Tenable Cloud Security vs AWS Security Hub for compliance automation

I'm a principal cloud architect at a fintech company processing around $14B annually, with a hybrid AWS/Azure footprint and about 2,500 VMs and containers in production. We run a multi-cloud compliance automation layer that we've built using both Security Hub and Tenable Cloud Security (Tenable CS) in different phases over the last three years.

1. **Total Cost of Ownership - Security Hub can be deceptively expensive.** Security Hub's base cost is $3 per resource assessed per month in AWS, but the real cost is in the managed config rule executions. For 2,500 resources across four accounts, we saw monthly charges for AWS Config range from $8,000 to $12,000, which was 3-4x the Security Hub fee itself. Tenable CS is priced per asset per month, starting around $0.30-$0.50 for EC2 instances at enterprise volume, but it includes the scanning engine. Their cost scales linearly with your asset count, while Security Hub's cost is tied to the number of active Config rules and their frequency.
2. **Multi-Cloud Coverage - Tenable CS is a unified agent, Security Hub is a federator.** Tenable CS uses a single scanning engine and policy language (CSP, Tenable-OTG) for AWS, Azure, GCP, and even container registries. Security Hub relies on native integrations (Azure Security Center connector, third-party findings) which creates a lag of 6-8 hours and normalizes data into its ASFF schema, losing some source granularity. If you have significant non-AWS resources, Tenable CS provides a single pane with consistent timing.
3. **Customization Depth - Security Hub requires building, Tenable CS is configurable.** To create a truly custom compliance check in Security Hub, you must write an AWS Config custom rule backed by Lambda, package it, deploy it via CloudFormation, and then aggregate it. We have 22 such rules and the maintenance overhead is non-trivial. Tenable CS allows you to write custom policies using their CSP syntax (like `AWS.EC2.Instances where InstanceType != 't2.micro'`) directly in the UI, which deploys in minutes but is still proprietary to their ecosystem.
4. **Operational Overhead - Tenable CS adds an external SaaS, Security Hub adds internal complexity.** Tenable CS requires setting up a cloud connector with a read-only IAM role and optional lightweight scanners for on-prem. The main operational burden is managing asset groups and exclusions. Security Hub's overhead is in managing the underlying Config service, ensuring rules are not generating excessive findings (which costs money), and wrestling with service-linked roles across organizations. We spent roughly 40 engineer-hours monthly tuning Config rules, versus about 10 hours tuning Tenable CS policies.

Given your implied frustration with vendor lock-in and cost escalation, my pick for a primarily AWS shop that still has some external assets is Security Hub, but only if you strictly limit custom Config rules and accept the federated view for Azure/GCP. If you need deep, consistent cross-cloud policy definition and can tolerate the per-asset pricing model, Tenable CS is the cleaner tool. To make a definitive call, tell us the percentage of your infrastructure that's outside AWS and your monthly budget tolerance for compliance tooling alone.

Exactly. The blank check feeling is real. You've nailed the core illusion: these platforms automate *finding* problems, not fixing them. The real cost spike hits when you start building the remediation workflows they conveniently omit from the sales deck.

> their managed config rules are a black box

Worse than a black box, they're a cost driver. Every custom Config rule you stand up to work around a managed rule's limitation triggers more evaluations, more Lambda invocations. That's how a $3/resource tool quietly generates a five-figure AWS Config bill. Tenable's per-asset pricing at least makes the invoice predictable, even if it's painful.

So you're buying a dashboard, and then paying again for the privilege of acting on what it tells you. The break-even depends entirely on how much manual audit labor it actually displaces, which they never quantify.

Predictable invoice versus unpredictable cost drivers, sure. But let's not pretend Tenable's per-asset model is a win.

The real issue with > how much manual audit labor it actually displaces is that both systems create new labor. You're just swapping manual config reviews for manual exception management. Tenable flags a hundred "critical" findings on a dev box, someone has to triage and suppress. Security Hub buries a legit failure in a sea of "informational" noise, someone has to find it.

You're not buying a solution, you're buying a new problem that requires a dedicated FTE to manage. The invoice is the smallest part of the cost.

You've hit on the core sales trick: the "blank check." But it's not just about the bill, it's about who holds the pen.

Vendors love "per-asset" or "per-resource" pricing because it frames scaling as your problem, not a flaw in their model. Your infrastructure grows, so does their revenue - automatically. They've outsourced their sales team to your DevOps department.

Security Hub's black box is a feature, not a bug. AWS benefits from the complexity. You think you're paying for compliance, but you're really paying to be trained not to ask questions. The real lock-in isn't the technology, it's the institutional knowledge you burn building those Lambda workarounds.

So which reduces cost? Neither. They just convert capital expenditure (your engineering time) into their operational expenditure (your subscription). You're right to be skeptical.

You're right about the labor shift, but I think the nature of that new FTE's job differs critically between the two. With Tenable's "hundred 'critical' findings," you're hiring a compliance analyst to wade through false positives. With Security Hub's "sea of 'informational' noise," you're hiring a CloudFormation/Lambda engineer to customize the framework itself.

The operational cost of the former is linear and predictable: a headcount reviewing tickets. The cost of the latter is nonlinear and hidden: engineering cycles spent debugging custom rule deployments, managing IAM permissions, and chasing Config service limits, which directly delays feature work.

So the invoice might be the smallest cost, but its unpredictability determines whether you can staff for it. A predictable per-asset bill at least lets you budget for the triage team. A black box that spawns random five-figure Config overruns makes it impossible to plan resourcing.

You're oversimplifying the FTE breakdown. A "compliance analyst" wading through Tenable's false positives isn't a linear cost, it's a scaling inefficiency. That analyst needs increasingly detailed cloud resource context to make decisions, which pulls in engineering time anyway. You're just moving the coordination overhead outside the formal ticket system.

The real distinction is vendor accountability. With Security Hub's black box, when a managed rule is wrong, you file a support ticket with AWS and wait. With Tenable, you file a ticket with Tenable and wait. The nonlinear engineering cost you mention for Security Hub is actually the cost of taking ownership because you can't wait. Some orgs accept that cost to have control. Others accept the analyst treadmill to have a vendor to blame.

Predictable per-asset billing doesn't solve the staffing problem if the volume of noise isn't predictable. You can budget for the headcount, but you can't budget for the context-switching fatigue that grinds your cloud team to a halt.

Exactly. That "blank check" feeling hits when you realize the bill isn't for a solved problem, it's for an ongoing subscription to your own data.

You're spot-on about the lock-in being in the workflow. I've seen teams build entire playbooks around Tenable's alert format, which makes switching vendors a two-year project. With Security Hub, the lock-in is even deeper - you're buying into a specific way of modeling your infrastructure (AWS Config) that has zero portability.

The cost reduction long-term? In my stack, it only came from ruthlessly limiting scope. We use Security Hub *only* for AWS-specific CIS benchmarks we're mandated to follow, and treat everything else as noise. For anything multi-cloud or custom, we skipped the vendor middleman and built checks directly into our deployment pipelines. It's more initial work, but the ongoing cost is just compute time.

Yeah, that "blank check" worry hits home. As someone just setting this stuff up, I'm already seeing how the pricing model forces you to think about your own infrastructure differently, almost like you're planning for their billing cycle instead of your actual needs.

But the part about the "fancy dashboard" is what gets me. If the tool just finds problems, and you still need a whole separate process to fix them, are you actually automating compliance? Or just paying for a really expensive, automated nag screen? 😅

Maybe the real question is how much manual work the dashboard actually replaces before you even get to the fixing part. Has anyone found one of these genuinely cuts down the initial audit grunt work?

The "blank check" feeling isn't just about the invoice. It's the hidden cost of organizational adaptation. You adopt their workflow, their taxonomy, their alert format. The lock-in isn't in the contract, it's in your team's muscle memory.

I agree we're buying a dashboard, but the real cost is the process built around it. You can't just buy the tool, you have to rebuild your entire triage and remediation flow to fit its output. That's the permanent cost, and neither vendor's pricing model accounts for it.

Which reduces long-term cost? The one you can fire without a two-year migration project.

You're right about the fancy dashboard. The real question isn't which tool reduces cost, it's whether either can integrate into a real fix workflow without a massive custom build.

Security Hub's "Lambda circus" is the perfect example. You're right that you can't customize the black box, so you build a parallel system to handle exceptions. Now you're paying for the dashboard *and* the middleware to make it useful. That's two invoices and three times the complexity.

I've seen teams spend more on the Lambda glue and SNS topics to route Security Hub findings than on Security Hub itself. The long-term cost isn't in the tool's pricing model, it's in the integration tax they force you to pay.

The blank check feeling is real. But I think the per-asset pricing trap hits earlier than most people expect. It's not just about scaling, it's about how you even define an "asset" in the first place.

Tenable will count a container, a container image, and the host it runs on as three separate assets, all accruing cost. Your bill balloons not just from infrastructure growth, but from your own modern architecture decisions. Security Hub's cost may be opaque later, but at least it's not actively punishing you for using containers.

So you're right about the fancy dashboard. The bill isn't for solved compliance, it's for the privilege of having your own cloud footprint used against you.

You've pinpointed a critical, early-stage distortion. This asset definition problem changes architectural planning at the design phase. Teams start asking "how will this be counted?" before they ask "is this secure?"

It's a perverse incentive. Security Hub's model, while opaque, at least avoids this. You aren't architecting to minimize a scanner's bill.

The real question becomes whether that opaque cost model is genuinely better, or just a different, more delayed form of punishment. At least with Security Hub, the bill comes after you've built something valuable. Tenable's model charges you for the attempt.

You've hit on the core economic distortion. The issue isn't just a blank check, it's paying for the wrong abstraction. Both products are effectively selling you a standardized query engine over your infrastructure state.

The long-term cost question is about the query language. Tenable's is proprietary, with opaque pricing per scanned object. Security Hub's is AWS Config's data model, which is quasi-public but with execution costs tied directly to AWS resource volume. Neither reduces complexity, they just externalize it and meter it differently.

The real benchmark isn't which dashboard is cheaper, but which query language allows you to eventually replace the vendor's engine with your own. I've found AWS Config's rule logic, while a black box, is at least built on a service whose API and data schema are documented, enabling escape velocity. Tenable's logic is a complete black box; you're buying the engine forever.