Tool Comparison

Wiz vs Orca: CNAPP Field Test 2026

Google's $32B Wiz acquisition closed in March 2026. We ran a 90-day bake-off between Wiz and Orca on the same AWS+Azure estate and graded the agentless CNAPP race honestly.

Michael
Security Engineer
6 min read

Google completed its $32 billion acquisition of Wiz on March 11, 2026 — the largest acquisition in Google's history and a signal that the CNAPP category is now strategic enough to redraw the cloud-vendor map. The question every security buyer has asked since: does the acquisition change the Wiz product, and is Orca still the right alternative? We ran a 90-day side-by-side on the same multi-cloud production estate (1,400 AWS accounts, 220 Azure subscriptions, 8 GCP projects, mixed Kubernetes and serverless) and graded both platforms across the seven dimensions that actually move the needle for a security org.

How do Wiz and Orca compare at the architecture level?

Both platforms are agentless-first and both promise a full cloud risk profile within roughly 24 hours of connection. Both ship CSPM, CWPP, CIEM, DSPM, and AI-SPM in a single console. The architectural difference is real but smaller than the marketing suggests.

| Dimension | Wiz | Orca | |---|---|---| | Workload read | Snapshot-based agentless scan | SideScanning (snapshot + memory) | | Correlation primitive | Security Graph | Risk Graph | | Native clouds | AWS, Azure, GCP, OCI, Alibaba, vSphere | AWS, Azure, GCP | | Kubernetes | EKS, GKE, AKS, OpenShift | EKS, GKE, AKS | | Time to first risk view | 4 hours | 1 hour | | IDE plugins | JetBrains, VS Code | None | | 2026 acquirer | Google ($32B, Mar 2026) | Independent |

Orca's SideScanning is more thorough at the memory layer — it can identify in-memory secrets and running processes — while Wiz's Security Graph is the more polished UX for tracing attack paths. The multi-cloud gap is real and matters if you run anything on OCI, Alibaba Cloud, or vSphere — Wiz covers them, Orca does not.

Which platform produced fewer false positives?

We tracked every "critical" finding flagged by each platform for 90 days and reviewed them with the cloud team to determine whether they represented a real attack path. Findings were judged in five buckets: real and exploitable, real but unreachable, real but accepted by policy, false positive (rule logic error), and false positive (stale data).

| Bucket | Wiz | Orca | |---|---|---| | Real and exploitable | 81 (31%) | 73 (24%) | | Real but unreachable | 92 (35%) | 119 (40%) | | Real but accepted by policy | 38 (14%) | 47 (16%) | | False positive (rule logic) | 31 (12%) | 41 (14%) | | False positive (stale data) | 22 (8%) | 19 (6%) | | Total criticals over 90 days | 264 | 299 |

Both platforms over-report at the "critical" tier, which is the universal CNAPP complaint. Wiz wins on attack-path quality — when Wiz says critical, it actually correlates to an exploitable path 31% of the time versus Orca's 24%. Orca finds more total findings (it has slightly better memory-layer visibility) but its prioritization is noisier. Neither platform delivers the marketing promise of "the 1% that matters" without significant tuning.

How well does each platform handle attack-path correlation?

We seeded both platforms with a deliberate multi-step attack path — an over-privileged Lambda role, a public S3 bucket, an EC2 with an unpatched runc, and a shared KMS key — and asked each platform to surface the chain. Wiz returned a single attack-path card that walked all four steps in order, with a "blast radius" preview showing 47 downstream resources. Orca returned three separate findings that, when expanded, included links to each other; the chain is reconstructable but the user does the work. The Security Graph is genuinely the better experience for attack-path investigation. For routine misconfiguration triage, both are fine.

Did the Google acquisition change Wiz?

Six weeks of post-close data is not enough to be definitive, but the early read is "no major product change yet." Google has publicly committed to maintaining multi-cloud support — including AWS, Azure, OCI — and the engineering team remains a separate organization within Google Cloud. The realistic risk to plan for is procurement: if you are an AWS-heavy buyer, your account team's incentives have shifted, and some customers report longer renewal cycles as Google legal becomes involved. The realistic upside is integration: Wiz already had a strong Google Cloud story; expect deeper Chronicle and Mandiant Threat Intelligence integration on the 6-12 month horizon.

What is the honest pricing picture in 2026?

Vendr procurement data suggests Wiz median annual contracts land near $149,000 and Orca near $96,000. Both have wide ranges — we have seen Wiz contracts under $40k and over $700k, and Orca contracts from $25k to roughly $400k. The pricing model is workload-count-based for both, with rough parity per workload at smaller scales and Wiz pricing roughly 25-35% higher at the largest tiers. Orca's enterprise pitch is "same outcome, 35% less" and the data mostly bears it out — Orca tends to lose deals on the strength of Wiz's brand and graph, not on the value math.

# Internal procurement scorecard we used (weights tuned per org)
criteria:
  attack_path_correlation:  weight: 0.20   # Wiz wins
  multi_cloud_coverage:     weight: 0.15   # Wiz wins (OCI, Alibaba)
  false_positive_rate:      weight: 0.15   # Wiz slight edge
  time_to_first_value:      weight: 0.10   # Orca wins
  ide_shift_left:           weight: 0.10   # Wiz wins
  total_cost:               weight: 0.20   # Orca wins
  acquisition_risk:         weight: 0.10   # Orca wins

What does a credible 90-day evaluation actually involve?

A real bake-off is more work than most procurement teams budget for. The minimum we recommend: 30 days of read-only deployment on the actual production estate (not a sandbox), with both tools' findings exported to a neutral spreadsheet and tagged with severity, exploitability, and resolution path. 30 more days of hands-on triage with the security team rotating ownership weekly so multiple operators have lived with each console. 30 days of integration testing — both tools' webhooks into the SIEM, both tools' Slack alerts, both tools' Jira-ticket creation. The work that gets skipped most often and costs the most later: validating the API surface against your existing automation (Wiz and Orca both have APIs; both APIs have rate limits and quirks that will surprise you during a scripted rollout six months in).

How Safeguard Helps

Safeguard sits below the CNAPP layer, not next to it. Both Wiz and Orca focus on cloud configuration and runtime posture; neither one is the source of truth for software supply chain. Safeguard ingests CNAPP findings — Wiz Security Graph relationships and Orca SideScanning vulnerabilities — and correlates them with the SBOM ledger for every running workload. When Wiz flags a public-facing EC2 as critical, Safeguard answers the next question automatically: which CVEs in this workload's SBOM are reachable from the exposed surface, and what are the AI-prioritized fixes. Griffin AI takes the union of CNAPP attack paths and supply-chain reachability data and produces one ranked queue, so your security team is not deciding between the CNAPP dashboard and the SCA dashboard each morning. CNAPPs tell you where the cloud is broken; Safeguard tells you which broken piece will actually get exploited first.

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