free alternatives before entering a sales process.