Moving your infrastructure to the cloud changes everything about security. You’re no longer just protecting servers in your data center—you’re managing distributed resources across multiple regions, dealing with shared responsibility models, and configuring services that can be exposed to the internet with a single misconfiguration.
A cloud security audit gives you a clear picture of where you stand. It’s a systematic review of your cloud infrastructure, policies, and controls to identify vulnerabilities, verify compliance, and make sure your security measures actually work.
What are the different types of cloud security audits?
Different audits serve different purposes in your security program.
- Compliance audits verify you're meeting specific regulatory or industry standards. These follow established frameworks like the NIST cloud security audit checklist or assess controls against PCI DSS requirements. You'll need these for certifications and regulatory reporting.
- Configuration audits examine how your cloud resources are set up. They identify misconfigurations like publicly accessible databases, weak encryption settings, or disabled security features. Cloud network security audits fall into this category, checking security groups, network ACLs, VPCs, and traffic segmentation.
- Identity audits focus exclusively on access controls. Cloud security platforms identity audits benefits include finding excessive permissions, identifying dormant accounts, verifying multi-factor authentication implementation, and ensuring least-privilege access. Given that identity is the primary attack vector in cloud environments, these specialized audits are increasingly important.
- Third-party audits bring in external assessors to independently evaluate your environment. These provide unbiased validation and are often required for customer assurance or certifications.
Which frameworks should guide your cloud security audit?
You don’t need to create an audit methodology from scratch. Established frameworks provide proven approaches.
The NIST Cybersecurity Framework offers comprehensive guidance for cloud environments. The NIST cloud security audit checklist covers risk assessment, continuous monitoring, and incident response tailored to cloud deployments.
ISO/IEC 27017 and 27018 extend the ISO 27001 standard specifically for cloud services. They address cloud provider controls and protection of personally identifiable information in public cloud environments.
CSA STAR (Cloud Security Alliance Security, Trust, Assurance and Risk) provides cloud-specific security requirements with certification levels that demonstrate your security maturity to customers and partners.
CIS Controls and CIS Benchmarks give you prescriptive configuration guidance. Separate benchmarks exist for AWS, Azure, and Google Cloud, covering foundational security settings with specific recommendations for each platform.
1. Defining what’s being audited and why
- Every audit starts with context, because the reason behind the audit quietly decides everything that follows. Sometimes it’s driven by compliance deadlines, sometimes by a recent incident, and sometimes simply by the need to understand current risk before it grows.
- Scope naturally forms once intent is clear, as certain cloud platforms, accounts, or regions clearly matter more than others. Production environments usually stand out first, but non-production systems don’t stay out of scope when they connect to shared identities, networks, or real data.
- Clear boundaries prevent confusion later, because without them audits tend to spend time where it feels safe rather than where the actual exposure lives.
- Outsmarting Cloud threats
- Early Detection
- Response Acceleration
- Industry Benchmarks
2. Bringing together the right people
- Audits work best when multiple perspectives are present, since cloud architects understand why things were built a certain way, while security teams see where that design might create risk under pressure.
- Compliance specialists add a different lens, translating technical configurations into control requirements and evidence expectations that matter during formal assessments.
- Access during audits is handled carefully, because reviewing security shouldn’t create new risk. Temporary, limited access keeps the process safe without slowing it down.
3. Establishing what “good” looks like before reviewing anything
- An audit checklist acts more like a mental map than a task list, helping reviewers remember what areas matter without turning the process mechanical.
- Identity, data, network, workloads, and logging naturally surface, because together they define who can access what, from where, and whether anyone would notice if something went wrong.
- Compliance controls tie everything together, ensuring that what exists in the environment can be explained, evidenced, and defended later if required.
4. Running the audit in practice
- Automated scans usually come first, because they quickly reveal obvious misconfigurations, missing controls, and forgotten resources across large environments.
- Manual review fills the gaps automation can’t judge, especially when policies are custom, architectures are complex, or exceptions exist for business reasons.
- Conversations matter as much as dashboards, since understanding why something exists often explains whether it’s acceptable risk or technical debt waiting to surface.
5. Capturing findings in a way that actually helps
- Findings are documented as stories, not just issues, connecting the configuration, the affected resource, and the potential business impact.
- Evidence builds confidence, whether it’s screenshots, configuration exports, or logs, because it allows others to verify conclusions instead of trusting assumptions.
- Clear severity prevents overreaction, helping teams focus on what truly needs attention first.
6. Making sense of what was found
- Patterns matter more than individual issues, because repeated findings often point to process gaps rather than isolated mistakes.
- Risk becomes clearer when tied to impact, such as exposed data, excessive access, or missing visibility in production environments.
- Compliance implications quietly raise priority, since some findings directly affect certifications or regulatory obligations.
7. Turning findings into a realistic remediation plan
- Remediation planning balances urgency with reality, recognizing that some fixes are quick configuration changes while others require design changes or approvals.
- Ownership keeps fixes from stalling, because unclear responsibility is one of the most common reasons issues remain unresolved.
- Grouping similar issues reduces friction, especially for IAM or network changes that are easier to fix together than one at a time.
8. Fixing issues and confirming they stay fixed
- Changes are usually tested before going live, reducing the risk of breaking production while improving security.
- Verification matters as much as remediation, because audits often rediscover issues that were “fixed” once but quietly returned later.
- Continuous monitoring acts as a safety net, catching drift before it becomes another audit finding.
9. Preserving the audit as a long-term asset
- Documentation becomes more valuable over time, serving compliance needs, supporting leadership conversations, and shortening future audits.
- Audit history reveals maturity, showing whether findings decrease, remediation speeds improve, and controls become more consistent.
- Well-run audits stop feeling like events, gradually becoming part of how cloud security is understood and maintained rather than something feared once a year.
How can you automate cloud security audits?
Manual audits simply can’t keep up with how fast cloud environments change. When teams deploy new resources multiple times a day, a quarterly audit only shows you what went wrong months ago long after the damage could already be done.
Automated cloud security audits flip that model. Instead of occasional snapshots, you get continuous visibility. Misconfigurations are detected within minutes, audits scale across thousands of resources without adding people, and evidence is collected automatically—without human error.
1. Scan infrastructure-as-code before anything goes live
The easiest problems to fix are the ones that never make it to production.
By scanning Terraform, CloudFormation, or ARM templates during pull requests, you catch security issues before resources even exist. This is a classic “shift-left” move.
Example:
A developer writes a Terraform file that creates an S3 bucket without encryption. The code scanner flags it during PR review. The bucket never gets deployed, and you never have to explain the issue to an auditor later.
If you stop insecure configurations at the code level, you spend far less time cleaning up later.
2. Use CSPM for continuous compliance checks
Cloud Security Posture Management (CSPM) tools continuously compare your environment against compliance requirements.
Example:
You’re maintaining PCI DSS compliance. A security group gets modified to allow wider access than permitted. Within minutes, the CSPM tool flags the exact resource, the exact control it violates, and how to fix it.
That’s a big shift from discovering the same issue during an annual audit—after it’s been live for months.
3. Automate fixes for common misconfigurations
Some issues don’t need debate. They just need to be fixed.
If a storage bucket is created without encryption, turn encryption on automatically. If SSH is opened to the internet, revert it immediately.
Example:
Someone opens port 22 to 0.0.0.0/0 for quick testing and forgets to close it. An automated rule detects the change and rolls it back to approved IP ranges without waiting for human review.
Once you define the “correct” state, automation keeps your environment there.
4. Generate audit evidence automatically
The worst part of audits is scrambling for evidence.
Instead of manually collecting screenshots and exports, set up workflows that gather and store audit data continuously.
Example:
A scheduled job exports IAM policies, security group rules, encryption settings, and access logs into a central repository. When auditors ask for proof, you already have months of documented evidence ready.
This turns audits from a fire drill into a formality.
What are the most common cloud security audit findings?
Most audits surface the same problems again and again. Knowing them upfront helps you prevent them.
1. Overly permissive IAM permissions
This is almost guaranteed to show up.
Someone needs access to one resource and gets access to everything because it’s faster. Over time, permissions pile up and never get removed.
Why it matters:
If those credentials are compromised, attackers inherit all that power.
What to do:
Start with least privilege. Review access regularly. Use tools that compare granted permissions to actual usage and remove what isn’t needed.
2. Missing or incomplete logging
If something goes wrong and you don’t have logs, you’re blind.
CloudTrail disabled in some regions, VPC Flow Logs turned off, or logs retained for too short a time—these gaps prevent investigations.
Example:
You discover unauthorized database access but can’t tell how it happened or what data was touched because logs were missing.
What to do:
Enable logging everywhere. Centralize logs. Set retention based on compliance needs. Regularly verify that logs are actually being collected.
3. Unencrypted data at rest or in transit
This usually isn’t malicious—it’s forgotten.
Databases get launched with default settings. Applications use HTTP instead of HTTPS. Encryption keys are stored next to encrypted data.
Why it matters:
If storage or backups are exposed, the data is immediately readable.
What to do:
Encrypt everything by default. Enforce modern TLS. Use proper key management services and audit encryption regularly.
4. Network exposure through misconfigurations
Open network access is one of the fastest ways to get breached.
Common example:
A database port is opened to the internet for testing and never closed. Production systems stay exposed without anyone realizing it.
What to do:
Limit access to specific IPs or security groups. Review rules regularly. Alert on any rule that allows broad access.
5. No MFA on privileged accounts
This is one of the highest-risk gaps.
Root accounts, global admins, or powerful service accounts often rely on passwords alone.
Why it matters:
If credentials are stolen, attackers get instant access.
What to do:
Require MFA for all privileged accounts—no exceptions. Use strong methods like authenticator apps or hardware keys. Audit MFA enrollment regularly.
Why identity audits matter so much in the cloud
In the cloud, identity is the perimeter.
Most breaches don’t start with zero-day exploits. They start with stolen credentials or over-privileged accounts.
- Spot compromised credentials early
Identity audits learn what “normal” looks like.
If a user or service account suddenly behaves differently—wrong region, wrong time, wrong volume of activity—it’s flagged.
Example:
A service account that runs hourly suddenly makes thousands of API calls. That’s usually not normal—and it’s often the first sign of compromise. - Find dormant accounts before attackers do
Unused accounts are easy targets.
Former employees, old service accounts, forgotten contractors—many still have access long after they stop being used.
What to do:
Identify accounts with no recent activity and disable or delete them. Every removed account reduces risk. - Right-size excessive permissions
Identity audits show what permissions are granted versus what’s actually used.
Example:
A Lambda function has full database access but only touches two tables. Everything else can be removed safely.
This dramatically limits damage if credentials are compromised. - Validate segregation of duties
Compliance often requires separating certain actions.
Identity audits catch cases where one person can both deploy changes and approve them—or disable logging and access data.
These conflicts either need justification or immediate remediation. - Control service account sprawl
Service accounts are often the most over-privileged and least reviewed.
They run continuously, use long-lived credentials, and are rarely monitored closely.
Identity audits help you reduce their permissions to exactly what they need—nothing more.
How do you maintain continuous compliance?
Compliance only works if it’s ongoing.
- Monitor compliance continuously
Instead of waiting for audits, monitor controls in real time.
Example:
A new database is created without encryption. You get alerted immediately, fix it the same day, and move on—rather than finding it months later.
Your compliance dashboard reflects now, not last quarter. - Align audit frequency with risk
Not every environment needs the same cadence.- High-risk systems need frequent reviews. Lower-risk systems can be audited less often—but still monitored continuously in between.
- Formal audits then validate controls instead of discovering basic gaps.
- Turn findings into prevention
Every finding should lead to a permanent fix.- If the same issue keeps appearing, the problem isn’t the audit—it’s the process.
- Update templates, policies, training, or automation so the issue can’t happen again.
- Track progress with real metrics
Compliance improves when you measure it.
Track:- Number of critical findings
- Time to remediation
- Percentage of compliant resources
Want to see how this works in a real environment?
Schedule a demo to explore how Fidelis Security helps teams detect threats, investigate incidents, and reduce risk across complex cloud and hybrid infrastructures
See why security teams trust Fidelis to:
- Cut threat detection time by 9x
- Simplify security operations
- Provide unmatched visibility and control
