Orca and Wiz both popularized the agentless model that now defines modern CNAPP, and they continue to share more architectural DNA than either marketing team likes to admit. The differences in 2026 are in execution and ecosystem rather than in fundamental approach. Both products use snapshot-based scanning to build a comprehensive asset inventory without agents, both build graph-based representations of cloud risk, and both have added runtime sensors to fill the obvious gap that pure agentless approaches leave behind.
Where the products diverge is in priorities, polish, and pricing. We have spent considerable time with both platforms over the past year, including a structured eight-week bake-off in a large AWS and Azure environment. The verdict is more nuanced than either vendor's competitive talking points suggest, and several of our findings ran contrary to the conventional wisdom.
How do the side-scanning technologies compare?
Orca's SideScanning is the older and more mature implementation of the snapshot-based approach. Coverage of file system contents, package inventory, and configuration data inside virtual machines remains slightly more comprehensive than Wiz's equivalent, and the technology handles edge cases like encrypted volumes and unusual file systems more gracefully. In our test environment, Orca produced a complete asset inventory in 3-5 hours per AWS account; Wiz averaged 4-7 hours.
The accuracy delta on vulnerability detection inside snapshots is small but consistent in Orca's favor for Linux workloads, particularly on package-level findings in older distributions. For Windows workloads the gap inverts and Wiz produces marginally cleaner output. For container images stored in ECR, ACR, or GCR, both products produce comparable findings with similar latency. The raw scanning technology is close enough that buyers should not let it alone drive the decision, but Orca's slight edge on Linux depth matters for specific workload profiles.
What about the security graph?
This is the dimension where Wiz has pulled ahead, and the gap is larger in 2026 than it was a year ago. Wiz's graph is denser, the query language is more expressive, and the latency on complex queries is meaningfully better at large scale. For investigative workflows that span vulnerabilities, IAM, network paths, and secrets, Wiz produces complete chains of impact in less time and with less manual correlation.
Orca's graph is real and useful but the experience is closer to a powerful inventory than to a true investigative graph. The relationships exist, but expressing complex multi-hop queries requires more clicks and produces noisier output. For organizations whose primary use case is incident investigation, Wiz's graph remains the more capable tool. For organizations whose primary use case is broad posture management and compliance reporting, the gap closes substantially because the daily workflows do not exercise graph capabilities as deeply.
How does runtime coverage compare?
Both products added runtime sensors after building agentless platforms, and both implementations are still maturing. Orca's runtime offering, expanded significantly through 2025, now covers process-level visibility for Linux workloads with reasonable depth, and the integration with the SideScanning inventory produces useful correlation between static findings and runtime behavior. Coverage for Windows workloads is thinner and the eBPF-based instrumentation has more rough edges than equivalent specialist tools.
Wiz's runtime sensor follows a similar trajectory with a similar level of maturity. Neither product matches Sysdig or CrowdStrike on raw runtime depth, but both produce signal that is useful when correlated with their respective graphs. For organizations that need deep runtime forensics, both products require supplementing with a specialist runtime tool. For organizations whose runtime requirements are "detect obvious anomalies and tie them to context," either Orca or Wiz is sufficient.
What is the deployment and operations experience like?
This is where Wiz has built a real lead. Onboarding new cloud accounts in Wiz takes 30-45 minutes and the initial inventory is populated within a few hours. Orca's onboarding is slightly slower at 45-60 minutes per account, and the initial scan completion takes longer for large environments. For organizations with hundreds of accounts, the cumulative time difference is meaningful.
The day-two operations experience favors Wiz as well. The console performance is faster at scale, the search experience is more responsive, and the documentation quality is consistently better. Orca's product is competent but the polish gap shows in everyday workflows. We measured average task completion times across a standard set of triage and investigation workflows, and Wiz was 20-35% faster across most tasks. The difference is not enormous on any single workflow but compounds across a security team's daily operations.
How is pricing trending and where does it land?
Orca has become aggressive on pricing through 2025 and into 2026, with deals consistently 15-30% below Wiz on equivalent scope. For organizations where Wiz is technically preferred but budget is the binding constraint, Orca often wins on the total cost story. Both vendors discount substantially in competitive deals, with 30-40% off list achievable when both are at the table.
The TCO comparison should include operational efficiency, not just license cost. Wiz's faster workflows and better polish translate to lower analyst time per finding, which has a real dollar cost for security teams. For a small security team running a large cloud estate, the operational efficiency advantage can justify Wiz's price premium. For a larger security team with capacity to absorb slightly more friction, Orca's lower license cost flows more directly to bottom-line savings. Model both dimensions before committing to a multi-year deal.
How Safeguard Helps
Safeguard adds software supply chain context that neither Orca nor Wiz produces at the depth modern programs require. Griffin AI consumes SBOMs from every container image your CNAPP discovers and correlates package-level CVEs with reachability, cloud exposure context pulled from your security graph, and KEV signal, producing a focused queue of issues that warrant immediate action. Policy gates enforce zero-CVE base images in CI, blocking issues before they reach the cloud estate your CNAPP monitors. TPRM scoring extends the supply chain lens to your vendor stack, providing visibility into third-party software risks that agentless cloud scanners cannot reach.