Datadog Cloud Workload Protection
Datadog Cloud Workload Protection: A clear-priced runtime security layer for Linux, Windows, containers, Kubernetes, and Fargate. Ranked #14 of 23 in Cloud Detection and Response Software by our editors (7.7/10); pricing: 14-day trial; best for transparent-priced workload runtime protection.
At a glance
- Editor score7.7 / 10
- Pricing14-day trial
- Best forTransparent-priced workload runtime protection
- Free planNo
- Paid from$1/device/mo
- Automated responseYes
- Founded2010 · New York City, New York, USA
- Facts checked22 Sep 2026
Where it wins
- Real-time monitoring across hosts, containers, Kubernetes, and AWS Fargate
- eBPF Linux analysis plus Windows Server monitoring
- Custom rules, investigation, and automated response actions
Where it doesn't
- No free plan is available
- Host pricing is higher when billed monthly
- Coverage is centered on the Datadog platform
Our verdict on Datadog Cloud Workload Protection
Datadog Cloud Workload Protection monitors runtime activity across Linux and Windows hosts, containers, Kubernetes environments, and AWS Fargate. It analyzes file, process, kernel, and network activity to detect threats, create security signals, and support investigation. Teams looking for workload detection with container coverage, custom rules, file integrity monitoring, and response actions will find a focused fit, particularly when runtime security needs to connect with Datadog observability and security workflows.
Pricing is divided by protected resource. The Workload Protection host plan costs $15 per host per month with annual billing or $18 with monthly billing, including deep file and process monitoring, eBPF-powered analysis, and network anomaly detection. Container protection costs $1 per container per month with either annual or monthly billing, or $0.002 per container hour. AWS Fargate protection costs $2.60 per task per month annually, $3.10 monthly, or $3.70 per task per month. A 14-day free trial is available, but there is no free plan.
The standout capability is runtime visibility across different workload types: eBPF-based Linux monitoring, Windows Server monitoring, container and Kubernetes detection, curated and custom detection rules, and automated process, container, and network response. File integrity monitoring and security signal triage add investigation depth beyond basic alerting. The product supports web, Windows, Linux, and API access, and connects runtime security context with the broader Datadog platform. Choose it for multi-cloud workload protection with disclosed usage-based pricing; consider another option if a standalone platform with a different ecosystem fit is the priority.
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Datadog Cloud Workload Protection pricing
All 3 Datadog Cloud Workload Protection plans and prices →
Datadog Cloud Workload Protection fact sheet
| Free plan | No |
|---|---|
| Paid from | $1/device/mo |
| Cloud coverage | Multi-cloud |
| Control-plane detection | Not verified |
| Workload detection | Yes |
| Identity threat detection | Not verified |
| Automated response | Yes |
| Container detection | Yes |
| Log retention | Not verified |
| Free trial | 14 days · no card needed |
| Deployment | Cloud |
| Platforms | Web, Windows, Linux |
| Compliance & security | SOC 2, ISO 27001, GDPR |
| Support | Email, Live chat, Tickets, Community, Docs, Phone |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 1,000+ integrations See all → |
| Pricing | 14-day trial (source) |
| Website | datadoghq.com |
| Facts checked | 22 Sep 2026 |
Alternatives to Datadog Cloud Workload Protection
- Wiz DefendBroad hybrid-cloud detection and response with investigation and containment automation.9.4
- Upwind Cloud Detection and ResponseMulti-cloud detection, investigation, and response across workloads, identities, and control planes.9.2
- Cortex Cloud Detection and ResponseAI-led cloud detection, investigation and containment across hybrid workloads.9.0
See all Datadog Cloud Workload Protection alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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