Drata holds a narrow edge over Vanta, with both platforms frequently paired together when discussions focus on centralizing evidence and continuous monitoring. When buyers evaluate which baseline tools to implement first to satisfy auditor expectations, no single platform emerges as the consensus choice.
To streamline this, you can leverage three layers of tooling and approaches: dedicated Compliance Automation (GRC) platforms, cloud-native security posture management, and infrastructure-as-code (IaC) guardrails.
These platforms integrate directly with your cloud providers (AWS, GCP, Azure), identity providers (Okta, Google Workspace), code repositories (GitHub, GitLab), and HR tools to continuously collect evidence and check control health.[](https://safeguard.sh/resources/blog/best-soc-2-compliance-automation-tools)
If your infrastructure sits heavily within a specific cloud vendor, you can use native security posture tools to automatically audit configurations against compliance benchmarks (like CIS foundations or NIST):
Shift compliance left by enforcing rules before resources are even deployed to your cloud environment:
Automating SOC 2 compliance for cloud infrastructure
The best approach is to treat SOC 2 as a continuous engineering process, not a once-a-year audit project. You can automate much of the evidence collection, cloud security monitoring, policy enforcement, and audit preparation while keeping humans responsible for risk decisions, control reviews, and approvals.
I recommend combining a SOC 2 compliance automation platform with native cloud security tools and policy-as-code checks in your deployment pipeline.
1. Tools worth evaluating
Vanta
Best to evaluate if you want a centralized compliance workflow with minimal manual administration. Look for integrations with your cloud provider, identity provider, source control, HR systems, and ticketing tools.
Use for: evidence collection, control monitoring, audit readiness.
A strong candidate for teams that want centralized control mapping, automated evidence collection, policy management, and continuous compliance monitoring.
Use for: continuous monitoring, evidence workflows, audit collaboration.
Best for engineering teams that want to prevent insecure infrastructure from being deployed in the first place. OPA can evaluate Terraform plans against policies before changes are applied.
Use for: preventive guardrails, CI/CD enforcement, infrastructure policy testing.
The tools are only part of the solution. The real gains come from automating individual controls and connecting them to reliable evidence.
Cloud configuration monitoring
Continuously check encryption, public exposure, network rules, logging, backup configuration, and cloud resource inventory. Alert on drift from your approved baseline.
Scan Terraform plans before deployment. Block critical policy violations, such as public database exposure or unencrypted storage, and require documented exceptions when appropriate.
Evidence collection and retention
Automatically gather configuration snapshots, access-review records, deployment logs, incident records, vulnerability reports, and change approvals. Associate each item with its relevant SOC 2 control.
Remediation and notifications
Send failing checks to Jira or your ticketing system, assign an owner, set a deadline based on severity, and escalate overdue items. Keep the remediation and verification history for the audit trail.
3. A reference architecture for continuous compliance
A key design principle: detect problems in real time, collect evidence continuously, and preserve proof of how problems were resolved. A green dashboard alone is not proof that every SOC 2 control is operating effectively.
4. A phased implementation plan
Phase 1 — Scope and baseline (week 1)
Identify the systems, cloud accounts, applications, and Trust Services Criteria in scope. Inventory your existing controls, assign owners, and document gaps.
Phase 2 — Connect your systems (weeks 1–2)
Integrate the compliance platform with cloud accounts, source control, identity, HR, endpoint security, and ticketing. Review the permissions requested by every integration.
Start with MFA, least privilege, encryption, logging, vulnerability management, change management, and offboarding. Add policy-as-code checks to your deployment pipeline.
Phase 4 — Automate evidence and remediation (weeks 3–6)
Schedule evidence collection, create tickets for failed controls, establish escalation rules, and retain timestamped records of fixes and approvals.
Phase 5 — Validate with your auditor
Review evidence completeness, test control operation, resolve gaps, and confirm the reporting period and audit scope with your auditor. Automation can accelerate readiness but cannot guarantee a successful audit.
These are suggested implementation windows, not guaranteed certification timelines; the actual effort depends on your starting maturity and audit scope.
5. Important cloud-specific consideration
If you're on AWS, be careful about choosing AWS Audit Manager as the foundation for a new deployment. AWS announced that it stopped accepting new customers on April 30, 2026. Existing customers can continue using supported existing deployments, but new organizations should evaluate alternatives.
For AWS environments, a third-party compliance platform paired with preventive infrastructure-as-code controls is a reasonable starting point. For Azure or GCP, evaluate the equivalent native security and evidence integrations before deciding whether you need a separate compliance platform.
6. Let's narrow this down to your environment
The right architecture depends on your cloud provider, existing tooling, and how much engineering work you want to own.
Which cloud infrastructure do you use?
AWS
Microsoft Azure
Google Cloud Platform
Multi-cloud / hybrid
Where are you in the SOC 2 process?
Preparing for our first audit
Already SOC 2 compliant; reducing ongoing work
Have tools but still collect evidence manually
How do you provision infrastructure?
Terraform / OpenTofu
Cloud-native tools (CloudFormation, Bicep, etc.)
Kubernetes / GitOps
Mostly console-based or custom scripts
What approach do you prefer?
Mostly managed SaaS; minimal engineering overhead
Hybrid: compliance platform plus custom automation
Mostly in-house, open-source, and code-driven
Approximate company size
1–10 people
11–50 people
51–200 people
200+ people
[Build my automation plan]
Once those details are clear, the next step is to choose the smallest toolset that automates your highest-effort controls without duplicating capabilities you already have.
These services continuously assess resource configurations against security benchmarks and map directly to control requirements.
Integrate a Compliance Automation (GRC) Platform
Connect specialized third-party platforms (such as Vanta, Secureframe , or [Drata]) to your cloud infrastructure, identity providers (Okta, Google Workspace), and code repositories (GitHub, GitLab).
These platforms automatically run hundreds of daily tests, check configurations, and flag drift or gaps in real time.
Automate Infrastructure as Code (IaC) and CI/CD Guardrails
Enforce secure configurations at the development stage using tools like Terraform, CloudFormation , or Pulumi.
Implement policy-as-code guardrails (using tools like OPA/Conftest or Checkov ) in your CI/CD pipelines to block misconfigured resources or unencrypted storage buckets from ever reaching production.
Continuous Evidence Collection for Identity and Access Management (IAM)
Automate user access reviews, multi-factor authentication (MFA) enforcement tracking, and offboarding log aggregation.
Integrating your HR tools and identity providers with your GRC system removes the need to manually screenshot user lists or permission settings for auditors.
Set Up Automated Alerting and Remediation
Configure alerting pipelines (via Slack, PagerDuty , or Jira) so that when a compliance test fails—such as an open security group or a disabled logging service—the responsible team is instantly notified or automated remediation scripts trigger.
If you'd like, let me know:
Which cloud provider(s) your environment is built on (AWS, Azure, GCP, or multi-cloud)
Whether you are currently using a specific GRC tool or starting from scratch
I can provide a more tailored roadmap or specific control-mapping strategies for your setup.
How to automate SOC 2 compliance in your cloud environment
The most effective way to automate SOC 2 is to build compliance into your cloud infrastructure, CI/CD pipelines, identity systems, and monitoring workflows—so evidence is collected continuously rather than assembled manually before an audit.
For a cloud-native organization, I recommend a combination of infrastructure-as-code guardrails, automated security monitoring, continuous evidence collection, and ticket-driven remediation.
SOC 2 is an attestation framework, not a certification you can obtain simply by passing an automated scan. Automation helps you operate controls consistently and demonstrate that they work; your auditor still evaluates your control design and operation.
1. Identify what to automate first
Cloud security configuration
Continuously check for public storage buckets, overly permissive firewall rules, unencrypted databases, missing audit logging, and configuration drift.
Yes. There are several platforms that automate SOC 2 compliance specifically for cloud infrastructure, including tools that continuously monitor AWS, Azure, and Google Cloud for misconfigurations, collect audit evidence, and flag security-control failures before an audit.
The key distinction is between general SOC 2 automation platforms and cloud-native security and compliance platforms. The first automate the overall audit workflow; the second go deeper into cloud infrastructure, configuration drift, IAM permissions, networking, encryption, and workloads.
Platforms worth evaluating
1. Prowler
(Best for infrastructure-first compliance)
A cloud-security-focused platform for scanning AWS, Azure, and GCP, mapping technical findings to SOC 2 controls, and exporting compliance evidence. It also has an open-source engine and self-hosting options.
Best for: DevSecOps teams, multi-cloud environments, and engineering-led compliance.
A broader compliance automation platform with cloud integrations, continuous control monitoring, automated evidence collection, and remediation guidance. It connects infrastructure compliance to identity, code repositories, devices, and other business systems.
Best for: Startups seeking an end-to-end path to SOC 2 with less manual coordination.
Automates evidence collection and control monitoring across cloud infrastructure, identity systems, HR systems, and developer tools. It also centralizes audit workflows and auditor collaboration.
Best for: Teams wanting centralized compliance operations and recurring audit readiness.
Focuses more on deep cloud security than end-to-end audit administration. It identifies cloud misconfigurations, risky permissions, exposed workloads, and infrastructure-as-code issues, with contextual prioritization and compliance reporting.
Best for: Larger or more complex cloud estates where infrastructure risk reduction is a priority.
High-level comparison; exact integrations and features depend on product editions.
What should you choose?
If your main goal is to automate cloud infrastructure compliance: Start with Prowler.
If you want to get a startup through SOC 2 with minimal manual work: Compare Vanta and Drata.
If you already have a compliance platform but need deeper cloud security visibility: Evaluate Wiz alongside Prowler.
One important caveat: none of these platforms automatically makes your organization SOC 2 compliant in its entirety. They can automate technical checks and evidence gathering, but policies, employee processes, control ownership, and the independent auditor's examination still matter.
One question to narrow this down
Are you primarily looking to automate compliance for:
1. Your cloud environment
AWS
Microsoft Azure
Google Cloud
Multi-cloud / Kubernetes
2. What do you want to automate?
Infrastructure checks, configuration drift, and remediation
Yes, there are several specialized compliance automation and GRC (Governance, Risk, and Compliance) platforms designed to streamline and automate the SOC 2 compliance process. Many of these tools feature deep native integrations with cloud infrastructure providers (like AWS, Azure, and Google Cloud) to continuously monitor technical controls and automatically collect audit evidence.[](https://blog.n8n.io/soc-2-compliance-automation/)[[2](https://cyscale.com/use-cases/soc-2)](https://cyscale.com/use-cases/soc-2/)
Leading platforms that specialize in or heavily feature cloud-infrastructure automation for SOC 2 include:
If you'd like, let me know:
I can help narrow down which platform fits your tech stack and company stage best.
A practical architecture connects your cloud provider, code repositories, identity systems, and compliance platform to a central evidence and remediation workflow.
AWS Security Hub CSPM and AWS Config for security findings and resource configuration checks.
Microsoft Azure
Azure Policy and Microsoft Defender for Cloud for configuration governance and security posture monitoring.
Google Cloud
Security Command Center for vulnerability detection, misconfiguration findings, and security posture monitoring.
For AWS, for example, Security Hub findings can trigger event-driven workflows to notify a security team, open a ticket, or initiate a predefined remediation action.
3. Automate the evidence collection process
Cloud controls alone won't cover all SOC 2 requirements. You'll also need evidence from HR, engineering, endpoint management, and operational processes.
Here are useful automation workflows to implement:
Employee onboarding and offboarding
Trigger account provisioning from approved HR events.
Require MFA and approved access roles.
Automatically disable accounts when employment ends.
Retain timestamps and execution logs as evidence.
Change management
Require pull requests and appropriate approvals.
Record the author, reviewer, commit, and deployment result.
Prevent unauthorized production changes.
Link deployment records to the approved change.
Vulnerability and incident response
Ingest scanner and cloud-security findings.
Assign severity-based remediation deadlines.
Escalate overdue critical issues.
Preserve incident timelines, investigation notes, and closure approvals.
Backups and availability
Monitor backup job success and failures.
Schedule restore tests and record results.
Alert on missed recovery objectives.
Preserve disaster recovery test evidence.
For evidence management, platforms such as Vanta and Drata offer integrations for cloud infrastructure, identity providers, HR systems, version control, and ticketing.
Evaluate integrations against your actual stack before choosing a platform; a connector doesn't necessarily automate every control or supply every piece of evidence your auditor requires.
4. Put continuous checks into your CI/CD pipeline
One of the highest-value improvements is to stop noncompliant infrastructure from reaching production.
For example, a Terraform deployment pipeline could follow this sequence:
mermaid
flowchart TD
A[Developer opens pull request] --> B[Run Terraform validation]
B --> C[Scan IaC security policies]
C --> D{Policy checks pass?}
D -- No --> E[Block merge and notify owner]
D -- Yes --> F[Require authorized review]
F --> G[Deploy through approved pipeline]
G --> H[Record deployment evidence]
H --> I[Continuously monitor live resources]
I --> J{Configuration drift?}
J -- Yes --> K[Open ticket or trigger safe remediation]
J -- No --> I
Tools such as Checkov or tfsec (now maintained as part of Trivy) can help detect risky infrastructure definitions before deployment.
Start by blocking high-confidence, high-impact violations, such as public access to sensitive storage or unrestricted administrative ingress. Add exceptions only through a documented approval process.
Important: A passing pipeline is evidence of a preventive control, but it doesn't prove that every production resource remains compliant. You also need continuous checks against the deployed environment.
5. Create an evidence and remediation standard
Every automated control should have a consistent record that explains what was tested and what happened.
A useful minimum evidence schema is:
Field
Example
Control ID
CC6 — logical access control
Test
MFA enabled for privileged users
Resource or scope
Production cloud accounts
Result
Pass or fail
Timestamp
UTC execution time
Evidence location
Immutable or access-controlled record
Owner
Identity and access team
Exception
Approved exception ID and expiry
Remediation
Ticket ID, resolution, and verification
Use the actual control mapping approved for your SOC 2 engagement; the example ID above is illustrative, not a complete authoritative mapping.
Evidence should be access-controlled, retained according to your audit and security policies, and protected against unnoticed alteration. Avoid treating a dashboard screenshot or a current pass/fail status as sufficient evidence of historical control operation.
For a Type II examination in particular, you need evidence that controls operated throughout the defined audit period, not just on the day you ran a scan.
6. A practical 30-day implementation plan
Days 1–7
Scope and inventory
Identify in-scope cloud accounts, services, and data.
Map existing controls to SOC 2 requirements.
Assign control owners and select an evidence repository.
Days 8–14
Connect and monitor
Integrate cloud, identity, source control, HR, and ticketing.
Enable cloud audit logs and security configuration checks.
Establish the baseline and resolve critical gaps.
Days 15–21
Automate workflows
Implement CI/CD security gates.
Set up evidence collection and remediation tickets.
Automate employee access changes and periodic reviews.
Days 22–30
Validate audit readiness
Test failed-control alerts and remediation workflows.
Verify evidence completeness and timestamps.
Review exceptions, backup tests, access reviews, and change records with control owners.
Ask your auditor to identify any evidence gaps early.
Treat this as an initial implementation target, not a promise that you'll complete SOC 2 in 30 days. Closing control gaps and completing a Type II observation period can take substantially longer.
Evidence freshness: percentage of required evidence collected on schedule.
Control coverage: percentage of in-scope controls with tested, functioning automation.
Remediation time: median time to close critical and high-severity findings.
Access-review completion: percentage completed by the required deadline.
Exception exposure: number of overdue or expired exceptions.
Change-control coverage: percentage of production changes linked to approved records.
A dashboard that says “95% compliant” isn't sufficient on its own. You need to know which controls failed, what they cover, who owns them, and whether the failures were resolved within policy deadlines.
Let's tailor this to your cloud environment
I can turn this into a more concrete implementation plan with specific services, integrations, policy checks, and example automation workflows. Which cloud setup are you using?
