I still remember the panic in the CTO's eyes when I told him we needed "evidence" for their SOC 2 audit. "What do you mean evidence?" he asked. "We have all the security controls in place. Isn't that enough?"
That was in 2017, and I was three months into helping a promising fintech startup prepare for their first SOC 2 Type II audit. They'd spent six figures building robust security controls—encryption, access management, monitoring systems, the works. Everything was technically sound.
But they had almost no documentation proving any of it actually worked.
Fast forward three months: we barely scraped through the audit. The auditor accepted our evidence, but with numerous exceptions and notes. The startup got their SOC 2 report, but it was riddled with qualifications that made prospects nervous. They ended up spending another $80,000 on a follow-up audit six months later to clean up their report.
The lesson? In the world of SOC 2, if you can't prove it happened, it didn't happen.
After fifteen years in cybersecurity and helping over 30 companies through SOC 2 audits, I've learned that evidence collection is where most organizations stumble. Not because they lack controls, but because they don't understand what auditors actually need to see.
Let me save you the expensive learning curve I've watched dozens of companies go through.
What SOC 2 Evidence Actually Means (And Why It's Different)
Here's something that surprises people: SOC 2 isn't about having the best security tools or the most sophisticated architecture. It's about demonstrating that your controls operated effectively over a specific period.
Think of it like this: You can tell me you have a state-of-the-art fire suppression system. You can show me the installation invoice. But can you prove you tested it monthly for the past year? Can you show me who performed those tests? Can you demonstrate what happened when you found an issue?
That's what SOC 2 evidence is all about.
"SOC 2 isn't a security audit. It's a proof-of-process audit. Your job isn't to be perfect—it's to be consistently documented."
The Evidence Triangle: What Auditors Look For
In my experience, every piece of SOC 2 evidence needs to answer three fundamental questions:
What was supposed to happen? (Your policies and procedures)
What actually happened? (Your operational records)
How do you know it worked? (Your monitoring and testing results)
I worked with a SaaS company in 2021 that had beautiful security policies. Gorgeously formatted, comprehensive, approved by legal—perfect documents. But when the auditor asked for evidence that employees actually followed these policies, we had... nothing.
No training records. No acknowledgment forms. No monitoring data. No test results.
We scrambled for weeks, interviewing employees, reconstructing timelines, and piecing together evidence from email trails and Slack messages. It was a nightmare. And it was entirely preventable.
The Complete Evidence Collection Framework
Let me break down exactly what you need, organized by Trust Services Criteria. This is the framework I use with every client, and it's saved countless hours of audit stress.
Common Criteria Evidence (Required for All SOC 2 Audits)
These are foundational requirements that apply regardless of which Trust Services Criteria you're pursuing:
Evidence Type | What You Need | Collection Frequency | Common Pitfalls |
|---|---|---|---|
Organization Chart | Current org structure showing reporting lines | Quarterly updates | Outdated charts showing people who left months ago |
Policy Documents | All security, privacy, and operational policies | Annual review + any changes | Policies that haven't been updated in 3+ years |
Policy Acknowledgments | Signed confirmations from all employees | Each new hire + annual | Missing signatures from contractors and executives |
Background Checks | Results for all employees with system access | Pre-hire for each employee | Incomplete checks for contractors or recent hires |
Training Records | Security awareness training completion | Annual (minimum) | Generic certificates without content proof |
Access Reviews | Quarterly reviews of who has access to what | Quarterly | Reviews performed but not documented |
Vendor Contracts | Agreements with security/confidentiality clauses | At contract signing | Old contracts without security provisions |
Vendor Assessments | Security evaluations of critical vendors | Annual | Assessments of wrong vendors (missing critical ones) |
Risk Assessment | Documented risk analysis and treatment plan | Annual (minimum) | Generic, non-specific risk assessments |
Incident Response Plan | Documented procedures for security incidents | Annual review | Plans that exist but were never tested |
Security Criteria Evidence (The Big One)
Security is mandatory for every SOC 2 audit. Here's what you actually need:
Access Control Evidence
This is where I see the most failures. Access controls sound simple, but the evidence requirements are extensive.
Control Activity | Evidence Required | What Good Looks Like | What Failure Looks Like |
|---|---|---|---|
User Provisioning | Tickets/requests for each new account created | Jira ticket showing: requester, approver, date, access granted, validation | Email chains with vague approvals like "Yeah, give Sarah access" |
User Deprovisioning | Evidence accounts were disabled within policy timeframe | Offboarding tickets showing 24-hour account termination | Former employees still showing as active in directories |
Access Reviews | Quarterly reviews of all user access with documented approvals | Spreadsheet showing: all users, their access, review date, reviewer signature | "We review access regularly" with no records |
Privileged Access Management | Evidence of restricted admin access and approval workflows | Audit logs showing admin access requests, approvals, and time-limited grants | Everyone has admin rights "because it's easier" |
Multi-Factor Authentication | Configuration settings and enforcement logs | MFA enabled for 100% of users with bypass logging | MFA "mostly" enabled with numerous exceptions |
Password Policies | System configurations enforcing complexity requirements | Screenshots/configs showing: length, complexity, expiration, history | Default settings unchanged since system installation |
Real Story: I worked with a healthcare tech company that thought they had access controls nailed. They used Okta, had MFA enabled, performed quarterly reviews—everything looked good on paper.
Then the auditor asked to see evidence of the Q2 access review. They found it: a spreadsheet marked "Access Review Q2 2022 - Complete."
The auditor's next question: "Who performed the review?"
The answer: An employee who'd left the company in March 2022—before Q2 even started.
The "review" had been a copy-paste job. Nobody had actually verified anything. The control failed.
We had to perform emergency catch-up reviews for three quarters and provide evidence of remediation. It delayed their audit by six weeks and cost them a $120,000 enterprise deal they were trying to close.
"In SOC 2, shortcuts always reveal themselves. Usually at the worst possible time."
Change Management Evidence
Change management trips up technical teams constantly. Developers hate bureaucracy, and change tickets feel like bureaucracy.
Change Type | Required Evidence | Documentation Standard | Red Flags |
|---|---|---|---|
Production Changes | Change tickets for every production deployment | Ticket must include: description, risk assessment, approver, test results, rollback plan | Changes deployed via "emergency" process 50% of the time |
Infrastructure Changes | Documented approval for infrastructure modifications | Separate approval for infrastructure vs. code changes | Infrastructure changes made "on the fly" |
Emergency Changes | Documented emergency process + post-change review | Emergency ticket + follow-up review within 24 hours | Everything is an "emergency" to avoid process |
Change Testing | Evidence of testing before production deployment | Test results, code review approvals, automated test outputs | "We tested it, trust us" |
Rollback Procedures | Documented rollback capabilities for each change | Tested rollback procedure or automated rollback capability | No rollback plan or "we'll figure it out if needed" |
I'll never forget working with a fast-moving startup in 2020. They deployed to production 15-20 times per day. Their CTO told me, "We can't possibly document every change. We'd never ship anything."
We implemented a solution: their CI/CD pipeline automatically created change tickets with:
Git commit details
Automated test results
Deployment timestamp
Automatic approver based on code ownership
Automated rollback capability
Result? They maintained their deployment velocity while having perfect change management evidence. The auditor was impressed—not because they were perfect, but because they built compliance into their workflow instead of bolting it on afterward.
Availability Criteria Evidence
If you're pursuing Availability (and you probably should be), here's what you need:
Evidence Category | Specific Requirements | Collection Method | Typical Issues |
|---|---|---|---|
System Monitoring | Uptime monitoring data for all critical systems | Automated monitoring tool exports (PagerDuty, DataDog, etc.) | Monitoring gaps during system migrations |
Incident Tickets | All availability incidents with resolution details | Ticketing system exports showing: detection time, response time, resolution time | Incidents resolved via Slack with no formal ticket |
Backup Verification | Evidence of successful backups + restoration tests | Backup tool logs + quarterly restoration test results | Backups running but never tested for restoration |
Capacity Planning | Resource utilization trends and scaling decisions | Infrastructure monitoring showing capacity headroom | No proactive monitoring, only reactive firefighting |
Disaster Recovery Testing | Annual DR test with documented results | Test plan, execution notes, lessons learned, remediation actions | DR plan exists but was never actually tested |
Service Level Achievement | Uptime statistics meeting committed SLAs | Monthly uptime reports vs. customer commitments | Uptime tracked but not compared to commitments |
Processing Integrity Evidence
This one is often misunderstood. It's not about security—it's about data accuracy and completeness.
Control Objective | Evidence Needed | Where Teams Struggle |
|---|---|---|
Data Validation | Configurations showing input validation rules | Proving validation happens for ALL inputs, not just main user flows |
Error Handling | Error logs and resolution procedures | Demonstrating errors are detected AND corrected |
Reconciliation | Evidence of data reconciliation between systems | Regular reconciliation that catches actual discrepancies |
Processing Monitoring | Logs showing processing completion and accuracy | Monitoring that flags incomplete or inaccurate processing |
Quality Assurance | Testing results showing data accuracy | QA tests that actually validate data integrity, not just UI functionality |
Confidentiality Evidence
If you handle confidential information (and most companies do), you need:
Confidentiality Control | Evidence Requirements | Pro Tip |
|---|---|---|
Data Classification | Documented classification scheme + evidence data is classified | Create classification labels in your systems (e.g., Confidential, Internal, Public) |
Encryption | Configuration evidence for data at rest and in transit | Screenshot/config export showing encryption algorithms and key management |
Data Access Restrictions | Access controls limiting confidential data access | Role-based access with regular reviews of who can access confidential data |
Secure Transmission | Evidence confidential data only transmitted via secure channels | TLS configs, VPN usage logs, secure file transfer logs |
Confidentiality Agreements | NDAs with employees and contractors | Signed NDAs for everyone with confidential data access |
Data Disposal | Evidence of secure deletion/destruction | Certificates of destruction, secure deletion logs |
Privacy Evidence (If Applicable)
Privacy criteria has exploded in importance. Here's what auditors scrutinize:
Privacy Requirement | Evidence Collection | Common Gaps |
|---|---|---|
Privacy Notice | Published privacy policy accessible to users | Policy exists but wasn't actually published during audit period |
Consent Management | Records of consent for data collection/processing | Consent assumed rather than explicitly obtained |
Data Subject Rights | Process and evidence for handling rights requests (access, deletion, etc.) | Process documented but never actually executed |
Purpose Limitation | Evidence data only used for stated purposes | Data collected for one purpose, used for another |
Retention Policies | Documented retention periods + evidence of deletion | Retention policy exists but deletion never happens |
Third-Party Sharing | Contracts and privacy assessments for data sharing | Data shared with vendors without privacy review |
Breach Notification | Procedures for privacy breach notification | Process exists but notification timelines not met |
The Evidence Collection Timeline: Month-by-Month
Here's a reality check: you can't collect a year's worth of evidence in the month before your audit. Let me show you what a realistic evidence collection timeline looks like.
Months 1-3: Foundation Building
What You're Collecting:
Baseline policy documents
Initial risk assessment
Vendor inventory and initial assessments
Employee background checks
Initial training rollout
What Can Go Wrong:
I watched a company try to implement 47 new policies in their first month. Employees were overwhelmed, compliance became a joke, and nothing actually got followed.
Start with your critical 10-15 policies. Get those working. Expand from there.
Months 4-6: Process Implementation
What You're Collecting:
First quarter access reviews
Change management tickets
Security monitoring logs
Incident response records (if any incidents occurred)
Vendor review documentation
What Can Go Wrong:
This is where the "we'll document it later" mentality kills you. I've seen teams implement great controls but fail to document them consistently. By month 6, when they try to reconstruct evidence, memories are fuzzy and details are lost.
My Rule: If you do it, document it immediately. No exceptions.
Months 7-9: Consistency Proving
What You're Collecting:
Second quarter access reviews
Continued change management evidence
Backup testing results
Updated risk assessments
Training completion records for new hires
What Can Go Wrong:
Audit fatigue sets in. Teams get sloppy. Access reviews get delayed. Changes start bypassing the process "just this once."
This is where discipline separates companies with clean audits from those with exception-riddled reports.
Months 10-12: Pre-Audit Preparation
What You're Collecting:
Third quarter access reviews
All outstanding evidence
Evidence organization and indexing
Gap identification and remediation
What Can Go Wrong:
Panic mode. Teams discover they're missing critical evidence and try to backfill. Some things can be reconstructed. Others can't.
I had a client discover in month 11 that they had no evidence of background checks for 23 contractors. We couldn't go back in time and run checks "as of" their hire dates. Those became exceptions in their report.
The Evidence Organization System That Actually Works
After watching countless companies struggle with evidence management, I developed a system that makes audits almost pleasant. Almost.
The Folder Structure
SOC2_Evidence/
├── 01_Organization/
│ ├── Org_Charts/
│ ├── Policies/
│ └── Risk_Assessments/
├── 02_Human_Resources/
│ ├── Background_Checks/
│ ├── Training_Records/
│ └── Offboarding_Records/
├── 03_Access_Control/
│ ├── User_Provisioning/
│ ├── User_Deprovisioning/
│ ├── Access_Reviews_Q1/
│ ├── Access_Reviews_Q2/
│ ├── Access_Reviews_Q3/
│ └── Access_Reviews_Q4/
├── 04_Change_Management/
│ ├── Production_Changes/
│ └── Infrastructure_Changes/
├── 05_Monitoring_Detection/
│ ├── Security_Monitoring/
│ ├── Availability_Monitoring/
│ └── Incident_Tickets/
├── 06_Vendor_Management/
│ ├── Vendor_Contracts/
│ └── Vendor_Assessments/
└── 07_Business_Continuity/
├── Backup_Logs/
├── DR_Test_Results/
└── Capacity_Planning/
Naming Convention That Saves Hours:
Bad: access_review.xlsx Good: 2024_Q2_Access_Review_AWS_Production_Approved_20240630.xlsx
The good filename tells you:
When it was performed (2024 Q2)
What was reviewed (AWS Production)
The status (Approved)
The completion date (2024-06-30)
No opening files to figure out what they are. No guessing which version is current. No wasting auditor time.
"Organization isn't about being neat. It's about respecting everyone's time—especially the person who'll be frantically searching for evidence at 11 PM before an audit deadline."
The Evidence Quality Checklist
Not all evidence is created equal. Here's my quality checklist that I run every piece of evidence through:
The Five Evidence Quality Questions
1. Is it Contemporaneous?
Bad evidence: Created after the fact, reconstructed from memory Good evidence: Created when the activity occurred
Example: An access review dated June 30, 2024, but the file properties show it was created on August 15, 2024. Auditors notice this stuff.
2. Is it Complete?
Bad evidence: Partially filled out spreadsheets, missing signatures, incomplete forms Good evidence: Every field populated, all required approvals present, no gaps
3. Is it Specific?
Bad evidence: "User access reviewed and approved - JD" Good evidence: "Reviewed 247 user accounts across AWS, GitHub, and Salesforce. Identified 3 accounts requiring modification (see attached). All modifications completed and verified. Approved by John Doe, Director of IT Security, June 30, 2024."
4. Is it Verifiable?
Bad evidence: Statements without supporting data Good evidence: Claims backed by logs, screenshots, system exports
5. Is it Consistent?
Bad evidence: Contradicts other evidence or policies Good evidence: Aligns with stated policies and other documentation
Common Evidence Collection Mistakes (And How to Avoid Them)
After 15+ years of watching companies stumble through SOC 2 audits, I've seen these mistakes repeatedly:
Mistake #1: The "We'll Screenshot Everything Later" Approach
I had a client who figured they'd just take screenshots of everything right before the audit. Sounds reasonable, right?
Wrong. When the auditor asked for Q1 access configurations, they had screenshots from month 12. "But nothing changed!" they insisted.
The auditor's response: "Prove it."
They couldn't. Those became exceptions.
Solution: Automated evidence collection. Set up scripts or tools that regularly export:
User access lists
System configurations
Security settings
Monitoring data
Store them with timestamps. Let automation handle the documentation burden.
Mistake #2: The "Everyone Knows What They're Doing" Problem
I worked with a well-intentioned startup where the CTO handled evidence collection personally. Great! Except when he went on vacation for two weeks, nobody collected evidence. And when he left the company month 8, all institutional knowledge walked out the door.
Solution: Document your documentation process. Create runbooks that specify:
What evidence to collect
How to collect it
Where to store it
When to collect it
Who's responsible
Make evidence collection a team capability, not a person dependency.
Mistake #3: The "Generic Evidence" Trap
Auditors can spot generic, template-filled evidence instantly. I've seen companies submit:
Risk assessments that were clearly copy-pasted from the internet
Policies with [COMPANY NAME] placeholder text
Training certificates from courses that didn't cover relevant topics
Solution: Make evidence specific to your organization. Reference your actual:
Systems and tools
Team members and roles
Processes and procedures
Risks and controls
Generic evidence suggests you don't actually operate these controls.
Mistake #4: Over-Collecting (Yes, It's Possible)
I had a client who gave the auditor 4,000 pages of evidence for a relatively straightforward audit. The auditor's firm charged them extra for the review time.
More evidence doesn't mean better evidence. Auditors are sampling. Give them:
Clear indices of what evidence exists
Representative samples
Specific evidence when requested
Easy-to-navigate organization
Solution: Create an evidence matrix that maps each control to its evidence. Give auditors the matrix. Let them tell you what they need to see.
Tools and Automation That Make Life Easier
Let me share the technology stack that makes evidence collection manageable:
Essential Tools
Tool Category | Examples | What It Does for Evidence | Cost Range |
|---|---|---|---|
GRC Platforms | Vanta, Drata, Secureframe | Automates evidence collection, provides compliance dashboard | $12K-$40K annually |
SIEM/Logging | Splunk, DataDog, Sumo Logic | Centralized logging for security monitoring evidence | $5K-$50K annually |
Access Management | Okta, Azure AD, Google Workspace | Automated access logs and MFA evidence | $3-$8 per user/month |
Change Management | Jira, ServiceNow, Azure DevOps | Change ticket tracking and approval workflows | $5-$10 per user/month |
Document Management | Confluence, SharePoint, Notion | Policy documentation and version control | $5-$10 per user/month |
Evidence Collection | Hyperproof, AuditBoard, LogicGate | Evidence request management and audit workflow | $10K-$30K annually |
Real Talk: Early-stage startups often ask if they can avoid these costs. Short answer: some, yes. Long answer: it depends.
I helped a 12-person startup achieve SOC 2 with minimal tooling:
Used Google Workspace (already had it)
Used GitHub Projects for change management (free)
Used Confluence for documentation ($120/year)
Used Python scripts for automated evidence exports (free)
Total additional spend: Under $5K
But they had a technically sophisticated team comfortable with scripting. If you're not in that boat, spending $15-20K on a GRC platform might actually save you money compared to the human hours required.
The DIY Evidence Collection Script
For technically inclined teams, here's a simple approach I've used:
Create a weekly cron job that exports:
Current user list from your IdP
System configurations from critical systems
Access logs from the past week
Change tickets from the past week
Backup success/failure logs
Store these in your evidence folder with timestamped filenames. When audit time comes, you have a complete historical record.
One client saved over $30K by implementing this instead of buying a full GRC platform. But someone needs to maintain the scripts, and that's not trivial.
Working with Auditors: The Evidence Review Process
Let's talk about what actually happens during the audit when it comes to evidence.
The Evidence Request List (ERL)
About 2-3 weeks before your audit kickoff, you'll receive an Evidence Request List. This is the auditor's shopping list of what they need to see.
Sample ERL Items:
Request ID | Control Reference | Evidence Requested | My Notes |
|---|---|---|---|
CC6.1-01 | Logical Access - User Provisioning | Sample of 25 user provisioning tickets from audit period | Pull from ticketing system, ensure approvals are documented |
CC6.1-02 | Logical Access - User Deprovisioning | List of all terminated employees + evidence of account disablement | Export HR offboarding list + IT ticket confirmations |
CC6.2-01 | Access Review | All quarterly access reviews for production systems | Four reviews (Q1-Q4), each with documented approvals |
CC7.2-01 | Change Management | Sample of 40 production changes | Select diverse sample: features, bugs, infrastructure, emergency changes |
Here's what most teams do wrong: they frantically respond to each request individually, searching for evidence one item at a time.
Here's what works better: Map the ERL to your evidence folder structure. Create an index spreadsheet that shows exactly where each piece of evidence lives. Submit the index with your evidence. Auditors love this because it saves them time, and happy auditors mean smoother audits.
The Sample Selection Strategy
Auditors work by sampling. They can't review every single thing, so they select representative samples.
Here's insider knowledge: you can often influence sample selection to your advantage.
When an auditor asks for "a sample of user provisioning tickets," don't just dump your ticketing system export on them. Instead:
Pull the complete population (all provisioning tickets)
Select a diverse, representative sample
Ensure your sample includes:
Different time periods
Different requesters
Different types of access
At least one or two that had issues (and show how you resolved them)
This demonstrates thoroughness and transparency. Auditors notice when companies only show perfect examples—it makes them suspicious.
Real Story: I had a client who only submitted flawless change tickets. The auditor suspected they were cherry-picking and expanded the sample size by 300%. We had to produce evidence for 120 changes instead of 40, and several had issues that became exceptions.
If they'd been transparent upfront and included 2-3 "we had a problem, here's how we fixed it" examples, the audit would have been much smoother.
"Auditors aren't looking for perfection. They're looking for evidence that you notice problems and fix them. Trying to hide imperfections always backfires."
The Pre-Audit Evidence Review
Here's a secret weapon: conduct your own internal audit 4-6 weeks before the real audit.
The Internal Evidence Review Process
Week 1: Evidence Inventory
Collect all evidence
Organize by control
Identify gaps
Week 2: Quality Review
Check completeness
Verify dates align
Ensure consistency
Week 3: Gap Remediation
Address missing evidence
Fix inconsistencies
Update documentation
Week 4: Mock Audit
Have someone unfamiliar with the evidence try to find what they need
Time how long it takes
Note any confusion
I had a client discover through their mock audit that their Q2 access review had a critical flaw: the reviewer was reviewing their own access. That's a control failure. We caught it early, performed a corrective review, documented the issue and remediation, and explained it proactively to the auditor.
Result: Minor observation instead of major exception.
The Evidence Retention Strategy
SOC 2 isn't a one-time thing. After your initial audit, you'll need to maintain evidence ongoing.
Retention Requirements
Evidence Type | Retention Period | Storage Recommendation | Why |
|---|---|---|---|
Policy Documents | 7 years | Version-controlled document management system | May need to prove policies in effect during prior audits |
Access Reviews | 3 years minimum | Secure file storage with access controls | Surveillance audits will sample across multiple periods |
Change Tickets | 3 years minimum | Integrated with version control | Demonstrate consistent change management over time |
Incident Records | 7 years | Encrypted archive storage | Legal/regulatory requirements, trend analysis |
Training Records | Duration of employment + 3 years | HR system or dedicated training platform | Prove historical compliance, defend against claims |
System Logs | 1 year minimum (active), 3+ years archive | SIEM with long-term storage tier | Security investigations, forensics, compliance verification |
Pro Tip: Set up automated retention policies. Manual retention management always fails. Systems get upgraded, files get moved, evidence gets lost.
The Path Forward: Building a Sustainable Evidence Practice
Let me close with practical advice for building evidence collection into your operational DNA.
Start Small and Automate
Don't try to perfect everything at once. Pick your most painful evidence collection points and automate those first.
For most companies, that's:
User access management
Change management
Security monitoring
Get those three right, and you've solved 60-70% of your evidence burden.
Make It Invisible
The best evidence collection happens automatically, without anyone thinking about it. When you design processes, build evidence collection directly into the workflow.
Example: Don't make access reviews a separate activity. Build access review into your quarterly business reviews. Have managers review their team's access as part of regular team meetings. Evidence collection becomes a natural byproduct of doing business.
Create Evidence Champions
Designate someone on each team as the "evidence champion" for their domain:
Engineering: Change management evidence
HR: Training and background check evidence
IT: Access control evidence
Security: Monitoring and incident evidence
Make this part of their job description. Give them time. Recognize their contributions.
Invest in Tools Thoughtfully
Start with process. Once you understand your evidence needs, then evaluate tools. I've seen companies buy expensive GRC platforms before they understood their processes—total waste of money.
But once you know what you need, the right tools are transformative. The ROI on compliance automation is typically 3-6 months.
Final Thoughts: The Evidence Mindset
After helping dozens of companies through SOC 2 audits, here's what I've learned:
Evidence collection isn't about compliance theater. It's about building organizational muscle memory.
When you document your security practices consistently, you:
Notice problems faster
Respond to incidents more effectively
Onboard new team members more easily
Scale your operations more smoothly
Sleep better at night
The companies that struggle with evidence collection are usually struggling with security operations in general. The companies that excel at evidence collection tend to excel at security overall.
Because here's the truth: if you can't document it, you probably aren't doing it consistently. And inconsistent security isn't security—it's luck.
SOC 2 evidence requirements force you to move from luck-based security to process-based security. That's uncomfortable at first, but ultimately, it's what separates mature organizations from those living on borrowed time.
Start collecting evidence today. Your audit-period-self will thank you.