Orca vs SentinelOne Singularity Cloud: which CNAPP fits your team?
Cloud Security Compare editors · Matchups reviewed September 2026 · Editorial assessment
The short version
Orca Security scores higher, 4.2 to 3.8, and wins four of seven criteria: agentless coverage, attack paths, code security and AI workload security. SentinelOne wins runtime protection depth (4.5 against 3.8) and ecosystem (4.2 against 4.1), and its Offensive Security Engine validates which exposures are exploitable. Pick SentinelOne if you already run Singularity for endpoints; pick Orca for cloud-first coverage.
Orca Security
4.2/ 5
SentinelOne Singularity Cloud
3.8/ 5
Orca Security wins 4 criteria, SentinelOne Singularity Cloud wins 2, 1 tied.
What is the verdict?
Both vendors sell an agentless CNAPP and a runtime layer, but from opposite ends: SentinelOne from endpoint protection, Orca from agentless cloud scanning. SentinelOne's distinctive feature is exploit validation, Verified Exploit Paths from its Offensive Security Engine, which competes directly with Orca's risk scoring. We score Orca slightly ahead on prioritization (4.8 against 4.3) because its attack paths draw on full workload context from SideScanning.
How do Orca and SentinelOne compare on each criterion?
Agentless coverage and time to value
Weight 18%
Orca: SideScanning reads workload block storage out of band and covers VMs, containers and serverless across six clouds, including Oracle, Alibaba and Tencent.
SentinelOne: Cloud Native Security is an agentless CNAPP for multi-cloud estates.
Runtime protection depth
Weight 16%
Orca: The eBPF Orca Sensor adds runtime detections and can terminate processes, but it is an optional layer and less proven than runtime-first rivals.
SentinelOne: Cloud Workload Security detects and stops threats inside running containers, VMs and AI workloads.
Risk prioritization and attack paths
Weight 18%
Orca: Dynamic risk scoring and attack path analysis on one data model built from full agentless context.
SentinelOne: The Offensive Security Engine checks which exposures are exploitable and shows Verified Exploit Paths.
Code-to-cloud and AppSec
Weight 14%
Orca: SCA, SAST, secrets, IaC and image scanning with GitHub, GitLab and Azure DevOps, plus cloud-to-code tracing that opens pull requests.
SentinelOne: Scans repositories, IaC templates and container images, and validates 850+ secret types.
AI workload security
Weight 12%
Orca: AI-SPM inventory, shadow AI discovery, MCP server monitoring and AI AppGen Security for apps built on AI app builders.
SentinelOne: AI-SPM governs AI models, services and data pipelines.
Ecosystem and integrations
Weight 12%
Orca: Covers the source-control and CI/CD tools buyers expect, but its partner and market footprint is smaller than Wiz's or the platform vendors'.
SentinelOne: Shares one data model and response workflow with the wider Singularity platform.
Pricing transparency
Weight 10%
Orca: No public price list; the pricing URL returns a 404 and quotes go through sales.
SentinelOne: No published cloud security price.
Scores are 0 to 5. The marker leans toward the stronger vendor; a gap of 1.5 or more pins it to the end. How to read these bars
What are the key differences?
| Fact | Orca Security | SentinelOne Singularity Cloud |
|---|---|---|
| Deployment | Agentless SideScanning of workload block storage; optional Orca Sensor for runtime | Agentless CNAPP (Cloud Native Security) plus Cloud Workload Security for runtime |
| Runtime sensor | Orca Sensor, eBPF-based, Linux, Kubernetes and Windows; can be configured to terminate processes | Cloud Workload Security for containers, VMs and AI workloads |
| Clouds named | AWS, Azure, Google Cloud, Oracle Cloud, Alibaba Cloud, Tencent Cloud | Multi-cloud (the pages we reviewed do not list clouds by name) |
| Code security | SCM posture, SCA, SAST, secrets, IaC and container image scanning; GitHub, GitLab, Azure DevOps; cloud-to-code tracing into pull requests | Repository, IaC template and container image scanning; 850+ secret types validated |
| AI security | AI-SPM (models, pipelines, training data, AI packages), shadow AI, MCP server monitoring, AI AppGen Security (unveiled ahead of Black Hat USA 2026) | AI-SPM for models, services and data pipelines |
| Ownership | Standalone vendor | SentinelOne |
| Public pricing | Not published. Contact sales. | Not published. Contact sales. |
| Open-source project | None named | None named |
Orca Security sources: Orca platform · SideScanning · Orca Sensor · Application security · AI security · AI AppGen Security · Reviewed Sep 2026
SentinelOne Singularity Cloud sources: Singularity Cloud · Cloud Native Security · Reviewed Sep 2026
When should you pick Orca?
- Your cloud team, not your SOC, owns the purchase.
- You want agentless coverage plus SCA, SAST, IaC and secrets scanning in one platform.
- You need the widest named cloud list in this comparison.
When should you pick SentinelOne?
- Your SOC already runs SentinelOne Singularity and you want one data model for endpoint and cloud.
- You want evidence that a finding is exploitable before it becomes a ticket.
- Runtime threat prevention inside containers and VMs is a hard requirement.
What do buyers get wrong about this matchup?
SentinelOne is sometimes treated as an endpoint vendor with a cloud add-on. Its Cloud Native Security product is an agentless CNAPP in its own right. The fair comparison is Orca's agentless platform and sensor against SentinelOne's agentless CNAPP and workload protection, which is how we scored it.
Frequently asked questions
Is SentinelOne Singularity Cloud agentless?
SentinelOne describes Cloud Native Security as an agentless CNAPP. Runtime protection comes from Cloud Workload Security.
What is a Verified Exploit Path?
SentinelOne's term for evidence, produced by its Offensive Security Engine, that an exposure can be exploited to reach a critical asset. SentinelOne says this reduces false positives by up to 66%; that is a vendor claim.
Which scores higher, Orca or SentinelOne?
Orca, 4.2 against 3.8 in our editorial assessment.