Cloud security teams in 2026 are stuck choosing between three platforms that all claim to see everything running in AWS, Azure, and Google Cloud, yet price, deploy, and integrate in almost incompatible ways. Wiz, now owned by Google after a $32 billion all-cash deal that closed March 11, 2026, is the default shortlist entry for large enterprises. Orca Security keeps winning smaller and mid-market deals on the strength of a purely agentless model. Palo Alto Networks folded Prisma Cloud into a rebranded Cortex Cloud, betting that customers already inside its firewall and SOC ecosystem will pay for one more console rather than bolt on a fourth vendor.
None of that tells a security engineer which tool actually catches a misconfigured S3 bucket before an attacker does, or which one drowns a three-person cloud team in alert fatigue. This comparison pulls together pricing structures, G2 and Gartner review data, container and Kubernetes coverage, AI security features, and the acquisition news that’s reshaping the market, so you can pick based on what each platform does rather than what its sales deck says.
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What is CSPM and why the category is consolidating into CNAPP
Cloud security posture management started as a narrow job: scan cloud accounts for misconfigurations, like a public storage bucket or an overly permissive IAM role, and flag them against a compliance framework such as CIS Benchmarks or NIST SP 800-53. That standard on its own, published by NIST, still underpins most of the control catalogs these tools check against. By 2026, none of the three vendors in this piece ship a standalone CSPM tool anymore. Wiz, Orca, and Cortex Cloud have all folded posture management into a broader cloud-native application protection platform, or CNAPP, that also covers workload scanning, container and Kubernetes runtime security, identity risk, and increasingly, AI and agent security.
The keyword “cloud security posture management tools” still pulls around 2,400 monthly US searches, which tells you buyers are still framing the problem the old way even as vendors sell the newer, bundled version. That mismatch matters for anyone evaluating a purchase: if you search for a CSPM tool in 2026, you’re going to land on a CNAPP platform whether you meant to or not, and the pricing model reflects the bigger, bundled scope rather than a lean posture-only product.
The consolidation has a second driver. Cloud attack surfaces stopped being just infrastructure. Development teams now ship containers, serverless functions, and increasingly, AI agents with their own credentials and permissions. A posture tool that only checks VM configurations misses the exposure sitting in a misconfigured Kubernetes pod or an over-permissioned service account tied to an LLM pipeline. All three platforms in this comparison now market themselves around that expanded threat surface rather than the narrower CSPM label that built the category a decade ago.
Wiz, Orca Security, and Prisma Cloud/Cortex Cloud at a glance
Before the deep dive, here’s the short version. Wiz is the market-share leader with the deepest bench of Fortune 100 customers and the most name recognition, and it’s now a Google Cloud property. Orca Security is the agentless specialist that markets itself on faster deployment and a cleaner buying story for teams that don’t want agents on every workload. Palo Alto’s Cortex Cloud is the platform play for organizations already running Palo Alto firewalls, Cortex XSIAM, or other Palo Alto security tooling, offering the deepest integration at the cost of the most complex pricing.
Full specs comparison: Wiz vs Orca Security vs Cortex Cloud
The table below lines up the technical and commercial details that matter most when a security team is building a shortlist. Figures marked as third-party estimates come from buyer-reported data rather than official vendor rate cards, since none of the three vendors publish a public price list.
| Dimension | Wiz | Orca Security | Prisma Cloud / Cortex Cloud |
|---|---|---|---|
| Ownership status (2026) | Acquired by Google Cloud, deal closed March 11, 2026 | Independent, no acquisition announced | Owned by Palo Alto Networks; rebranded to Cortex Cloud starting Feb. 2025 |
| Scanning approach | Primarily agentless posture/exposure scanning, with expanding runtime modules | Agentless-first, explicitly markets no-agent deployment | Mixed: agentless posture plus agent-based CWPP/runtime via Compute Edition |
| Cloud providers supported | AWS, Azure, GCP | AWS, Azure, GCP | AWS, Azure, GCP |
| Container/Kubernetes coverage | Strong, bundled into core workload modules | Explicit coverage of VMs, containers, K8s pods, serverless, managed services | Deepest runtime depth via CWPP/Compute Edition heritage |
| Pricing model | Quote-only; third-party estimates cite modules like Wiz Defend, Wiz Code, AI-SPM scaled by cloud resource count | Single edition, quote-based, priced per compute asset/workload scanned | Credit-based annual contract; credits map to protected resources |
| Published starter pricing (third-party estimates) | ~$24,000/year for 100 workloads; ~$38,000/year for deeper tier (buyer-reported, not official) | Median buyer-reported spend ~$95,600–$100,000/year | Buyer-reported ~$300/credit CSPM, $540/credit CWPP, $640/credit full CNAPP (not official) |
| Median annual spend (third-party) | ~$111,500/year (buyer-reported) | ~$95,600–$100,000/year (buyer-reported) | Not separately published for Prisma/Cortex Cloud specifically |
| G2 rating (2026) | 4.7 / 5.0, 845 reviews | 4.7 / 5.0, 314 reviews | 4.5 / 5.0, 229 reviews (Cortex Cloud) |
| Analyst recognition | Cited by Google as trusted by 50% of the Fortune 100 | Named a Strong Performer among 14 cloud-security platforms by Forrester, early 2026 | Forrester TEI: 264% ROI, $6.9M NPV over 3 years for composite org |
| AI/agentic security features | Positioned by Google as a combined cloud-and-AI security platform | 2026 AI-related additions announced but feature depth not independently verified | Cortex Cloud tied to AI-powered SOC operations via Cortex XSIAM integration |
| Employee count / scale (2026, secondary reporting) | ~1,800 employees, reported ARR exceeding $1 billion at acquisition close | Self-reported ~365 employees, ~$110M annual revenue (unverified) | Not separately broken out; parent company Palo Alto Networks reports 3,861+ reviews across its Gartner footprint |
| Notable named customers | Shell, BMW, LVMH, Morgan Stanley, Mars, Salesforce, Takeda, Colgate-Palmolive, Aon (per Google’s announcement) | Not publicly broken out in primary sources for 2026 | Broad Palo Alto enterprise base; no distinct 2026 marquee list published for Cortex Cloud specifically |
| Free trial availability | Available via sales engagement, no public self-serve trial | Free trial offered, no permanent free tier | Available via sales engagement, no public self-serve trial |
Pricing breakdown: what each platform actually costs
None of the three vendors publish a public rate card, which is standard for enterprise security software but frustrating for anyone trying to budget before a sales call. The figures below come from buyer-reported data circulating through procurement benchmarking sources and vendor cost comparison sites, not official price lists, so treat them as directional rather than a quote you can hold a vendor to.
| Platform | Entry-level estimate | Mid-tier estimate | Buyer-reported median annual spend | Pricing unit |
|---|---|---|---|---|
| Wiz | ~$24,000/year (100 workloads) | ~$38,000/year (deeper module tier) | ~$111,500/year | Cloud resource count, bundled modules |
| Orca Security | Quote on request | Quote on request | ~$95,600–$100,000/year | Compute assets / average workloads scanned |
| Prisma Cloud / Cortex Cloud | ~$300/credit (CSPM only) | ~$540/credit (CWPP) to $640/credit (full CNAPP) | Not separately published | Cloud security credits mapped to protected resources |
The credit-based Cortex Cloud model is the hardest of the three to estimate before talking to sales, since a “credit” maps to different resource types depending on which modules you license. Reviewers on G2 have flagged this repeatedly, noting that Prisma/Cortex pricing tends to run higher for smaller organizations relative to the other two platforms. Orca’s per-workload model is more transparent on paper, but buyers still need a full cloud asset inventory before a quote means anything. Wiz’s module-based pricing, covering separate line items like Wiz Defend for runtime detection, Wiz Code for pipeline security, and AI-SPM for AI asset posture, means two companies with the same cloud footprint can pay wildly different amounts depending on which modules they license.
Agentless vs agent-based scanning: the core architectural split
The single biggest technical decision buried in this comparison is whether a platform reads your cloud environment through API snapshots (agentless) or needs something installed inside every workload (agent-based). Orca Security built its entire go-to-market around being agentless-first, scanning VM disks, container images, and serverless functions without deploying software inside them. That approach cuts deployment time from weeks to hours for teams onboarding a new cloud account, since there’s no fleet of agents to roll out, patch, or troubleshoot when a workload won’t boot with a sidecar attached.
Wiz uses a similar agentless approach for posture and exposure discovery, then layers in runtime modules like Wiz Defend for teams that want live detection rather than periodic snapshots. Cortex Cloud sits at the other end of the spectrum: its Compute Edition and CWPP lineage trace back to Prisma Cloud’s original agent-based runtime protection, which still gives it the deepest process-level visibility into what’s actually executing inside a container or VM at any given moment, at the cost of needing an agent deployed and maintained across the fleet.
The practical tradeoff: agentless scanning is faster to deploy and lower-friction for DevOps teams that resist anything touching production workloads, but it typically works on a scan cycle measured in minutes to hours rather than continuous. Agent-based runtime protection catches in-memory attacks and live process anomalies that a periodic snapshot will miss entirely, but it means more moving parts to manage and more chances for an agent update to break something in production.
Container and Kubernetes security coverage
All three platforms cover containers and Kubernetes, but the depth differs. Orca’s pricing documentation explicitly lists VMs, containers, Kubernetes pods, serverless functions, and managed cloud services as separately priced workload types, which at least gives buyers a clear mental model of what counts as a billable unit. Wiz bundles container and workload coverage into its core platform positioning without breaking out Kubernetes as a separate line item in public materials, which security teams have flagged as harder to budget against ahead of a sales conversation.
Cortex Cloud carries forward Prisma Cloud’s Compute Edition, which has the longest track record of the three specifically for runtime container protection, including process-level monitoring inside running pods. For organizations running large, dynamic Kubernetes fleets with frequent pod churn, that runtime depth can matter more than deployment speed, since a static image scan alone won’t catch an attacker who compromises a pod after it’s already running.
AI and agentic security: the newest battleground
Every vendor in this space repositioned itself around AI security in 2026, and it’s worth separating marketing framing from shipped features. Google’s acquisition announcement for Wiz explicitly ties the deal to enterprise AI security needs, casting Wiz as a combined cloud-and-AI security platform rather than a pure CSPM vendor, a framing you can read directly in Google’s own announcement of the completed acquisition. Wiz’s AI-SPM module scans for exposed AI models, unsecured training data, and risky AI service configurations across cloud accounts.
Cortex Cloud leans on its connection to Cortex XSIAM, Palo Alto’s AI-driven SIEM and SOAR platform, to fold AI-powered detection and response into the same console used for cloud posture. Palo Alto has also rolled AI compliance visibility into its Falcon-adjacent Next-Gen SIEM tooling elsewhere in its portfolio, giving enterprise SOCs real-time visibility into AI tool usage across the business, not just inside cloud infrastructure. Orca announced AI-related additions in 2026 as well, though public documentation doesn’t yet give a detailed breakdown of feature scope, so it’s the platform with the least verifiable AI security depth of the three as of this writing.
The practical takeaway: if AI workload security (scanning for exposed models, unsecured vector databases, or risky agent permissions) is a near-term priority, Wiz and Cortex Cloud both have more publicly documented capability than Orca right now. That gap may close quickly given how fast all three vendors are shipping in this category, but it’s accurate as of September 2026.
The Google-Wiz acquisition: what it means for buyers
Google’s $32 billion all-cash acquisition of Wiz closed on March 11, 2026, making it one of the largest security acquisitions in the industry’s history. For existing Wiz customers running multi-cloud environments across AWS and Azure alongside Google Cloud, the immediate question is whether Google will keep Wiz genuinely multi-cloud or slowly steer feature development toward tighter GCP integration. Google’s public messaging has emphasized that Wiz will continue operating as a multi-cloud and on-prem security platform, and the deal rationale explicitly cites Wiz’s existing base, described as trusted by half the Fortune 100, as a reason to keep the product cloud-agnostic rather than narrow it to a Google-only tool.
For competitors, the acquisition changes the sales conversation. Orca and Palo Alto can now both pitch prospective customers on vendor independence, arguing that a security posture tool shouldn’t be owned by one of the three hyperscalers it’s supposed to be auditing without bias. Whether that argument lands with buyers depends heavily on how Google handles pricing and roadmap decisions over the next 12 to 18 months post-close.
Real-world use cases: which platform fits which team
Specs and pricing only tell part of the story. Here’s how the three platforms tend to fit specific organizational situations based on their deployment models and customer bases.
Large enterprise with 50+ cloud accounts across three providers: Wiz’s scale and Fortune 100 customer base, including names like Morgan Stanley, Shell, and BMW cited directly in Google’s acquisition announcement, make it the platform with the most proven track record at this size. Its agentless-first approach also means faster time-to-value across a sprawling multi-account environment where deploying agents everywhere would take months.
Mid-market company standardizing on a lean cloud security stack: Orca’s per-workload pricing and agentless deployment tend to suit teams around 200-2,000 employees that want cloud posture visibility without hiring a dedicated platform engineering function to manage agent rollouts. The lower buyer-reported median spend, around $95,600 to $100,000 a year versus Wiz’s roughly $111,500, also matters more at this scale.
Organization already running Palo Alto firewalls and Cortex XSIAM: Cortex Cloud is the obvious fit here, since the integration with existing Palo Alto SOC tooling means cloud posture alerts land in the same console analysts already use for network and endpoint detection. The credit-based pricing is harder to estimate up front, but the operational simplification of one fewer console can outweigh that for security teams already deep in the Palo Alto ecosystem.
Regulated industry needing runtime container protection: Financial services and healthcare organizations running dynamic Kubernetes workloads with strict audit requirements tend to lean toward Cortex Cloud’s Compute Edition heritage, since agent-based runtime monitoring gives auditors a clearer story about live process visibility than a periodic agentless scan.
Startup or scale-up building AI products on cloud infrastructure: Given the documented AI-SPM depth in both Wiz and Cortex Cloud, teams shipping LLM-based products with exposed model endpoints, vector databases, or agent frameworks should weight AI asset scanning more heavily than raw pricing when comparing the two.
Company recently acquired or in an M&A integration: Fast onboarding of newly acquired cloud accounts favors Orca or Wiz’s agentless model, since there’s no agent rollout blocking a security assessment of the newly absorbed infrastructure in the first 90 days post-close.
Migration guide: moving from one CSPM/CNAPP platform to another
Switching cloud security platforms mid-contract is disruptive but manageable with the right sequencing. Security teams migrating between Wiz, Orca, and Cortex Cloud in 2026 generally follow a version of this process.
- Run the new platform in parallel with the existing tool for at least 30 days before decommissioning anything, since posture baselines need time to stabilize and false-positive rates differ meaningfully between agentless and agent-based scanners.
- Export your current tool’s full finding history and compliance mapping (CIS Benchmarks, NIST controls, whatever framework you report against) before cutover, since historical trend data rarely transfers between vendors.
- Inventory every integration point: SIEM forwarding, ticketing system webhooks (Jira, ServiceNow), Slack or Teams alert channels, and CI/CD pipeline gates that block deployments on policy violations.
- If moving to or from an agent-based model (most commonly, migrating onto or off Cortex Cloud’s Compute Edition), budget separate time for agent deployment and removal testing in a staging environment first, since agent conflicts with existing endpoint tooling are a common failure mode.
- Re-map custom policies and exceptions. Every platform has its own policy-as-code syntax, and organizations with heavily customized rule sets should expect this step to take longer than the vendor’s sales team estimates.
- Re-train the SOC and cloud engineering teams on the new console’s alert triage workflow before the old tool is switched off, since alert fatigue spikes noticeably in the first two weeks after any CNAPP migration.
- Negotiate an overlap period in the new contract that covers the parallel-run window, since most vendors will accommodate a 30-to-60-day overlap if asked during the sales cycle rather than after signing.
Teams that skip the parallel-run step are the most common source of migration complaints in G2 and Gartner Peer Insights reviews, typically showing up as either a spike in missed findings during the cutover window or a flood of duplicate alerts from both systems running simultaneously without proper alert suppression rules in place.
Wiz: pros and cons
Wiz’s strongest argument is scale and proof: a 4.7 out of 5 rating across 845 G2 reviews and a customer list that reads like a Fortune 100 roster gives buyers more third-party validation than either competitor can currently match. The tradeoff is pricing opacity. Wiz has no public list price, and third-party estimates for entry-level deployments range from roughly $24,000 to $38,000 a year depending on workload count and module selection, figures that come from buyer-reported procurement data rather than an official rate card.
- Pro: Largest verified enterprise customer base of the three platforms compared here
- Pro: Fast agentless deployment across large multi-cloud estates
- Pro: Documented AI-SPM module for scanning exposed AI assets
- Con: No public pricing; module-based licensing makes budget forecasting difficult before a sales call
- Con: Now owned by Google, raising vendor-neutrality questions for heavy AWS/Azure shops
Orca Security: pros and cons
Orca’s pitch is simplicity: a single pricing edition, an agentless-first architecture, and a Forrester “Strong Performer” placement among 14 cloud security platforms in early 2026. Its buyer-reported median spend of roughly $95,600 to $100,000 a year sits below Wiz’s, which matters for mid-market teams watching budget closely.
- Pro: Clearest, most explicit workload-based pricing unit of the three (VMs, containers, K8s pods, serverless, managed services all separately defined)
- Pro: Fully agentless architecture, fastest typical time-to-first-scan
- Pro: Independent ownership, no hyperscaler conflict-of-interest question
- Con: Smallest verified customer scale of the three, with fewer public case studies
- Con: Least documented AI security feature depth as of 2026
Prisma Cloud / Cortex Cloud: pros and cons
Cortex Cloud’s case rests on integration depth. Palo Alto’s Forrester Total Economic Impact study found a composite organization achieved a 264% ROI and $6.9 million net present value over three years, largely by consolidating tools rather than from CNAPP capability alone. That’s a meaningfully different value proposition than Wiz or Orca, which sell on cloud visibility first.
- Pro: Deepest native integration with Cortex XSIAM and the broader Palo Alto SOC stack
- Pro: Only platform of the three with a mature agent-based runtime protection heritage (Compute Edition)
- Pro: Forrester-validated ROI study with published figures
- Con: Credit-based pricing is the hardest of the three to estimate without a sales engagement
- Con: G2 reviewers flag pricing as comparatively high for smaller organizations
Benchmarks and analyst data: how the three stack up
Independent, controlled benchmarks comparing CNAPP platforms head-to-head are rare in this category, since detection performance depends heavily on each customer’s specific cloud configuration. The most reliable comparative signals available in 2026 come from review aggregation and analyst placement rather than lab testing.
| Metric | Wiz | Orca Security | Cortex Cloud |
|---|---|---|---|
| G2 rating | 4.7 / 5.0 | 4.7 / 5.0 | 4.5 / 5.0 |
| G2 review count | 845 | 314 | 229 |
| Forrester recognition | Not separately cited in 2026 Forrester Wave data gathered here | Strong Performer, 14-platform field, early 2026 | Forrester TEI: 264% ROI, $6.9M NPV over 3 years |
| Reported ARR/revenue scale | >$1B ARR at acquisition close (secondary reporting) | ~$110M annual revenue (self-reported, unverified) | Not broken out separately from parent Palo Alto Networks |
The gap in review volume between Wiz’s 845 and Cortex Cloud’s 229 partly reflects how long each product has existed under its current name. Cortex Cloud only launched under that branding in February 2025, meaning many long-tenured Prisma Cloud reviews likely sit under a different product page and aren’t reflected in the Cortex Cloud-specific count. Buyers should weigh that context rather than reading the raw review counts as a pure market-share signal.
Compliance and framework support
All three platforms map findings against standard frameworks including CIS Benchmarks, PCI DSS, HIPAA, SOC 2, and NIST SP 800-53, the control catalog NIST updated most recently in its Revision 5 release. Security teams working in regulated industries should confirm framework coverage during a proof-of-concept rather than assuming parity, since custom control mappings for less common frameworks (state-level privacy laws, industry-specific standards) vary in depth between vendors and can require professional services engagement to build out properly.
For organizations that already use a dedicated GRC platform for compliance evidence collection, such as the tools compared in our Vanta vs Drata vs Secureframe breakdown, the CNAPP platform’s compliance mapping typically serves as a raw data feed into the GRC tool rather than a replacement for it. None of the three vendors compared here position themselves as a full audit-evidence platform on their own.
Where CSPM/CNAPP fits in the broader security stack
None of these three platforms operate in isolation. Cloud posture data typically feeds into a SIEM or XDR platform for correlation with endpoint and network telemetry, which is why the Cortex Cloud-to-Cortex XSIAM pipeline is such a strong selling point for existing Palo Alto customers. Organizations comparing broader endpoint detection platforms alongside their cloud security purchase may find our CrowdStrike Falcon vs Cortex XDR vs Defender XDR comparison useful context, since the XDR layer and the CNAPP layer increasingly need to share data for a coherent detection story.
Vulnerability management is the other adjacent category worth considering alongside a CNAPP purchase. Cloud posture tools catch misconfigurations, but they don’t replace a dedicated vulnerability scanner for patch-level CVE tracking across your fleet, a distinction covered in our Tenable vs Qualys vs Rapid7 comparison. Teams building a full cloud security program in 2026 typically run a CNAPP platform, a dedicated vulnerability scanner, and a web application firewall like the ones compared in our Cloudflare WAF vs AWS WAF vs Imperva breakdown as three separate but integrated layers, since no single vendor in this space claims to fully replace the other two categories.
Third-party risk visibility is a related but distinct concern from cloud posture, since none of the three platforms compared here score external vendor risk. Organizations tracking supply-chain security exposure alongside their own cloud footprint may want to also review our BitSight vs SecurityScorecard vs UpGuard comparison for that separate piece of the puzzle.
Company backgrounds: three very different paths to the same market
The three companies behind these platforms arrived at CNAPP from different starting points, and that history still shapes how each product behaves. Wiz was founded in 2020 by a team of former Microsoft and Israeli intelligence veterans who had previously built and sold Adallom to Microsoft, and the company grew faster than almost any enterprise security startup in history before Google’s acquisition closed. That speed-to-scale culture still shows up in how quickly Wiz ships new modules, sometimes faster than its documentation and public pricing pages can keep up with.
Orca Security was founded in 2019 around a specific technical bet: that agentless, API-based scanning (what Orca calls SideScanning) could match agent-based coverage without the operational overhead. That founding thesis is still the company’s entire identity in 2026, and it’s why Orca resists adding agent-based modules even as competitors push runtime protection as a differentiator. The tradeoff is a narrower total addressable market among security teams who specifically want agent-level, in-memory detection.
Palo Alto Networks’ Cortex Cloud has the longest lineage of the three, tracing back through Prisma Cloud’s original 2018-era acquisitions of RedLock and Twistlock, both of which brought agent-based workload protection technology into Palo Alto’s portfolio years before “CNAPP” was a recognized category. That inherited depth is exactly why Cortex Cloud still leads on runtime container protection, but it also means the product carries more architectural legacy than either of its newer competitors, which shows up as more complex configuration options during initial setup.
Identity and data security posture: the next expansion point
Cloud identity risk has become the fourth pillar all three platforms are racing to build out, alongside posture, workload, and AI security. Overly permissive IAM roles and unused service account permissions remain one of the most common paths attackers use to escalate privilege once they’ve gained an initial foothold in a cloud account, and all three vendors now ship some form of cloud infrastructure entitlement management (CIEM) capability to flag that risk.
Data security posture management (DSPM), which scans cloud storage and databases for sensitive data exposure rather than just infrastructure misconfiguration, is the newer and less mature capability across the category. Wiz has marketed DSPM features tied to its broader platform since 2023, giving it the longest track record among the three. Cortex Cloud’s DSPM capability is newer and leans on Palo Alto’s existing data classification technology from its broader security portfolio. Orca has historically framed data exposure discovery as part of its core agentless scanning rather than as a distinct DSPM product line, which means the feature exists but isn’t marketed with the same standalone emphasis as the other two vendors.
For security teams handling regulated data, like healthcare records or payment card information, DSPM maturity is worth testing directly during a proof-of-concept rather than trusting vendor marketing pages, since false negatives on sensitive data discovery are far more costly than false positives on a misconfigured security group.
Deployment timeline: what to expect
Time-to-first-value differs meaningfully across the three platforms based on their architectural approach. Agentless platforms like Orca and Wiz’s posture module typically deliver an initial cloud account scan within hours of connecting API credentials, since there’s no software to deploy inside workloads first. A full multi-account, multi-cloud rollout across a large enterprise still takes several weeks, mostly spent tuning policy exceptions and integrating alert routing rather than waiting on the scan itself.
Cortex Cloud’s timeline runs longer when the Compute Edition agent-based runtime module is included, since agent deployment across a large Kubernetes fleet requires staged rollout and validation to avoid disrupting production workloads. Organizations that only license the posture/CSPM layer of Cortex Cloud without the runtime agent see a deployment timeline closer to the agentless competitors.
// Example: typical agentless CNAPP onboarding sequence
1. Grant read-only cloud API role (AWS IAM role, Azure service principal, or GCP service account)
2. Platform runs initial full-environment scan (minutes to hours depending on account size)
3. Baseline findings reviewed and triaged against compliance framework
4. Policy exceptions documented for accepted-risk configurations
5. Alert routing configured to SIEM/ticketing system
6. Continuous scan cadence established (typically every 4-12 hours for agentless platforms)Common deployment mistakes to avoid
Security teams evaluating any of these three platforms tend to repeat a handful of avoidable mistakes during rollout. The most common is connecting every cloud account on day one without a phased plan, which floods the security team with thousands of findings before anyone has built triage capacity, leading to alert fatigue that undermines confidence in the tool within the first month. A better approach is onboarding production accounts first, tuning policy exceptions there, then expanding to staging and development environments once the triage workflow is proven.
The second common mistake is failing to map findings to an owner before go-live. Cloud misconfigurations are often owned by application teams rather than the central security function, and platforms that don’t route findings to the right engineering team quickly become a security-team-only tool that never actually gets fixed at the source. All three vendors support integration with ticketing systems for this reason, but the integration has to be configured deliberately rather than assumed to work out of the box.
The verdict: which platform wins in 2026
There’s no single winner across all three platforms, because they’re built for different buyers. Based on the data gathered here, Wiz remains the strongest choice for large, multi-cloud enterprises that want the deepest bench of proven deployments and the broadest AI security feature set, provided the Google ownership question doesn’t create a dealbreaker for your procurement policy. Its 845 G2 reviews at a 4.7 rating and a customer roster that includes Shell, Morgan Stanley, and BMW represent the most third-party-verified track record of the three.
Orca Security is the better fit for mid-market organizations that want a straightforward, agentless deployment and a lower buyer-reported median spend, around $95,600 to $100,000 a year versus Wiz’s roughly $111,500, without needing Wiz’s full enterprise feature depth. Its Forrester Strong Performer placement backs up the review data rather than relying on customer logos alone.
Cortex Cloud is the right call specifically for organizations already committed to the Palo Alto ecosystem, where the Forrester-validated 264% ROI comes largely from consolidating tools rather than superior cloud visibility on its own. Teams that need mature agent-based runtime protection for large, dynamic Kubernetes fleets should also weight Cortex Cloud’s Compute Edition heritage more heavily than the other two platforms’ primarily agentless approaches. Outside of those two specific conditions, either Wiz or Orca is likely the stronger standalone choice for most cloud security teams evaluating a purchase in late 2026.
Frequently asked questions
Is Wiz still a separate product after the Google acquisition?
Yes. Google completed its $32 billion acquisition of Wiz on March 11, 2026, and has publicly stated Wiz will continue operating as a multi-cloud security platform supporting AWS, Azure, and GCP rather than becoming a Google Cloud-exclusive tool.
What’s the difference between CSPM and CNAPP?
CSPM originally referred narrowly to scanning cloud accounts for misconfigurations against compliance frameworks. CNAPP is the broader, current category that bundles CSPM with workload protection, container/Kubernetes security, and increasingly AI asset scanning, which is what all three platforms in this comparison now sell.
Which platform is cheapest for a small cloud footprint?
Based on buyer-reported figures, Orca Security’s median spend of roughly $95,600 to $100,000 a year runs below Wiz’s roughly $111,500 median, though actual pricing depends heavily on workload count and module selection in both cases, and neither vendor publishes an official rate card.
Do these platforms require agents on every server?
Orca Security is fully agentless. Wiz is primarily agentless for posture scanning, with optional runtime modules like Wiz Defend for teams that want live detection. Cortex Cloud offers both an agentless posture layer and an agent-based Compute Edition for deeper runtime protection.
Can I run more than one of these platforms at once?
Technically yes, and some organizations do run two tools during a migration window or in a multi-cloud environment where different business units standardized on different vendors. In practice, running two full CNAPP platforms long-term usually creates duplicate alerting and wastes budget, so most security teams consolidate to one platform once the evaluation period ends.
Which platform has the best AI security features?
Based on publicly documented features as of 2026, Wiz’s AI-SPM module and Cortex Cloud’s integration with Cortex XSIAM’s AI-powered SOC operations both have more verifiable AI security depth than Orca’s 2026 AI-related additions, which haven’t been detailed in public documentation yet.
How long does a full migration between platforms typically take?
Most security teams budget a 30-to-60-day parallel-run period where the old and new platforms operate simultaneously, followed by a cutover once policy exceptions, alert routing, and team training are complete. Migrations involving Cortex Cloud’s agent-based Compute Edition typically take longer due to staged agent rollout requirements.
Do any of these platforms offer a free tier?
None of the three offers a permanent free tier. Orca Security offers a free trial period. Wiz and Cortex Cloud are both available for evaluation through a sales engagement rather than self-serve signup.
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