Introduction to Continuous audits for public cloud

Businesses have lost track of crucial control measures needed for their cloud infrastructure due to the rapid adoption of cloud computing, AWS, Azure, and Google cloud services are now more popular than ever due to the pace of innovation and customer expectations from the business.

Gartner predicts that 85% of enterprises will adopt the cloud-first approach by 2025. In addition to reducing IT costs, the cloud may also offer greater flexibility and efficiency. Companies have also used cloud tools to adjust to the ongoing pandemic.
Read our recent article - Building Security Using GenAI

2026 update — the framing above is dated; here are the current numbers and the current driver. This paragraph was written in early 2022, so two things need refreshing:

• The “85% by 2025” prediction has passed, and cloud adoption is now simply the norm. Gartner reported worldwide public cloud end-user spending of roughly $723 billion in 2025 (up from about $596 billion in 2024), and it projects the market to keep growing around 20% a year, with cloud becoming a straightforward business necessity by 2028. You no longer need a forecast to justify cloud adoption — the question has shifted entirely to governing it.
• The “ongoing pandemic” is no longer the driver. In 2026 the force reshaping cloud usage is AI and GenAI workloads, which is pushing organizations to spin up new services, data stores, and identities faster than ever. That acceleration is exactly why continuous auditing matters more now than it did in 2022: the environment changes daily, so a once-a-year manual audit is guaranteed to be out of date the moment it is finished.

Along with the adoption of cloud services, they also welcome many associated risks. Some significant risks include:

• Loss of governance
• Authentication and authorization
• Compliance and legal risks
• Security incidents management
• Malicious behavior of insiders
• Insecure or incomplete data deletion

2026 update — this risk list is still accurate, and two risks now sit near the top of it. Everything above remains a real cloud risk, but the 2026 threat picture adds emphasis in two places worth calling out explicitly: identity and entitlement sprawl (over-permissioned human and machine identities, which is where “loss of governance” and “authentication and authorization” now most often bite), and software supply-chain and AI-agent risk (compromised dependencies and autonomous coding agents holding cloud credentials). Both are precisely the kind of slow, silent drift that a one-time audit misses and a continuous audit catches.

According to the Cloud Standards Customer Council, when you move your data to the cloud, you generate a certain degree of responsibility for your cloud provider, so ensure that they are both reliable in their own right and willing to safeguard your data.

Incorporating measures such as regular audits into your organization’s security program can help eliminate problems arising from infractions of in-house policies – either accidentally or by design – or identify whether the cloud provider has fallen below minimum compliance standards.

Why are Audits beneficial for Cloud users?

There are two significant benefits of audits for cloud users. These benefits should be considered on a priority basis while moving to the cloud.

1. Auditing provides security assurance
2. Auditing lowers the risk of data breaches in the cloud.

Security Assurance

Cloud computing comes with its own set of security challenges. Cloud infrastructure results from a constant three-way negotiation among service organizations, cloud service providers (CSPs), and end-users to ensure productivity while maintaining a reasonable degree of security.

2026 update — a practical note on what “security assurance” now requires. Assurance in 2026 means being able to answer, at any moment and with evidence, three questions: what do I have, is it configured correctly, and who can reach it? A point-in-time audit can answer those questions for the day it runs, but cloud environments change constantly — new resources, new identities, new permissions — so assurance has become a continuous property rather than a periodic report. The most reliable way to provide it is to feed configuration data (from AWS Config or the equivalent), posture findings (from CSPM/CNAPP), and activity logs (from CloudTrail and friends) into one place where deviations from your approved baseline raise an alert automatically. That is what turns “we audited last quarter” into “we can prove our controls are operating right now.” A cloud security audit addresses unique problems typically not handled in traditional IT security audits. Audits determine if an information system and its maintainers comply with legal expectations concerning data protection and the company’s financial objectives regarding protection against various security threats. Cloud audits allow staying transparent, meaning security-relevant data is transparent to CSP customers. Transparency lets organizations pinpoint potential security risks and dangers and design and develop the proper countermeasures and suggestions for their company.

Low risk of data breaches

The right audit can make a huge difference for companies using the cloud and ensure that their cloud service provider and their DevOps and engineering team members make proper use of the cloud infrastructure to stay compliant. In other words, you want to know everything you can about the environment in which your data will be stored.

Taking responsibility for your cloud computing decision will allow you to be aware of situational circumstances, evaluate alternatives, identify priorities, and affect changes in security and privacy that serve the best interest of your company. Making the right choice of an audit is a big step toward success.

What do Auditors test in your cloud while auditing?

Auditors rely on different procedures such as inquiry, physical inspection, observation, confirmation, analytics procedures, and re-performance to collect evidence. These test procedures are combined to obtain evidence to provide an opinion on the service being audited.

Continuous Security Audits

Continuous security audits monitor your entire technology environment 24/7, 365, alerting any deviations from your security baselines.

The security teams continuously audit with ongoing monitoring to get an up-to-date view of actual cloud environment risks. Respected teams are alerted automatically when a risk arises. Once alerted, they can immediately remediate issues before they spiral into massive problems.

Continuous cloud auditing and risk assessments are impossible with manual auditing as it is time-consuming and prone to human error.

2026 update — here is what “continuous auditing” concretely looks like in 2026, so this is not left abstract. When this article was written, continuous auditing was mostly a goal. Today it is a well-defined stack of tooling, and you should know the categories by name:

• CSPM (Cloud Security Posture Management) continuously checks your AWS, Azure, and GCP configurations against benchmarks (CIS, PCI DSS, NIST) and flags drift the moment a resource falls out of compliance. This is the core engine of continuous auditing, and the shift is visible in this case study on moving off AWS Trusted Advisor and open-source scanners to continuous CSPM.
• CNAPP (Cloud-Native Application Protection Platform) is the broader category that has largely absorbed CSPM, adding workload scanning, identity analysis (CIEM), and — most importantly — attack-path analysis that connects individual findings into “here is how an attacker would actually chain these together.” Auditing in 2026 is less about long flat lists of findings and more about prioritized, correlated risk.
• IaC scanning shifts auditing left: tools scan your Terraform, CloudFormation, or Kubernetes manifests in the pull request, so a misconfiguration is caught before it is ever deployed.
• Drift detection watches for changes made directly in the console that diverge from your approved infrastructure-as-code baseline — a common source of the human error the statistics above describe. The modern principle is “audit continuously and automatically, at every stage — code, deploy, and runtime,” rather than periodically and by hand.

Top Benefits of Continuous Audit for Public Cloud

An appropriate continuous audit tool can bring substantial benefits to organizations. Automation allows for a more accessible hands-off approach to process management. Analyzing and reporting become straightforward when all the data is organized and laid out. Teams can quickly gather and analyze data on risk on activities while they occur.

Access Insights

Continuous auditing detects risk and provides the security teams with emerging insights into the risk landscape. For e.g. A company that detects continuous access trials from an unknown IP address from an unapproved region can implement controls and monitor the misconfigurations with the help of constant audits.

2026 update — the biggest source of “access insights” today is identity, and it is where continuous auditing pays off most. The example above (login attempts from an unusual IP) is still valid, but in 2026 the highest-value insight from continuous auditing is understanding who and what can access what across your cloud. Two developments make this urgent: first, machine and non-human identities now vastly outnumber human users, and each carries permissions that can drift toward over-provisioning; second, AI coding agents and automation now hold cloud credentials, creating a new class of identity that acts autonomously. Continuous auditing of entitlements (this is the CIEM discipline) surfaces unused permissions, risky cross-account trust, and standing privileges that should be temporary. Pairing continuous audit findings with just-in-time access — where elevated permissions are granted only for the moment they are needed and then revoked — is one of the most effective ways to shrink the very attack surface these audits keep discovering, as one team found when closing the audit-trail gap from missing logs to complete JIT access auditing.

Immediate Detection of Errors and Frauds

Modern cloud technology allows for minor changes in workload to be detected. With auditor’s regular checks that happen in a detailed manner at regular intervals, errors and fraud could be detected as soon as they occur, and you could remediate them.

2026 update — “as soon as they occur” now means seconds, and the response can be automated. In 2026, detection and remediation no longer wait for a human to review an audit. A configuration change (say, someone opens a security group to the internet or disables a logging trail) can trigger an event through Amazon EventBridge or the equivalent, which in turn kicks off an automated remediation — reverting the change, quarantining the resource, or notifying the owner — often before an attacker can act on it. This is the practical difference between periodic and continuous auditing: periodic auditing tells you what went wrong last month, while continuous auditing with automated response closes the window between mistake and fix to near zero. Build this loop deliberately, and reserve human review for the genuinely ambiguous cases rather than the routine drift.

Misconfiguration Prevention

Misconfigured clouds add to risk and go unnoticed until something goes wrong. Misconfigurations might seem straightforward and avoidable, but they are the most significant risks to cloud environments. 65-70% of all security challenges in the cloud arise from misconfigurations. Continuous audits help organizations identify possible misconfigurations before they are discovered, preventing costly breaches.

2026 update — the “misconfigurations are the biggest risk” point is now even better supported, with sharper figures you can cite. The original “65–70%” figure was an unattributed estimate. The current, widely-cited data makes the case more strongly and more precisely:

• Gartner’s well-known projection is that through 2025–2026, roughly 99% of cloud security failures are the customer’s fault — that is, the result of how the customer configured the cloud, not a flaw in the cloud provider. This is the practical meaning of the Shared Responsibility Model.
• Industry research in 2024–2025 (for example, from SentinelOne) attributes the large majority of cloud misconfigurations — on the order of 80%+ — to human error rather than software bugs, and IBM’s 2025 Cost of a Data Breach report ties a significant share of breaches to human mistakes. The takeaway has not changed, only strengthened: misconfiguration is the dominant cloud risk, it originates on your side of the responsibility line, and it is caused by people making changes faster than manual review can keep up. That is precisely the gap continuous auditing closes.

AWS Misconfigurations

It takes one mistake on your part for a malicious actor to damage your brand!

Cloudanix AWS misconfigurations

GCP Misconfigurations

Your data needs highest level of protection. Cloudanix can provide that to you.

Cloudanix GCP misconfigurations

Not just AWS and GCP, We support many more!

The easy part of misconfiguration is that you can learn about them with minimal effort, especially with continuous cloud security posture management in place.

Configuration drift, monitored continuously

When conducting continuous audits for public cloud, consider these four key steps

Discover

Continuous audits automatically map out and visualize your multi-cloud to identify all data stores and resources and monitor them from time to time.

Classify

Bucket them to prioritize, escalate, educate and effort estimate. This helps with visibility and cross-functional teams’ buy-in.

Lock it down

Collaborate and agree on how to fix issues to mitigate the risks. Build and spread the culture to follow the “agree steps/ practices” to secure the future.

Protect

Continual audits will enable you to monitor your cloud environment, detect any changes in your cloud, and remediate the risk in real-time when your security baseline is drifting. Cloudanix is built for this reason which takes the burden off your shoulder and does continuous auditing of your Cloud environments.

2026 update — the four steps above still hold; here is how each maps to today’s practice and tooling.

• Discover — in 2026, discovery must include the resources that barely existed in 2022: serverless functions, containers and Kubernetes clusters, managed data services, and especially non-human and machine identities (roles, service accounts, and now AI-agent credentials), which often outnumber human users many times over. You cannot audit what you have not discovered, and modern environments create resources automatically, so discovery has to be continuous, not a one-time inventory.
• Classify — prioritize by real business risk, not raw severity. This is where attack-path analysis earns its place: a “medium” finding on an internet-facing resource that leads to sensitive data outranks a “high” finding on an isolated test box. Contextual severity beats flat per-rule severity.
• Lock it down — codify the fix so it stays fixed. Wherever possible, remediate through infrastructure-as-code and guardrails (Service Control Policies, AWS Config auto-remediation, policy-as-code with OPA or Kyverno) so the same misconfiguration cannot silently reappear.
• Protect — combine posture auditing with runtime detection (GuardDuty and eBPF-based tools) so you catch both the misconfiguration and active exploitation. Continuous auditing and threat detection are complementary, not alternatives.

Solutions to roadblocks in cloud security

Conclusion

The demand for cloud computing audits has grown as users realize that data hosted by other organizations carries certain risks. As a result, they are requesting various forms of cloud computing audits to gain assurance and reduce the risk of their information being lost or hacked.

Cloud computing audits come in different forms, such as SOC 1 & SOC 2 reporting, HITRUST, PCI, and FedRAMP. Depending on your requirements, one of these should meet your audit necessities.

2026 update — the list of audit frameworks has grown, and “continuous” is now an expectation, not a differentiator. Alongside SOC 2, HITRUST, PCI DSS, and FedRAMP, most organizations in 2026 also have to account for newer or updated regimes: the EU’s NIS2 and DORA (for financial entities), India’s DPDP Act, the updated ISO/IEC 27001:2022, and NIST Cybersecurity Framework 2.0. Two shifts are worth internalizing. First, several of these frameworks now carry short, hard incident-reporting deadlines (for example, DORA and NIS2 measure initial notification in hours), which is impossible to meet without continuous monitoring already in place. Second, auditors increasingly expect evidence that controls operated continuously across the audit period, not a single point-in-time snapshot — which is the entire argument of this article. Continuous auditing has moved from “nice to have” to the baseline that modern compliance assumes.

Audit and Compliance at one place

Cloudanix has curated a plan that can cover all of your audit and compliance needs

People Also Read

• Configuration Drift Management: How to Detect Cloud Drift Before It Becomes an Incident
• Understanding AWS Cloud Compliance
• A Definitive List Of Various Compliance Standards And What They Mean
• Various Tools From AWS Which Help You With Compliance
• As A Cloud User, Should I Be Worried About Cloud Compliance?
• How to use CSPM to detect and remediate cloud misconfigurations
• Top 10 Challenges of Cloud Security Posture Management
• All You Need To Know About AWS CloudTrail
• Best Practices For AWS CloudTrail