Orca vs Wiz (2026): Which Agentless CNAPP Wins

If you are choosing an agentless cloud-native application protection platform in 2026, two names dominate the shortlist: Orca vs Wiz. This post compares them head to head, with a slant toward what matters when your cloud is hosting AI and ML workloads. If your shortlist also includes the broad enterprise option, see our companion piece on Wiz vs Prisma Cloud.

The short answer

• Orca - pick this if you want the agentless SideScanning pioneer with a unified data model that correlates posture, vulnerabilities, identities, and data risk into one context-aware view, and you value deep, complete coverage straight from cloud snapshots. Best when unified data and breadth of coverage matter most.
• Wiz - pick this if you want the Wiz Security Graph and best-in-class attack-path analysis, the fastest time-to-value in the category, and Google’s resources behind the roadmap after the acquisition. Best when graph-driven prioritization and momentum matter most.
• Both - occasionally run side by side during a migration or split by team, but rarely a long-term goal because the platforms overlap heavily and you end up paying twice for the same coverage.

The rest of this post unpacks that decision in detail.

Deciding factor to pick

Match your priority to the recommendation. This is the Orca vs Wiz decision in one table:

If you only remember one rule: Orca wins on unified data and depth of agentless coverage, Wiz wins on attack-path graph signal and time-to-value.

What each tool is

• Orca Security is the agentless CNAPP that pioneered SideScanning, a technique that reads point-in-time snapshots of your cloud workloads out-of-band and analyzes them with zero agents and no runtime performance hit. It feeds everything into a unified data model that correlates CSPM, CWPP, CIEM, DSPM, and vulnerability findings so risk is shown in full context rather than as disconnected alerts.
• Wiz is an agentless CNAPP that scans cloud workloads from snapshots and cloud APIs, then maps risk in the Wiz Security Graph to show attack paths across CSPM, CWPP, CIEM, and DSPM. It is known for very fast time-to-value and sharp prioritization. Wiz was acquired by Google in a $32 billion all-cash deal that closed in March 2026, with a commitment to keep Wiz multi-cloud across AWS, Azure, and other clouds.

Orca vs Wiz: head-to-head

When to choose Orca

Pick Orca when:

• You want the agentless SideScanning approach from the company that pioneered it, with zero agents and no runtime performance hit.
• You value a unified data model that correlates posture, vulnerabilities, identities, and data risk so findings come with full context instead of as isolated alerts.
• Your priority is deep, complete coverage of every workload pulled straight from cloud snapshots.
• You want strong data security posture (DSPM) and vulnerability management baked into the same context-aware view.
• You prefer an independent specialist focused purely on agentless cloud security rather than a platform inside a hyperscaler.
• You want a tool that surfaces AI assets inside the unified model so risky model endpoints and training-data buckets show up alongside everything else.

When to choose Wiz

Pick Wiz when:

• You want the Wiz Security Graph to cut through alert noise and show the few attack paths that actually expose you.
• Your priority is the fastest agentless time-to-value and a posture view a small security team can operate without a heavy rollout.
• You run a large multi-cloud estate across AWS, Azure, and Google Cloud and want one consistent view fast.
• You want a vendor with Google’s backing, deep pockets, and clear momentum behind the roadmap after the 2026 acquisition.
• You want a tool that maps AI assets into the attack-path graph so an exposed model endpoint or training-data bucket shows up as a real breach path.
• You value graph-driven prioritization and want the sharpest answer to the question “what should I fix first.”

Can you use them together?

Sometimes, but it is rarely the goal. Large organizations occasionally run both during a CNAPP migration, or split them by business unit after an acquisition. The catch is that Orca and Wiz overlap heavily on CSPM, CWPP, CIEM, and data security - both are agentless-first platforms doing the same core jobs - so running both long term means paying twice for the same posture coverage and reconciling two sets of findings.

A more realistic combined pattern is choosing one as your primary agentless CNAPP and keeping a specialized point tool alongside it for a gap the platform does not cover well - for example dedicated AI security testing for model-layer threats. For securing the build-to-runtime path your AI ships through, see our AI Supply Chain Security service. Most teams should standardize on one CNAPP and consolidate point tools into it.

Cost comparison

Both are commercial enterprise platforms with custom, quote-based pricing - neither publishes flat list prices, so ignore any specific dollar figure you see quoted out of context.

• Orca prices by cloud assets or workloads and competes hard on coverage per dollar, leaning on its unified data model to argue you are replacing several point tools at once.
• Wiz pricing typically scales with workload counts and is often praised for being predictable and easy to forecast as your cloud grows.

The cheaper option depends entirely on which capabilities you actually need and how your asset counts map to each vendor’s metering. If you only want core agentless posture and attack-path analysis, both models are easy enough to reason about. If you are consolidating a data security tool, a vulnerability scanner, and a posture tool all at once, focus on coverage per dollar rather than headline price. Standard discipline applies either way: scope to the workloads you will really protect, get quotes against your actual footprint, and revisit counts as it changes.

A note on AI workloads

Whichever agentless CNAPP you pick, remember that AI workloads add attack surface a traditional cloud security setup may not have in scope. Model endpoints can be exposed to the internet, training-data buckets often hold sensitive data and get over-permissioned, vector stores leak embeddings, and GPU nodes run privileged workloads that are attractive targets. Both Orca and Wiz now offer AI security posture management (AI-SPM) to discover these assets and flag risky configurations, and Wiz extends its Security Graph to show how an exposed AI asset connects to a real breach path while Orca surfaces the same risk inside its unified data model.

But a CNAPP secures the cloud infrastructure hosting your AI - it does not test the model itself. Model-layer threats like prompt injection, data poisoning, and model theft sit outside CNAPP scope and need dedicated AI security testing. Knowing your full AI attack surface means covering both layers.

Common pitfalls

• Treating agentless as total coverage - SideScanning and snapshot-based analysis are excellent for posture and vulnerabilities, but if you need live runtime threat detection, plan for an optional sensor or a dedicated runtime tool.
• Chasing the graph and ignoring the data - an attack-path graph is only as good as the underlying coverage feeding it; make sure the platform actually sees every account and asset before you trust its prioritization.
• Ignoring AI assets in scope - model endpoints, training-data buckets, vector stores, and GPU nodes are real attack surface; if your CNAPP rollout does not include them, you have a blind spot.
• Assuming a CNAPP covers model-layer threats - prompt injection and data poisoning are not in CNAPP scope; you still need dedicated AI security testing.
• Running two CNAPPs indefinitely - overlapping coverage means double cost and double the findings to reconcile; pick one primary platform after any migration.

Related reading

• Wiz vs Prisma Cloud - how Wiz stacks up against the broad enterprise CNAPP option
• AI Attack Surface Assessment - map every exposed AI asset in your cloud and how it connects to real breach paths
• AI Supply Chain Security - secure the code-to-cloud path your AI ships through
• AI Threat Intelligence - turn CNAPP findings into prioritized, AI-specific threat intelligence
• More on the infosec.qa blog - AI security intelligence, attack surface, and cloud security analysis

Getting help

We help Series A-C AI companies know their AI attack surface and pick the right cloud security stack. An infosec.qa engagement maps your exposed AI assets, pressure-tests your agentless CNAPP coverage against real attack paths, and hands you a prioritized remediation plan - so the platform you choose, Orca or Wiz, is actually catching what matters.

Book a free scope call.