For headless Shopify builds, start with the posture tooling your cloud provider already includes, AWS Security Hub or Microsoft Defender for Cloud. Add Aikido Security when the storefront engineers also own the infrastructure, and Orca, Sysdig or Wiz once the estate spans multiple accounts and teams.
A cloud security dashboard showing everything green is telling you the truth about the accounts you remembered to connect. The service nobody put on the diagram is the one that matters.
A headless storefront is rarely one thing. It is a frontend on a content delivery network, a commerce backend you did not build, a search service, a middleware layer reconciling inventory, and a nightly job pushing order data somewhere for finance. Five of those six may be somebody else’s responsibility. The sixth is yours, and it is usually the one nobody put on the diagram.
This list is for Shopify merchants running headless or custom storefront infrastructure, roughly $2M to $50M in annual revenue, where the team operates at least one cloud account of its own. If every part of your store runs inside Shopify’s hosted theme stack, this is the wrong article and the Shopify layer security apps roundup is the right one. The six tools below are listed alphabetically. The order carries no ranking, and this piece does not name a winner.
The reason to start with ownership rather than tooling is that a cloud security tool can only see the accounts you connect it to. AWS describes the split in its shared responsibility model: AWS secures the infrastructure, and you secure the guest operating system, the applications and the permissions you run on top of it. Shopify draws a similar line on its side, holding Level 1 PCI DSS certification for the platform while your own services sit outside that boundary. A tool reporting a clean posture across two connected accounts is telling you the truth about two accounts. It is silent about the integration service a contractor spun up in a third.
Every tool on this list meets four criteria, applied the same way to each one. It assesses cloud infrastructure your own team operates rather than the managed SaaS products in your stack. It supports at least one of AWS, Azure or Google Cloud, which is where custom headless services usually run. It publishes documentation specific enough to check what it scans and what access it requires before you sign anything. And it covers at least one of three layers: configuration posture, workload vulnerability, or runtime behaviour. Where a vendor publishes pricing, it is quoted below with its date. Where a vendor does not, that is stated rather than estimated.
Two categories were considered and excluded. Shopify layer security apps, the Rewind and McAfee SECURE tier of tooling, were excluded because they protect store data and the storefront rather than the cloud account behind a custom build. Source code and dependency scanners that never connect to a running cloud account were excluded for the opposite reason: they catch the vulnerability before deploy and say nothing about the misconfigured bucket afterwards. Several tools here do both, and where they do, the cloud side is what earned the place.
These six tools cover headless commerce infrastructure at three different layers: provider native posture in AWS Security Hub and Microsoft Defender for Cloud, developer owned consolidation in Aikido Security, and estate scale platforms in Orca Security, Sysdig and Wiz. Pricing is as of October 2026, and where a vendor publishes no rates the cell says so rather than guessing.
Aikido Security is a developer first application and cloud security platform built for engineering teams that own both the code and the cloud account it runs in.
Aikido’s cloud posture management connects to AWS, Azure and Google Cloud through read only API access, with DigitalOcean among the other supported providers, and checks configuration for misconfigurations, over permissive IAM roles and compliance gaps. It sits alongside the rest of the Aikido platform: dependency scanning, static analysis, secrets detection, container image scanning, and infrastructure as code checks against Terraform, CloudFormation and Kubernetes manifests. Context aware scoring ranks production findings above staging. For a headless build, the feature that matters is the link between a cloud finding and the configuration code that produced it, because that is what lets one engineer close the loop without a handoff. AI AutoFix opens pull requests for container base image vulnerabilities, virtual machine CVEs and IaC misconfigurations, and compliance checks map to SOC 2 and ISO 27001 with sync to Vanta and Drata.
As of October 2026, Aikido’s published pricing runs a free Developer plan covering two users, ten repositories and one cloud account, then Basic at 300 per month for ten users and three cloud accounts, with Pro and Advanced both listed at 600 per month and differing on limits rather than price. Enterprise is quoted separately. The published prices exclude local taxes, and the plan table does not state a currency.
Two things stand out for a small platform team. The first is scope per seat: one Aikido Security subscription covers code, dependencies, containers, infrastructure as code and the cloud account, which for a three engineer team is the difference between one tool and four. The second is that the free Developer tier includes one cloud account with real cloud scanning rather than a time limited trial, so a headless build sitting in a single AWS account can be assessed honestly before any budget conversation starts.
The limitations are worth naming before a trial, not after. The cloud account limits bind early: three accounts on Basic is tight for a team already separating production, staging and a data warehouse account, and getting to ten accounts doubles the price. The second limitation is scope confusion rather than a product flaw. Connecting a cloud account tells you about infrastructure you operate and nothing about the managed SaaS services in your purchase journey. A merchant who reads a green Aikido Security dashboard as coverage of their search vendor, their subscription app or their ERP has misread it, and the product does not claim otherwise.
Best fit for headless Shopify builds between roughly $2M and $10M where one to five engineers maintain both the storefront code and the cloud account, and where nobody on the team is a full time security hire.
Skip if your custom services run across more than ten cloud accounts, if you need runtime detection on Kubernetes you operate yourself, or if you have a security function that already owns the cloud estate separately from the storefront team. At that point the per account limits and the developer centred workflow stop matching how the work is actually divided.
AWS Security Hub is Amazon’s own findings aggregation and posture service, and the default starting point for any headless build whose custom services already run in AWS.
AWS Security Hub collects and correlates findings from other AWS security services, including Amazon Inspector, Amazon GuardDuty, Amazon Macie and Security Hub CSPM, then presents them as a prioritised exposure view with attack path analysis across accounts and regions. It manages multiple accounts through AWS Organizations, aggregates findings across regions, and standardises data using the Open Cybersecurity Schema Framework so findings can route into Jira Cloud or ServiceNow. It also covers Microsoft Azure resources with posture checks against the CIS Azure Foundations Benchmark, and maintains an inventory of AI workloads across Amazon Bedrock, Amazon SageMaker and Bedrock AgentCore.
As of October 2026, Security Hub CSPM pricing is $0.0010 per security check for the first 100,000 checks a month, dropping to $0.0008 per check for the next 400,000, with Azure checks at $0.0012 for the first 100,000. Finding ingestion is free for the first 10,000 events a month and $0.00003 per event beyond that, and ingestion tied to Security Hub CSPM checks is not billed. A 30 day free trial covers the full feature set for each account in each enabled region.
The pricing model is the real strength. A headless build with a modest AWS footprint lands in low double digit dollars a month, and AWS Security Hub is the only option on this list where a merchant can estimate the bill before talking to anyone. The second strength is that there is nothing to deploy. The services feeding it are already in the account, so switching it on is a configuration change rather than a procurement cycle.
Coverage stops at the AWS boundary, with the Azure posture checks as a partial exception. A storefront on a managed hosting platform, a search service with a SaaS vendor and a data warehouse in Google Cloud are all invisible to it, which on a genuinely polyglot headless stack is most of the estate. The second limitation is that AWS Security Hub aggregates rather than scans, so its findings are only as good as the services generating them. Inspector, GuardDuty and Macie have to be enabled and paid for separately, and those line items are where the real cost sits. Keep application level testing in the plan as well: a coherent AWS posture view does not tell you whether a custom order API enforces the customer permissions you intended, which is the first item on the OWASP API Security Top 10.
Best fit for headless builds where the custom services, the middleware and the background jobs sit predominantly in AWS, at any revenue stage, and particularly for teams who want posture visibility without adding a vendor relationship.
Skip if your storefront infrastructure is spread across providers with no dominant one, or if you need a single view across AWS, Google Cloud and a managed Kubernetes platform. Assembling that from AWS Security Hub is possible and is more work than buying it.
Microsoft Defender for Cloud is Microsoft’s cloud native application protection platform, and the equivalent default for commerce teams whose infrastructure and identity already sit inside the Microsoft ecosystem.
Microsoft Defender for Cloud combines cloud security posture management, workload protection with threat detection and response, DevOps security intended to stop misconfigurations and secrets reaching production, AI workload protection, malware scanning for Azure Storage and code reachability analysis. Microsoft describes it as covering hybrid and multicloud environments without naming specific providers on the product page. It integrates with GitHub Advanced Security, Microsoft Defender XDR, Microsoft Sentinel and Security Copilot, and that integration surface is the real argument for it. If the commerce team’s identity, source control and security operations already run on Microsoft, findings land where the people who act on them already work.
As of October 2026, Microsoft publishes a plan structure rather than public rates. A foundational CSPM tier is free. The paid plans, including Defender CSPM, Defender for Servers, Defender for Containers and Defender for Storage, appear on the Azure pricing page without figures, and Microsoft directs buyers to the pricing calculator or a sales contact for rates tied to their agreement. A 30 day free trial applies, Defender for Containers is billed per vCore of Kubernetes worker nodes and includes 20 vulnerability assessments per charged vCore each month, and pre purchasing Commit Units is advertised as saving up to 22 percent.
The free foundational CSPM tier is genuinely useful and frequently overlooked. A commerce team with any Azure footprint gets secure score and configuration recommendations at no cost, which is enough to find the open storage account before anyone signs anything. The second strength is the integration surface rather than the scanner. A finding that routes into Sentinel and then into the ticketing system the team already uses gets fixed, and a finding sitting in a console nobody opens does not.
The pricing opacity is a real cost. A merchant cannot model what Microsoft Defender for Cloud will cost without a calculator session or a sales call, and per resource and per vCore billing split across separate plans makes the bill hard to predict as the estate grows. The second limitation is fit. Outside a Microsoft aligned organisation the integration advantage that justifies the product largely disappears, and what remains is a competent posture tool competing against cheaper or more specialised options.
Best fit for commerce businesses with substantial Azure infrastructure or an existing Microsoft security stack, typically mid market and above, where the security function and the storefront team already share Microsoft tooling.
Skip if you have no Microsoft footprint. Adopting Microsoft Defender for Cloud to protect an AWS only headless build means taking on the Microsoft operating model to get a view you can assemble more cheaply inside AWS.
Orca Security is an agentless cloud security platform built to produce a broad inventory of a cloud estate quickly, which makes it most useful when the estate was inherited rather than built.
Orca Security uses an approach it calls SideScanning, which reads workloads’ runtime block storage out of band through the cloud provider’s virtualisation infrastructure and reconstructs the file system in a read only virtual view for analysis. Orca states that the technique deploys no agents, sends no packets and runs no code inside your environment. It covers Linux and Windows virtual machines, containers and container images, serverless functions and cloud storage buckets, and collects metadata including security groups, network configuration, policies and IAM permission lists. Orca’s documented ecosystem names AWS, Microsoft Azure, Google Cloud Platform, Oracle Cloud, Alibaba Cloud and Tencent Cloud, although the SideScanning page itself does not tie those providers specifically to the technique.
As of October 2026, Orca Security publishes no pricing. The SideScanning page offers a demo and a free trial route through AWS, and cites a third party return on investment figure of 198 percent, but gives no rate card for the product.
Speed to inventory is what Orca is genuinely good at. For a merchant who acquired a brand, took a build back from an agency, or inherited an estate from an engineering team that has since moved on, the agentless approach produces a map in days without asking anyone to deploy anything into production. The second strength is that out of band scanning removes the usual objection from platform engineers, because there is no agent to argue about and no measurable load on the storefront.
The SideScanning page does not state which cloud permissions or IAM roles Orca Security requires, and that is the first thing a careful buyer needs, so it has to be extracted during the sales conversation rather than read beforehand. The second limitation is structural rather than technical. An inventory tool solves the visibility problem and creates a remediation problem. A merchant who buys Orca to find out what they inherited, without also deciding who owns each finding and who verifies the fix, ends up with a longer list and the same team.
Best fit for merchants who inherited a cloud estate they did not build, above roughly $5M where somebody can be assigned to act on the output, and particularly during a replatform or an agency transition.
Skip if you operate one small cloud account you built yourself and already know what is in it. The inventory advantage is the product, and you do not have the problem it solves.
Sysdig is a cloud native security platform centred on runtime detection, and it belongs on the shortlist only when the commerce team operates its own Kubernetes or container workloads.
Sysdig covers prevention, detection and response for containers and Kubernetes, with detection rules powered by Falco, the open source runtime detection engine, which analyses system calls and Kubernetes audit logs for suspicious activity as it happens. Sysdig spans containers, servers, Kubernetes and serverless, prioritises vulnerabilities using factors including in use packages and real time exploitability, detects lateral movement during investigations, and captures metadata, interactive commands and system calls for incident response. It also links Kubernetes violations back to the infrastructure as code manifests that define them so a pull request can be generated, and Sysdig Sage groups findings by container image and resource.
As of October 2026, Sysdig publishes no pricing. The container and Kubernetes security page offers a demo and a cloud risk calculator, and cites customer outcomes including an 80 percent reduction in time to remediation, but no rates.
Runtime context is the differentiator and it is a real one. Knowing that a vulnerable package is actually loaded in a running container, rather than merely present in an image, is the difference between a remediation queue a small team can clear and one it cannot. The second strength is Falco itself. The detection engine is open source and widely deployed, so the rules a merchant depends on are inspectable rather than a vendor black box, which also means the knowledge transfers if the team later changes platforms.
Sysdig assumes an operating model most Shopify merchants do not have. Runtime detection produces alerts that need somebody on the other end, and a headless build maintained by two engineers and an agency retainer will not staff that. The second limitation is scope. This is workload protection, not application security testing for the storefront repository, and treating it as a replacement for the latter leaves the custom order API unexamined.
Best fit for commerce businesses running self operated Kubernetes or substantial container workloads behind the storefront, typically above $10M, with at least one platform engineer whose job includes production operations.
Skip if your custom services run on managed platforms, serverless functions, or a provider’s container service you do not operate yourself. Buying runtime protection for workloads you do not run is paying for a capability you cannot use.
Wiz is a code to cloud security platform built around a graph of relationships across an estate, aimed at organisations large enough to have the problem of too many connected systems rather than too few.
Wiz connects by API and covers cloud and AI resources including platform services, virtual machines, containers, serverless functions, repositories and pipelines. Its Security Graph analyses relationships between resources to identify the pathways most likely to lead to a breach, and attack path analysis surfaces combinations of risks that are individually unremarkable and collectively exploitable. Runtime protection uses the Wiz Sensor alongside agentless telemetry. Projects and role based access control group resources by ownership, the integration platform shares findings bidirectionally across more than 200 integrations, and code to cloud correlation links a running resource back to the code, the pipeline and the developer that produced it.
As of October 2026, Wiz publishes no pricing on its platform page. The route is a demo request.
The graph is the product, and it earns its reputation on one specific problem: separating a finding that matters from one that does not, when there are thousands. On a headless build spanning multiple accounts and teams, knowing that a misconfiguration on a development workload has a path to the production order database is considerably more useful than knowing the misconfiguration exists. The second strength is ownership routing, which matters more than it sounds. Findings grouped by project and routed to the team that owns the resource are findings that get fixed.
Wiz is scoped for organisations carrying more complexity than most Shopify merchants have, and below a few cloud accounts and a handful of teams the graph has little to reason about. The second limitation is procurement. No public pricing, a modular product surface and a deployment configuration that varies by estate mean the question of what Wiz costs for your specific footprint cannot be answered before a sales process, and it cannot be compared on paper against the per check rate AWS publishes.
Best fit for commerce organisations running headless at scale, typically $50M and above or multi brand, with multiple cloud accounts, several engineering teams, and a security function that owns the estate.
Skip if your headless build is one or two cloud accounts maintained by a single team. The context engine is the value, and with that little context to connect you are buying a capability your architecture does not generate.
Match the tool to who operates the infrastructure, not to the size of the store. A $30M brand running on Shopify’s hosted stack with a frontend on a managed platform has almost no cloud estate of its own, while a $4M brand with custom middleware, a self hosted search index and a nightly export job has a real one.
If your custom services are predominantly in AWS, start with AWS Security Hub and its CSPM checks. Published per check pricing means you can estimate the bill before committing, and the services feeding it are already in the account. Do this before evaluating anything else, because it sets the baseline every paid alternative then has to justify itself against.
If your organisation already runs on Microsoft identity and tooling, the free foundational CSPM tier in Microsoft Defender for Cloud is the equivalent first move, and the integration with Sentinel and Defender XDR is the reason to go beyond the free tier, not any scanner advantage.
If the same two or three engineers write the storefront code and own the cloud account, Aikido Security consolidates work that would otherwise sit in four tools, and its free Developer tier covers a single cloud account well enough to evaluate honestly. The trade off is worth naming: consolidation means accepting one vendor’s depth in each area rather than best in class in any single one, and the cloud account limits bind sooner than teams expect.
If you inherited the estate rather than building it, Orca Security buys you a map faster than anything else here. Budget for the remediation work that follows, not just for the scan.
If you operate Kubernetes yourself, Sysdig is the runtime layer, and it is additive to posture tooling rather than a replacement for it. If you are running several cloud accounts across multiple teams with a security function that owns them, Wiz is built for exactly that shape, and below it the graph has little to connect.
The pattern worth resisting shows up repeatedly between $2M and $10M, and it is the same pattern behind app bloat in the Shopify stack: buying the platform that fits the architecture the team intends to have in two years, and paying for it through the two years when they do not.
The shortlist only becomes answerable once you have written down every service in your purchase journey and named who operates each one. Sketch the path from a shopper landing on the storefront to an order reaching finance, and label each component company operated, partner operated or fully managed SaaS. Include the background jobs and the data exports, not just the public storefront, because that is where the unowned service usually hides.
Our own guide to API security for online stores makes the matching point about the Shopify side of the diagram: the exposure is rarely the platform, it is the integrations and the access tokens nobody revoked when an app was uninstalled. The same logic applies one layer down. For every component you operate, name the owner, the scanning method and the process that verifies a fix actually landed. That list is what turns this page into a decision.
There is no best cloud security tool for headless commerce, which is why this list is unranked and why none of the six is presented as a winner. The right one depends on which parts of your own architecture you are actually responsible for, and a dashboard reporting a clean posture can be accurate and misleading at the same time, because it is only reporting on the accounts you remembered to connect.
There is no single best cloud security tool for headless commerce, because the right choice depends on which infrastructure your own team operates rather than on your revenue. For a headless build whose custom services sit in AWS, AWS Security Hub is the baseline because its per check pricing is published and the services feeding it are already in the account. For a team where the storefront engineers also own the cloud account, Aikido Security consolidates code and cloud work into one subscription. For an inherited estate, Orca Security maps it fastest. For self operated Kubernetes, Sysdig adds runtime detection. For multi account estates with a dedicated security function, Wiz is built for that shape.
Published pricing exists for two of the six tools on this list, and the rest are quote only as of October 2026. AWS Security Hub CSPM charges $0.0010 per security check for the first 100,000 checks a month, falling to $0.0008 for the next 400,000, with finding ingestion free for the first 10,000 events monthly. Aikido Security publishes a free Developer plan, Basic at 300 per month, and Pro and Advanced at 600 per month. Microsoft Defender for Cloud offers a free foundational CSPM tier with paid plan rates available only through the Azure pricing calculator. Orca Security, Sysdig and Wiz publish no rates and route buyers to a demo.
The difference is the size of estate each one is designed for. Aikido Security is built for engineering teams that own both the code and a small number of cloud accounts, bundling dependency scanning, static analysis, container scanning, infrastructure as code checks and cloud posture into one subscription with published pricing and account limits in the single digits on most plans. Wiz is built for organisations with many accounts and teams, where the value comes from a Security Graph that connects relationships across the estate to surface exploitable attack paths. Below a few cloud accounts the graph has little to reason about, and above ten accounts Aikido’s plan limits start to bind.
No, Shopify’s PCI compliance covers the Shopify platform and the stores running on it, not the cloud infrastructure your team operates alongside it. Shopify states it is certified Level 1 PCI DSS compliant and that this extends by default to all stores on the platform, covering the store, the shopping cart and Shopify’s web hosting. A middleware service, a self hosted search index or a data export job running in your own AWS or Azure account sits outside that boundary and is yours to secure and to scope. Our PCI compliance guide covers the merchant levels and the self assessment obligations that remain with you regardless of platform.
Move when the estate stops being describable from inside one cloud provider’s console. Three signals matter more than revenue. The first is multiple providers: if meaningful parts of the purchase journey run outside AWS, you are assembling a view by hand that a dedicated platform sells assembled. The second is multiple teams, because ownership routing becomes the bottleneck once more than one team can deploy. The third is runtime: if you operate Kubernetes yourself, posture tooling alone is not covering the running workload. Until at least one of those is true, the additional spend is buying capability your architecture does not yet generate.
