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SOC 2 Type I
Automation
12 min read

SOC 2 in 90 Days: Evidence Automation Checklist

Complete SOC 2 Type I compliance with automated evidence collection using GitHub Actions and Infrastructure as Code. Template-heavy guide with audit-ready workflows.

Published: January 2, 2025

β€’

Updated: January 2, 2025

🎯 Quick Answer

How to automate SOC 2 compliance in 90 days?

**Week 1-4:** Scope audit (identify TSCs), document policies, assign control owners. **Week 5-8:** Implement automated evidence collectionβ€”GitHub Actions for code reviews, Terraform for infrastructure policies, CloudTrail for access logs. **Week 9-10:** Configure monitoring dashboards to detect policy violations real-time. **Week 11-12:** Internal audit, remediate gaps, prepare auditor evidence packages. **Week 13:** Submit for SOC 2 Type I audit. Automate CC6.1 (logical access), CC7.2 (change management), CC8.1 (vulnerability management) with CI/CD workflows to reduce manual evidence by 70-80%. Total cost: $15K-$25K (vs. $50K-$100K manual).

Why SOC 2 Matters (And Why It Takes So Long)

If you're a B2B SaaS company, SOC 2 Type I is no longer optionalβ€”it's table stakes. Enterprise customers won't sign contracts without it. VCs ask about it in due diligence. Partners require it before integrations.

The problem? Traditional SOC 2 takes 6-12 months and costs $50,000-$150,000. Most of that time is spent on manual evidence collection: screenshotting access logs, exporting user lists, documenting change approvals, proving backups ran successfully.

But here's the secret: 90% of SOC 2 evidence can be automated. Using GitHub Actions, Terraform, and Infrastructure as Code, you can collect audit-ready evidence continuously, reduce audit prep from months to days, and achieve SOC 2 Type I in 90 days.

What You'll Get From This Guide
  • 90-Day Roadmap broken into 3 phases: Foundations (Days 1-30), Automation (Days 31-60), Audit Prep (Days 61-90)
  • GitHub Actions Templates for automated evidence collection across all 5 Trust Service Criteria
  • Terraform Policies for infrastructure compliance (CC6.1, CC6.6, CC7.2)
  • Evidence Matrix mapping every TSC control to automation scripts
  • Audit Artifacts that auditors actually want to see

Understanding SOC 2: The 5 Trust Service Criteria

SOC 2 is organized around 5 Trust Service Criteria (TSC), each with specific control objectives:

CC1: Control Environment (Security)

Governance, policies, background checks, training. Proves you have a security-conscious culture.

Evidence: Policy documents, training completion records, background check confirmations, org chart

CC2-CC5: Risk Assessment, Monitoring, SDLC

Change management, risk assessments, monitoring systems, code review processes.

Evidence: GitHub PR approvals, CI/CD logs, vulnerability scan reports, monitoring dashboards

CC6: Logical & Physical Access (Most Automation-Friendly)

User provisioning, MFA, least privilege, access reviews, system access logs.

Evidence: IAM policies, access logs, MFA enforcement reports, quarterly access reviews

CC7: System Operations

Backups, encryption, patching, infrastructure management, capacity planning.

Evidence: Backup test logs, encryption config, patch management reports, infrastructure change logs

CC8: Change Management

Infrastructure changes require approval, testing, rollback plans.

Evidence: Terraform plan approvals, deployment logs with approvers, rollback documentation

The 90-Day Roadmap

Phase 1: Foundations (Days 1-30)

Goal: Establish baseline security controls and documentation framework.

Week 1-2: Documentation & Policies
  • Information Security Policy (template from Vanta, Drata, or Secureframe)
  • Access Control Policy (define roles, approval workflows)
  • Incident Response Plan (P0/P1/P2 definitions, escalation paths)
  • Business Continuity Plan (RTO/RPO targets, disaster recovery)
  • Risk Assessment (identify top 10 risks, mitigation plans)
Week 3-4: Baseline Security Controls
  • Enforce MFA on all accounts (Google Workspace, AWS, GitHub, Slack)
  • SSO Implementation (Okta, Google SSO, Azure AD)
  • Endpoint Security (Jamf, Intune, or CrowdStrike for device management)
  • Background Checks for all employees (use Checkr or similar)
  • Security Training (assign to all employees, track completion)

Phase 2: Automation (Days 31-60) β€” This Is Where Magic Happens

Goal: Automate evidence collection for CC6, CC7, and CC8 using GitHub Actions and Infrastructure as Code.

CC6.1: Access Control Automation

# .github/workflows/access-audit.yml name: Quarterly Access Review on: schedule: - cron: '0 0 1 */3 *' # Every quarter workflow_dispatch: jobs: access-audit: runs-on: ubuntu-latest steps: - name: Checkout uses: actions/checkout@v3 - name: Export AWS IAM Users run: | aws iam list-users --output json > evidence/iam-users-${DATE}.json aws iam list-roles --output json > evidence/iam-roles-${DATE}.json env: DATE: $(date +%Y-%m-%d) - name: Export GitHub Org Members run: | gh api orgs/YOUR_ORG/members --paginate > evidence/github-members-${DATE}.json gh api orgs/YOUR_ORG/teams --paginate > evidence/github-teams-${DATE}.json env: GH_TOKEN: ${{ secrets.GH_ORG_TOKEN }} - name: Generate Access Review Report run: | python scripts/generate-access-review.py \ --iam-users evidence/iam-users-${DATE}.json \ --github-members evidence/github-members-${DATE}.json \ --output evidence/access-review-${DATE}.pdf - name: Upload to S3 Compliance Bucket run: | aws s3 cp evidence/ s3://compliance-evidence/access-reviews/${DATE}/ --recursive - name: Create GitHub Issue for Review run: | gh issue create \ --title "Q${QUARTER} Access Review Required" \ --body "Access review artifacts generated. Review in 7 days: s3://compliance-evidence/access-reviews/${DATE}/" \ --assignee @security-team \ --label "compliance,access-review"

Audit Evidence Generated: Timestamped user lists, role assignments, quarterly review artifacts with approver sign-offs

CC7.2: Encryption & Data Protection

# Terraform: Enforce Encryption Everywhere # terraform/policies/encryption.rego (Open Policy Agent) package terraform.encryption deny[msg] { resource := input.resource_changes[_] resource.type == "aws_s3_bucket" not resource.change.after.server_side_encryption_configuration msg := sprintf("S3 bucket '%s' must have encryption enabled", [resource.name]) } deny[msg] { resource := input.resource_changes[_] resource.type == "aws_db_instance" resource.change.after.storage_encrypted == false msg := sprintf("RDS instance '%s' must have encryption at rest", [resource.name]) } deny[msg] { resource := input.resource_changes[_] resource.type == "aws_ebs_volume" resource.change.after.encrypted == false msg := sprintf("EBS volume '%s' must be encrypted", [resource.name]) } # Evidence: Every Terraform plan that passes = proof of encryption enforcement

# .github/workflows/encryption-validation.yml name: Monthly Encryption Audit on: schedule: - cron: '0 0 1 * *' # Monthly jobs: validate-encryption: runs-on: ubuntu-latest steps: - name: Check S3 Bucket Encryption run: | aws s3api list-buckets --query 'Buckets[*].Name' --output text | \ while read bucket; do encryption=$(aws s3api get-bucket-encryption --bucket $bucket 2>&1) if [[ $encryption == *"ServerSideEncryptionConfigurationNotFoundError"* ]]; then echo "FAIL: $bucket - No encryption configured" exit 1 else echo "PASS: $bucket - Encryption enabled" fi done > evidence/s3-encryption-${DATE}.log - name: Check RDS Encryption run: | aws rds describe-db-instances --query 'DBInstances[*].[DBInstanceIdentifier,StorageEncrypted]' --output text > evidence/rds-encryption-${DATE}.log - name: Upload Evidence run: aws s3 cp evidence/ s3://compliance-evidence/encryption/${DATE}/ --recursive

CC8.1: Change Management & Approvals

# .github/workflows/terraform-approval.yml name: Terraform Change Approval on: pull_request: paths: - 'terraform/**' jobs: plan: runs-on: ubuntu-latest steps: - name: Checkout uses: actions/checkout@v3 - name: Terraform Plan run: | cd terraform terraform init terraform plan -out=tfplan.binary terraform show -json tfplan.binary > tfplan.json - name: Run OPA Policy Check run: | conftest test tfplan.json --policy terraform/policies/ - name: Post Plan to PR uses: actions/github-script@v6 with: script: | const fs = require('fs'); const plan = fs.readFileSync('terraform/tfplan.json', 'utf8'); github.rest.issues.createComment({ issue_number: context.issue.number, owner: context.repo.owner, repo: context.repo.repo, body: \`## Terraform Plan\n\n\${plan}\n\n**Required Approvals:** 2 from @platform-team\` }); - name: Require Approvals uses: hmarr/auto-approve-action@v2 with: review-message: "Auto-approved for compliance tracking" # Evidence: PR with Terraform plan + 2 approvals + merged commit = audit trail

CC7.3: Backup Validation

# .github/workflows/backup-test.yml name: Weekly Backup Restoration Test on: schedule: - cron: '0 2 * * 0' # Every Sunday at 2am jobs: test-backup: runs-on: ubuntu-latest steps: - name: Get Latest RDS Snapshot run: | SNAPSHOT=$(aws rds describe-db-snapshots \ --db-instance-identifier prod-db \ --query 'DBSnapshots[0].DBSnapshotIdentifier' \ --output text) echo "SNAPSHOT_ID=$SNAPSHOT" >> $GITHUB_ENV - name: Restore Snapshot to Test Instance run: | aws rds restore-db-instance-from-db-snapshot \ --db-instance-identifier backup-test-${DATE} \ --db-snapshot-identifier $SNAPSHOT_ID \ --db-instance-class db.t3.small - name: Wait for Instance Ready run: | aws rds wait db-instance-available \ --db-instance-identifier backup-test-${DATE} - name: Run Data Integrity Check run: | python scripts/verify-backup-integrity.py \ --instance backup-test-${DATE} \ --output evidence/backup-test-${DATE}.json - name: Cleanup Test Instance run: | aws rds delete-db-instance \ --db-instance-identifier backup-test-${DATE} \ --skip-final-snapshot - name: Upload Evidence run: aws s3 cp evidence/backup-test-${DATE}.json s3://compliance-evidence/backups/ # Evidence: Weekly backup restoration logs proving RPO/RTO capability

Phase 3: Audit Preparation (Days 61-90)

Goal: Package all evidence, select auditor, complete audit fieldwork.

Week 9-10: Evidence Aggregation
  • Create Evidence Portal (S3 bucket with signed URLs or Drata/Vanta)
  • Map Evidence to Controls (use the matrix below)
  • Fill Gaps (identify missing evidence, collect manually if needed)
  • Prepare Narratives (written explanations for each TSC control)
Week 11-12: Auditor Engagement
  • Select Auditor (A-LIGN, Deloitte, Prescient Assurance, Sensiba - $15k-$30k for Type I)
  • Kick-off Meeting (scope, timeline, evidence format preferences)
  • Respond to Information Requests (IRs - usually 50-100 questions)
  • Fieldwork (auditor reviews evidence, may request clarifications)
  • Draft Report Review (address any findings before final report)
Week 13: Final Report & Delivery
  • Receive SOC 2 Type I Report (PDF, typically 40-60 pages)
  • Share with Customers (via secure portal or NDA)
  • Plan for Type II (requires 6+ months of continuous evidence for Type II audit)

Evidence Collection Matrix

This matrix maps every SOC 2 control to automated evidence sources. Use it as your checklist:

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚ Control β”‚ Requirement β”‚ Evidence Source β”‚ Frequency β”‚ β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€ β”‚ CC6.1 β”‚ Access provisioning β”‚ GitHub: access-audit.yml β”‚ Quarterly β”‚ β”‚ CC6.1 β”‚ MFA enforcement β”‚ Okta admin logs β”‚ Weekly snapshot β”‚ β”‚ CC6.2 β”‚ User onboarding/offboarding β”‚ GitHub: user-lifecycle.yml β”‚ On event β”‚ β”‚ CC6.6 β”‚ Access reviews β”‚ GitHub: access-review.yml + Issues β”‚ Quarterly β”‚ β”‚ CC7.2 β”‚ Encryption at rest β”‚ GitHub: encryption-validation.yml β”‚ Monthly β”‚ β”‚ CC7.2 β”‚ Encryption in transit β”‚ Terraform: tls-policy.rego β”‚ On every deploy β”‚ β”‚ CC7.3 β”‚ Backup execution β”‚ AWS Backup job logs β”‚ Daily β”‚ β”‚ CC7.3 β”‚ Backup restoration testing β”‚ GitHub: backup-test.yml β”‚ Weekly β”‚ β”‚ CC7.4 β”‚ Patch management β”‚ GitHub: patch-audit.yml β”‚ Monthly β”‚ β”‚ CC8.1 β”‚ Infrastructure changes β”‚ Terraform plan + PR approvals β”‚ On every change β”‚ β”‚ CC8.1 β”‚ Application code changes β”‚ GitHub PR approvals (2+ reviewers) β”‚ On every deploy β”‚ β”‚ CC8.1 β”‚ Rollback capability β”‚ ArgoCD deployment history β”‚ Continuous β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Additional Automation Templates

Vulnerability Scanning (CC7.1)

# .github/workflows/vulnerability-scan.yml name: Weekly Vulnerability Scan on: schedule: - cron: '0 3 * * 1' # Every Monday at 3am jobs: scan: runs-on: ubuntu-latest steps: - name: Run Trivy Container Scan run: | for image in $(kubectl get pods -A -o jsonpath='{.items[*].spec.containers[*].image}' | tr ' ' '\n' | sort -u); do trivy image --format json --output trivy-${image//\//-}.json $image done - name: Run Dependency Scan run: | npm audit --json > evidence/npm-audit-${DATE}.json pip-audit --format json > evidence/pip-audit-${DATE}.json - name: Upload to Compliance Bucket run: aws s3 cp evidence/ s3://compliance-evidence/vuln-scans/${DATE}/ --recursive - name: Create Issues for Critical Findings run: python scripts/create-vuln-issues.py --input evidence/ --severity CRITICAL,HIGH

Monitoring & Logging (CC7.2)

# terraform/monitoring.tf resource "aws_cloudtrail" "audit_trail" { name = "soc2-audit-trail" s3_bucket_name = aws_s3_bucket.compliance_logs.bucket event_selector { read_write_type = "All" include_management_events = true } insight_selector { insight_type = "ApiCallRateInsight" } # Evidence: CloudTrail logs prove who did what, when (required for CC6.1, CC8.1) } resource "aws_cloudwatch_log_metric_filter" "unauthorized_api_calls" { name = "UnauthorizedAPICalls" log_group_name = aws_cloudwatch_log_group.cloudtrail.name pattern = "{ ($.errorCode = "*UnauthorizedOperation") || ($.errorCode = "AccessDenied*") }" metric_transformation { name = "UnauthorizedAPICalls" namespace = "SOC2/Security" value = "1" } } resource "aws_cloudwatch_metric_alarm" "unauthorized_api_alarm" { alarm_name = "soc2-unauthorized-api-calls" comparison_operator = "GreaterThanThreshold" evaluation_periods = "1" metric_name = "UnauthorizedAPICalls" namespace = "SOC2/Security" period = "300" statistic = "Sum" threshold = "5" alarm_actions = [aws_sns_topic.security_alerts.arn] # Evidence: Alerts prove monitoring is active (CC7.2) }

Cost Breakdown: 90-Day SOC 2

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚ Item β”‚ Cost β”‚ Notes β”‚ β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€ β”‚ SOC 2 Type I Audit β”‚ $15k-$30k β”‚ Depends on auditor, scope β”‚ β”‚ Compliance Platform (Vanta/Drata) β”‚ $2k-$4k/yr β”‚ Optional but helpful β”‚ β”‚ GitHub Actions (automation) β”‚ $0 β”‚ Free for public repos β”‚ β”‚ AWS resources (evidence storage) β”‚ $50-$100/mo β”‚ S3 + CloudTrail logs β”‚ β”‚ Security tooling (MFA, endpoint) β”‚ $2k-$5k/yr β”‚ Okta, CrowdStrike, etc. β”‚ β”‚ **Total (90 days):** β”‚ **$20k-$40k**β”‚ vs $75k-$150k traditional β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Key Savings: By automating evidence collection, you eliminate the need for dedicated compliance personnel during the audit period. Traditional SOC 2 audits often require 1-2 full-time employees for 3-6 months just for evidence gathering.

Common Pitfalls & How to Avoid Them

❌ Pitfall #1: Starting Too Late

Many companies start SOC 2 prep when a customer demands it. By then, you're 6 months away from a signed contract.

βœ… Solution: Start SOC 2 prep when you have your first 10 paying customers or raise a Series Aβ€”whichever comes first.

❌ Pitfall #2: Manual Evidence Collection

Screenshotting AWS console, exporting CSV files manually, emailing evidence to auditorsβ€”this is how SOC 2 takes 9 months.

βœ… Solution: Automate from Day 1. Use the GitHub Actions templates above. Store everything in S3 with timestamps.

❌ Pitfall #3: Over-Engineering

You don't need a custom compliance platform. You don't need to hire a CISO. SOC 2 Type I is achievable with GitHub Actions, Terraform, and a compliance checklist.

βœ… Solution: Use the 80/20 rule. Focus on the 20% of automation that covers 80% of evidence requirements (CC6, CC7, CC8).

What Happens After SOC 2 Type I?

SOC 2 Type I is a point-in-time audit. It proves your controls exist. But enterprise customers will eventually require SOC 2 Type II, which proves your controls work over time (typically 6-12 months).

The good news: If you've automated evidence collection using the workflows above, SOC 2 Type II is just a matter of time. The auditor will review 6-12 months of continuously collected evidence (access reviews, backup tests, vulnerability scans, change approvals). Because it's all automated, Type II requires almost no additional work.

Type I β†’ Type II Timeline
  • Month 1-3: Complete SOC 2 Type I audit
  • Month 4-9: Continuous evidence collection (automated)
  • Month 10-12: SOC 2 Type II audit (auditor reviews 6-9 months of evidence)
  • Month 12+: Annual SOC 2 Type II renewal (mostly automated)

Conclusion: SOC 2 Is Now a Product Engineering Problem

The old way: Hire a compliance consultant, spend 9 months collecting evidence manually, pay $100k+.

The new way: Treat SOC 2 as Infrastructure as Code. Write GitHub Actions workflows, enforce policies with Terraform and OPA, collect evidence continuously. Achieve SOC 2 Type I in 90 days for $20k-$40k.

The ultimate unlock: Once evidence collection is automated, SOC 2 maintenance becomes a background process. Your engineers deploy infrastructure, GitHub Actions collect evidence, auditors review it annually. Compliance becomes a non-blocking constraint on growth.

This is the future of compliance: Automated, developer-centric, and built into your deployment pipeline from Day 1.

Need Help With SOC 2 Automation?

We implement the entire 90-day SOC 2 roadmap for B2B SaaS companies. GitHub Actions templates, Terraform policies, evidence collection automation, and audit prepβ€”all included.

Related Articles

Frequently Asked Questions

Can SOC 2 compliance really be achieved in 90 days?

Yes, for SOC 2 Type I (point-in-time audit) with automated evidence collection. Type I requires proving controls exist at a specific date, not operating over 3-6 months (Type II). With infrastructure-as-code, existing CI/CD, and automated logging, most controls are already partially met. The 90 days covers scoping, documenting policies, implementing automation, internal audit, and auditor review. Type II requires 6-12 months minimum.

What are the most time-consuming SOC 2 controls to automate?

CC6.1 (Logical Access - 25-30 hours): Automating access provisioning/deprovisioning, MFA enforcement, access reviews. CC7.2 (System Development - 20-25 hours): Change management workflows, code review automation, deployment approvals. CC8.1 (Vulnerability Management - 15-20 hours): Automated scanning, patch management, remediation tracking. These three account for 60% of implementation time. Focus automation here for maximum ROI.

What tools are essential for automated SOC 2 compliance?

Core stack: GitHub Actions/GitLab CI (change management evidence), Terraform/Pulumi (infrastructure policies as code), AWS CloudTrail/Azure Activity Log (access logging), SIEM like Datadog/Splunk (monitoring aggregation), vulnerability scanner like Snyk/Aqua (security testing), Vanta/Drata/Secureframe (compliance automation platform). Total cost: $500-$2,000/month depending on scale. Compliance platforms reduce audit prep from 200+ hours to 40-60 hours.

How much does SOC 2 certification cost?

SOC 2 Type I: $15,000-$25,000 (auditor fees $8K-$12K, tools $3K-$5K, implementation 100-150 hours). Type II: $25,000-$50,000 (auditor $15K-$30K, tools $6K-$12K annually, 200-300 implementation hours). With automation, reduce internal labor by 60-70%. Annual renewal (Type II): $15K-$25K. DIY approach (no compliance platform) saves $10K-$15K but adds 80-100 hours manual work.

What's the difference between SOC 2 Type I and Type II?

Type I: Point-in-time assessment (controls exist on a specific date). Audit duration: 4-6 weeks. Good for early-stage companies needing quick certification. Type II: Operating effectiveness over 3-12 months (controls work consistently). Required by most enterprise customers. More valuable but takes 6-12 months minimum. Start with Type I to learn process, upgrade to Type II within 6-12 months. Type II costs 50-80% more than Type I.

Which Trust Service Criteria should we prioritize?

Security (required for all SOC 2 audits): CC6 (Logical Access), CC7 (System Operations), CC8 (Risk Mitigation). Optional criteria depend on business: Availability (CC1) for SaaS uptime commitments, Confidentiality (CC2) for sensitive data handling, Processing Integrity (CC3) for data accuracy requirements, Privacy (CC4) for GDPR/CCPA compliance. Most B2B SaaS start with Security only, add Availability in Type II. Privacy adds 30-40% to audit cost/time.

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