Cloud Security Compare

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Risk prioritization in CNAPPs: how nine vendors decide what to fix first

Cloud Security Compare editors · · Editorial assessment

The short version

Wiz leads our risk prioritization criterion at 4.9, followed by Orca Security at 4.8 and Upwind at 4.5. The vendors reach a ranking in four different ways: graphs of attack paths, exploit validation, runtime context about what actually runs, and threat intelligence about what attackers use. The approach matters less than whether your team would act on the top ten findings each product shows.

What does our risk criterion measure?

Risk prioritization and attack paths carries 18% of our weight, level with agentless coverage as the heaviest criterion. It scores how findings from posture, workloads, identities and data are correlated into exploitable paths and ranked, so a team fixes the few things that matter. The inputs are explained in our lesson How CNAPPs rank risk; this note compares what each vendor describes.

What each vendor lists for risk prioritization, from its own pages, reviewed September 2026. Scores are our editorial assessment, 0 to 5.
VendorRisk scoreWhat the vendor lists
Wiz4.9Security Graph linking infrastructure, identities, data and AI resources into attack paths
Orca Security4.8Dynamic risk scoring and attack path analysis on one data model built from agentless context
Upwind4.5Static findings correlated with runtime context for attack path and exposure analysis; Upwind claims 93% noise reduction
Palo Alto Networks Cortex Cloud (formerly Prisma Cloud)4.4SmartScore and SmartGrouping rank findings by exposure; attack path analysis across identities and data
SentinelOne Singularity Cloud4.3Offensive Security Engine checks which exposures are exploitable and shows Verified Exploit Paths
CrowdStrike Falcon Cloud Security4.2Posture findings enriched with adversary intelligence; Cloud Risk Engine announced in March 2026
Sysdig Secure4.1Runtime insight into packages in use filters out vulnerabilities in code that never runs
Microsoft Defender for Cloud3.9Attack path analysis, cloud security explorer and internet exposure analysis in the paid Defender CSPM plan
Aqua Security3.9Vulnerabilities ranked by reachability, EPSS scores and evidence of active exploitation

How do graph-based approaches work?

Wiz (4.9) and Orca Security (4.8) both build a model of the estate and search it for paths. Wiz's Security Graph links infrastructure, identities, data and AI resources, and it is the design most rivals get compared against. Orca runs dynamic risk scoring and attack path analysis on a single data model built from its agentless SideScanning, which reads workload storage and so sees installed packages without an agent. Palo Alto Networks Cortex Cloud (4.4) ranks findings with SmartScore and SmartGrouping and runs attack path analysis across identities and data. Microsoft Defender for Cloud (3.9) offers attack path analysis and a cloud security explorer, but only in the paid Defender CSPM plan, not in the free Foundational CSPM tier.

What does exploit validation add?

SentinelOne Singularity Cloud (4.3) takes a different route. Its Offensive Security Engine checks which exposures can actually be exploited and presents the result as Verified Exploit Paths. Instead of inferring that a path is dangerous from its parts, it tests it. That answers the question engineers ask first, whether a finding is real. Ask which exposures the engine tests and how often, since that decides what the verified list can include.

How does runtime context change the ranking?

Upwind (4.5) and Sysdig Secure (4.1) use what their sensors see to re-rank static findings. Upwind correlates posture and vulnerability findings with runtime context for attack path and exposure analysis, and claims 93% noise reduction; that figure is Upwind's own. Sysdig uses runtime insight into which packages are in use to filter out vulnerabilities in code that never runs. The Orca Sensor also shows which vulnerable packages are executed. The trade-off is that runtime context exists only where a sensor runs, so the re-ranking is strongest on the workloads you have instrumented.

What do threat intelligence and exploit data add?

CrowdStrike Falcon Cloud Security (4.2) enriches posture findings with CrowdStrike's adversary intelligence, and on 24 March 2026 announced a Cloud Risk Engine that maps cloud risks to adversary tradecraft. Aqua Security (3.9) ranks vulnerabilities by reachability, EPSS scores and evidence of active exploitation. Both bring in information from outside your estate about what attackers are likely to use, which helps break ties between findings that look equally severe.

How should you compare two products on this criterion?

  • Give both products the same accounts and export each one's ten highest-priority findings.
  • For each item, ask whether it is real, whether it is reachable and whether your team would fix it this week, and count the yes answers.
  • Read the explanation behind each ranking: a path or a verified exploit is easier to act on than a number.
  • Check which plan includes the prioritization features you tested. At Defender for Cloud, attack path analysis is in Defender CSPM.
  • Ask how the ranking changes where a sensor is present, and how it behaves where one is not.

The two leaders on this criterion meet in Wiz vs Orca, 4.9 against 4.8.

Sources

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