Welcome back to the deep dive. Today. We are immersing ourselves in a topic that's well, highly specialized, but absolutely foundational for digital trust, cloud governance, compliance and auditing.
It really is. It's dense critical stuff. For this deep dive, we're aiming to cut straight to the core, you know, extracting the essential frameworks and the specialized risks outlined and sources like thek the Certificate of Cloud Auditing Knowledge Study material.
Yeah, our goal is really to give you a shortcut here. We want to synthesize exactly how major organizations manage security, meet those regulator demands, and maybe most importantly, established trust in these third party environments they don't physically control. And the starting line for all of this it has to be governance itself, right, that's right.
I mean when you look at the definition of governance ISSAD talks about ensuring stakeholder needs are met through evaluated options based on policies, procedures, controls, all promoting transparency and accountability. You realize how complex that already is. And let's a traditional it. But in the cloud, where you introduce dynamic external actors, shared resources, that complexity just well, it explodes.
Okay, let's unpack that explosion, that exponential growth. Why do those traditional IT governance models, you know, the ones we spend decades building for our own server rooms, why do they fundamentally break down when we shift to iss pace or sauce.
The single biggest reason. It's the shared responsibility model. See traditional models assume you have full control over.
The asset everything, your server, your network, your app exactly.
But the cloud demands the specific, really granular mapping of controls. Who's responsible for the OS patching, who handles data encryption at rest? But here's the critical distinction, the thing you absolutely must always remember. While the responsibility for executing certain controls might transfer to the cloud service provider, the CSP accountability that always remains with the customer always.
Okay, so on we get this straight. I'm a customer using maybe a Sauce application. Yeah, and that Sauce app runs on some is provider's infrastructure, which maybe uses a network subcontractor so there could be like four layers in.
This change easily could be more.
And even with all those providers handling operations down the stack, I am still the one ultimately held accountable if customer data gets lost or leaked exactly.
That's the crux of it. And compounding that challenge, it's the sheer pace of change. Cloud platforms evolve constantly. Features get updated, they get retired, modified, sometimes, you know, multiple times in a single day. So this incredible rate of change means that any complex long term policy or governance framework you painstakingly built maybe six months ago, it's constantly at risk of becoming irrelevant, just poof outdated because the platform changed underneath you.
Okay, so it makes existing governance harder. But let's turn the corner now and look at the risks that well, they only really exist because of the cloud model itself. It's not just making old risks harder, it's actually in nearing brand new ones. What are some of those unique inherent cloud risk factors that compliance teams are wrestling with now?
Well, the first one, and it's tied right to the core architecture, is isolation failure. Okay, because the cloud is built on shared tenancy, right, multi tenancy. You've got multiple customers sharing the same underlying hardware, separated by these virtualization layers hypervisors. If that hypervisor or those isolation mechanisms fail even slightly, well, one customer's environment could potentially bleed into
another's that could lead to unintended access. That specific risk, it just doesn't exist when you own all your own hardware in your own building, and.
I imagine data deletion changes completely too. In our own data centers, we can take a drive out, shred it, wipe it physically. But in the cloud, where we're abstracted from the hardware, how can we really be sure that data is gone.
That's the risk of incomplete data deletion. It's a big one. When you, as a cloud customer, request deletion, the CSP well often for its own upper rational reasons like ensuring reliability, availability, or maybe maintaining a fast rollback capability. They might maintain extra copies of that data in various storage layers, snapshots,
backups you don't even know about. So you have limited visibility, very limited, meaning your deletion command might be technically fulfilled, but it might not result in a true complete wipe. That creates this potential long term compliance exposure, especially if that data legally must be purged, and.
The very way you manage your cloud environment, the management interface that becomes a new attack surface, doesn't it.
That's interface compromise precisely those management interfaces, the APIs, the web consoles, the dashboards. They're often exposed over the public Internet for convenience, but they control everything your networking, your storage, your compute instances, everything. So if a militia's actor compromises those interfaces, maybe they steal weak API keys or find hard coded credentials someone stupidly left encode. They essentially get the keys to your kin to make can compromise your
entire computing environment, your data stores. Game over.
And then there's the perennial challenge. It transcends all technologies really, but it just gets amplified like crazy by how easy it is to consume cloud services. Shadow I t.
H shadow it T Yes, that's a really good question, and it gets to the core tension. The CCM, the cloud controls matrix. It isn't really trying to start over from scratch. It's often called a meta.
Framework, a metaframework rap.
Yeah. Its whole purpose is twofold. First to guide the CSPs themselves and implementing security correctly for the cloud context, and second to help prospective customers like you assess a provider's risk exposure. Specifically, related to those unique cloud native risks we just talked about.
So it's kind of like a translation tool showing how existing compliance standards map onto the cloud reality exactly.
That's a great way to put it. The CCM maps its specific cloud controls back to I think it's around forty existing industry accepted security standards, regulations and control frameworks NIST, ISO, COVID, PCIDSS, you name it.
Oh, okay.
So this means if a provider says they're compliant with, say a specific NIST eight hundred and fifty three control, the CCM helps show exactly where that overlaps with cloud needs, and crucially, it also highlights the specific governance gaps that still need cloud native controls.
On top of that, that makes sense, and the structure itself sounds incredibly granular, which I guess is vital for auditors. It defines sixteen domains, right, things like application and interface security or governance and risk management.
Yes, sixteen high level domains, but then it slices the controls within those domains by applicability, which is key.
Oh so well.
The CCM uses these specialized columns to make sure the controls are relevant to the specific situation. There are architectural relevance columns that denote applicability across the different cloud layers. Is this control about physical security, network, compute, storage, application data?
Got it?
And maybe most importantly, especially when you're procuring services it uses this is cloud service delivery model applicability columns. These clearly show which controls are relevant to IA versus POSS versus SAUS models, because you need very different assurances depending on which model you're consuming.
Absolutely, so, how does a customer actually use this framework in practice? I mean other than just reading through a potentially massive spreadsheet.
Right, you need something practical. That's where the Consensus Assessments Initiative Questionnaire or CAIQ comes in.
It's CAIQ, okay.
This is the practical industry accepted way for documenting which security controls actually exist in a providers specific IAS, PIASS or SAUCE offerings. It's essentially a standardized list of I think it's around three hundred and ten targeted questions derived directly from the CCM controls. A customer or an auditor can give this questionnaire to a CSP and the provider's answers demonstrate the presence and hopefully the operational status of those controls.
So it's the practical interface to the CCM's theory.
Precisely. Now here's a really important practical reality check. The CSPs they are almost never going to allow you, the customer, to perform your own hands on audits of their physical infrastructure.
Right for security, multi tenancy reasons exactly.
So this means cloud customers have to rely almost entirely on audited, documented, third party assurance. You can't kick the tires yourself.
Okay, So we need some kind of robust, ideally public mechanism to establish that trust and transparency even though we can't physically step inside their data center.
And that mechanism the industry standard is the CSA STAR program. STAR stands for Security, Trust, Assurance and Risk. Okay. It's the industry's framework that's really dedicated to rigorous auditing and trying to harmonize all these different cloud assurance standards, and it offers different tiered levels of assurance.
Let's talk about those levels. Level one sounds like maybe the most basic self reporting.
It is. Level one is the self assessment. It's the starting point. It offers pretty good transparency because the provider actually completes and publishes their answers to the CAIQ. Okay, so that gives you, let's say, good to moderate assurance. You see their claims, but they haven't necessarily been independently verified at this level.
Right, So when a company wants real high assurance, they need to move up to the level two.
Exactly. Level two is where you get third party certification or attestation. This is where the assurance level jumps significantly. And the really key element here, the one most mature organizations look for, is the Star attestation Star attestation.
Now you mentioned it's built on SC two type two for listeners who might be less familiar with audit standards. What exactly does an SOOC two type two attestation verify?
Sure? So a standard SoC two report. That's Service Organization control report. It's an independent audit that verifies that a service provider's internal controls are designed and operating effectively to meet the AICPA's trust services criteria over a specified period of time, usually six to twelve months for a type two.
Those criteria are.
Security, availability, processing, integrity, confidentiality, and privacy. The provider chooses which ones are relevant to their service.
Okay, So if a CSP gets a STAR attestation. How does that differ from just getting a standard SEC two report? What's the added value?
Great question. The Star attestation is fundamentally at SEC two type two report, but it's specifically augmented by adding the cloud specific controls detailed in the ccmh Okay.
It layers on the cloud specifics precisely.
It provides the independent auditor the CPA firm doing the audit with explicit guidelines for conducting cloud specific engagements. They're not just trying to shoehorn cloud security requirements into a generic IT audit template. It ensures those trust services criteria are tested against the real complexities of ias, plause or sauce environments.
That makes perfect sense. It bridges the gap and theoretically the top tier level three that moves towards continuous auditing offering the absolute highest assurance through ongoing near real time assessment.
That's the goal, yes, very high assurance and transparency. And this idea of continuous assessment moves us directly into the whole domain of auditing in the cloud. The complexity, especially with that shared responsibility model. It requires auditors to adopt what some of our sources call two dimensional thinking.
Two dimensional thinking. Okay, what does that mean? In practice?
The traditional audit, you have to evaluate every control through the lens of that shared responsibility model. You need to determine is this control mirrored or is it layered?
Okay, mirrored versus layered. Let's break that down. Layered sounds like building blocks.
Let's use an analogy, maybe renting an apartment, because layered controls are probably the most common source of confusion and frankly failure. Think of it like this. The landlord, who is like the CSP, is responsible for the building's foundation, the structural integrity, and maybe ensuring the locks on the main entrance store are functional. Those are the underling platform
controls right the base, You, the tenant, the customer. You are responsible for deciding who you give keys to for your specific apartment, how you secure your valuables inside, maybe the multi factor authentication on your specific application log in. Those are the user controls built on top.
Got it? So, layered controls mean the overall security depends on my controls operating effectively on top of the CSP's foundational controls exactly.
Failure in either layer can cause a breach. Maybe the landlord leaves the front door unlocked CST failure, or maybe you leave your apartment window open customer failure. The operational responsibility is divided, but the outcome depends on both.
Okay, that clarifies layered. What about mirrored?
Then mirrored is simpler conceptually, think of something like secure awareness training. In that case, the CSP needs to train its staff effectively to defend against social engineering attacks directed at them and their infrastructure, and the customer needs to train its staff effectively to recognize phishing scams directed at their application users or their accounts.
So both organizations have to operate the same type of control independently but effectively to protect the whole system.
Precisely, both marrors need to be intact.
Now we've established that cloud services change incredibly fast, sometimes multiple times a day. If our compliance program relies on a traditional audit basically a snapshot taken once a year, that assurance feels instantly obsolete the day after the auditor leaves, Which is why I assume we have to move toward this idea of continuous assurance.
Absolutely, traditional point in time compliance is just fundamentally insufficient for the dynamic nature of the cloud environment. It requires a major shift from that snapshot perspective to a continuous process. But it's really important to clarify the terminology here because people often mix them up. There's continuous monitoring, which is typically the automated continuous feedback loop provided to management. It tells them about vulner our abilities, active threats, control failures
in your real time. It's primarily a management tool for operational awareness.
Right versus continuous auditing.
Yes, continuous auditing is different. That's the ongoing assessment process conducted by auditors internal or external to determine the actual fulfillment of service level objectives, service qualitative objectives, control effectiveness, so provides assurance. It's the mechanism that provides ongoing assurance that controls are always operating effectively, not just on the specific day the auditor happens to show up and test them.
And this whole need for speed for continuous validation, it inevitably pushes security earlier in the process. Doesn't it into the development cycle itself. We hear terms like DevSecOps and shifting security.
Less absolutely unavoidable. Modern software development relies heavily on automated practices like continuous integration, continuous delivery and continuous deployment the CICD pipeline.
Right, pushing code changes frequently.
You simply it can't wait until the application is deployed to production to find critical security flaws. It's too late, too expensive, too risky. Security must be embedded earlier, shifted left, as they say, right into the software development life cycle itself. Automated security testing, code scanning, dependency checks all part of the build process.
So this fundamentally changes the auditor's job too, right, They aren't just auditing the final production system anymore if they're actually auditing the automation pipelines themselves. The CICD tools and processes.
Correct the focus shifts. The auditor now needs to verify that effective security gates are consistently built into that automated pipeline. They need assurance that the automation processes themselves are reliably producing code that has built in auditability and meets compliance checks before it ever gets deployed.
So you audit the factory, not just the car coming off a line.
That's a perfect analogy. You verify that the automated process guarantees security before deployment, rather than just checking the security status after deployment.
Okay, so let's write this up. What does this all mean for you, the organization consuming these cloud services? I mean the very existence of these specialized frameworks like the CCM, the transparency hopefully offered by the CIIQ, and this rigorous multi level star program. It shows just how much effort the industry has poured into ensuring that trust can actually exist in environments you don't physically control.
It really does. But we started by discussing accountability versus responsibility, and honestly, that is the most critical takeaway here. Even with all these sophisticated layers of third party controls, the specialized governance frameworks, the risk management efforts, the ultimate accountability lies squarely with you, the cloud customer. You must execute
that continuous due diligence. You have to ensure that shared responsibility model is mapped out, clearly, understood and audited correctly for your specific use case.
Understanding that distinction is absolutely paramount, because while you can and often must outsource the execution of a control to your SAE, you can never ever outsource the ultimate accountability for protecting your data and meeting your obligations.
That's the fundamental truth and you know. Just to hammer this point home, here is a really stark figure from one of our sources that underscores exactly why understanding this two dimensional governance model is so critical for any organization using the cloud. A report from Gartner suggests that over the next five years at least get this, ninety nine percent of cloud security failures will actually be the customer's fault.
Ninety nine percent.
Ninety nine percent, that massive, almost overwhelming number. It just reinforces the reality the technical security operations might be largely outsourced, but the ownership of governance, the compliance posture, the risk management decisions that must remain firmly rooted within your organization, the consuming organization. It's non negotiable.
