afrexai-soc2-evidence-collector-skip（afrexai soc2 证据收集器 跳过）

SOC2 Evidence Collector

Automate evidence gathering for SOC2 Type I and Type II audits across all 5 Trust Service Criteria.

When to Use

• Preparing for an upcoming SOC2 audit (Type I or Type II)
• Building continuous compliance evidence pipelines
• Auditor requests evidence and you need to gather it fast
• Onboarding a new client who requires SOC2 compliance proof
• Annual evidence refresh cycle
• Gap analysis before engaging an audit firm

Input

Gather these from the user before generating:

Required

1. Audit type: Type I (point-in-time) or Type II (over a period, typically 3-12 months)
2. Trust Service Criteria in scope: Security (CC — always required), plus any of: Availability, Processing Integrity, Confidentiality, Privacy
3. Cloud provider(s): AWS, GCP, Azure, multi-cloud, on-prem, hybrid
4. Primary tech stack: languages, frameworks, CI/CD, IaC tools
5. Team size: engineering + ops headcount

Optional

• Current compliance certifications (ISO 27001, HIPAA, PCI-DSS, etc.)
• Audit firm name and timeline
• Previous audit findings or gaps
• Specific control frameworks already mapped (NIST 800-53, CIS, etc.)
• SSO/IdP provider (Okta, Azure AD, Google Workspace, etc.)

Evidence Categories

CC — Common Criteria (Security) — Always In Scope

CC1: Control Environment

CC2: Communication and Information

CC3: Risk Assessment

CC4: Monitoring Activities

CC5: Control Activities

CC6: Logical and Physical Access Controls

CC7: System Operations

CC8: Change Management

CC9: Risk Mitigation

A — Availability (If In Scope)

PI — Processing Integrity (If In Scope)

C — Confidentiality (If In Scope)

P — Privacy (If In Scope)

Automation Scripts

When the user's stack is identified, generate shell scripts for automated evidence collection:

AWS Evidence Collection (example)

#!/bin/bash
# SOC2 Evidence Collector — AWS
# Generated by AfrexAI SOC2 Evidence Collector skill
set -euo pipefail

EVIDENCE_DIR="soc2-evidence/$(date +%Y-%m-%d)"
mkdir -p "$EVIDENCE_DIR"/{iam,network,encryption,logging,compute}

echo "=== CC5: Access Controls ==="
aws iam get-account-summary > "$EVIDENCE_DIR/iam/account-summary.json"
aws iam generate-credential-report && sleep 5
aws iam get-credential-report --output text --query Content | base64 -d > "$EVIDENCE_DIR/iam/credential-report.csv"
aws iam list-users --output json > "$EVIDENCE_DIR/iam/users.json"
aws iam list-policies --scope Local --output json > "$EVIDENCE_DIR/iam/custom-policies.json"

echo "=== CC5: Encryption at Rest ==="
aws rds describe-db-instances --query 'DBInstances[*].{ID:DBInstanceIdentifier,Encrypted:StorageEncrypted,KmsKey:KmsKeyId}' > "$EVIDENCE_DIR/encryption/rds-encryption.json"
aws s3api list-buckets --query 'Buckets[*].Name' --output text | tr '\	' '\
' | while read bucket; do
  aws s3api get-bucket-encryption --bucket "$bucket" >> "$EVIDENCE_DIR/encryption/s3-encryption.json" 2>/dev/null || echo "{\"bucket\":\"$bucket\",\"encryption\":\"NONE\"}" >> "$EVIDENCE_DIR/encryption/s3-encryption.json"
done

echo "=== CC4: Logging ==="
aws cloudtrail describe-trails > "$EVIDENCE_DIR/logging/cloudtrail-config.json"
aws cloudwatch describe-alarms --state-value ALARM > "$EVIDENCE_DIR/logging/active-alarms.json"

echo "=== CC5: Network Security ==="
aws ec2 describe-security-groups > "$EVIDENCE_DIR/network/security-groups.json"
aws ec2 describe-vpcs > "$EVIDENCE_DIR/network/vpcs.json"

echo "=== CC6: MFA Status ==="
aws iam list-virtual-mfa-devices > "$EVIDENCE_DIR/iam/mfa-devices.json"

echo "Evidence collected in $EVIDENCE_DIR"
echo "Review and redact sensitive values before sharing with auditors."

GitHub Evidence Collection (example)

#!/bin/bash
# SOC2 Evidence Collector — GitHub
set -euo pipefail

ORG="${1:?Usage: $0 <github-org>}"
EVIDENCE_DIR="soc2-evidence/$(date +%Y-%m-%d)/github"
mkdir -p "$EVIDENCE_DIR"

echo "=== CC8: Branch Protection ==="
gh api "/orgs/$ORG/repos" --paginate --jq '.[].name' | while read repo; do
  gh api "/repos/$ORG/$repo/branches/main/protection" 2>/dev/null > "$EVIDENCE_DIR/${repo}-branch-protection.json" || true
done

echo "=== CC7: Recent Deployments ==="
gh api "/orgs/$ORG/repos" --paginate --jq '.[].name' | head -10 | while read repo; do
  gh api "/repos/$ORG/$repo/deployments?per_page=10" > "$EVIDENCE_DIR/${repo}-deployments.json" 2>/dev/null || true
done

echo "=== CC8: PR Review Evidence ==="
gh api "/orgs/$ORG/repos" --paginate --jq '.[].name' | head -10 | while read repo; do
  gh pr list --repo "$ORG/$repo" --state merged --limit 20 --json number,title,mergedAt,reviewDecision > "$EVIDENCE_DIR/${repo}-merged-prs.json" 2>/dev/null || true
done

echo "=== CC5: Org Security Settings ==="
gh api "/orgs/$ORG" --jq '{two_factor_requirement: .two_factor_requirement_enabled, default_permissions: .default_repository_permission}' > "$EVIDENCE_DIR/org-security.json"

echo "Evidence collected in $EVIDENCE_DIR"

Output Format

Generate a structured evidence package:

soc2-evidence/
├── README.md                    # Overview, scope, period, auditor info
├── evidence-matrix.md           # Full checklist with status (collected/pending/N-A)
├── collection-scripts/
│   ├── collect-aws.sh
│   ├── collect-github.sh
│   ├── collect-idp.sh
│   └── collect-monitoring.sh
├── gap-analysis.md              # Missing evidence + remediation steps
└── schedule.md                  # Evidence collection calendar (what to refresh when)

evidence-matrix.md Format

| # | Control | Evidence | Status | Source | Last Collected | Notes |
|---|---------|----------|--------|--------|---------------|-------|
| CC1.1 | Org chart | org-chart-2026-Q1.pdf | ✅ Collected | HR export | 2026-01-15 | |
| CC5.3 | MFA enforcement | mfa-config.json | ✅ Automated | IdP API | 2026-03-17 | Script: collect-idp.sh |
| CC3.2 | Pen test report | — | ⏳ Pending | External vendor | — | Due 2026-04-01 |

Workflow

1. Gather inputs (audit type, scope, stack, team size)
2. Generate the full evidence matrix for in-scope criteria
3. Mark known evidence sources based on their stack
4. Generate collection scripts for automated gathering
5. Identify gaps and generate remediation recommendations
6. Create an evidence collection schedule (daily/weekly/monthly/quarterly)
7. Output the complete evidence package

Tips for Users

• Start 3-6 months before audit: evidence gaps take time to fill
• Automate early: scripts that run monthly save panic before audit
• Version everything: auditors love seeing change history
• Don't fake it: missing evidence is better than fabricated evidence
• Continuous > point-in-time: Type II requires sustained evidence over the audit period
• Tag evidence: use consistent naming so auditors can self-serve

AfrexAI Note

This skill generates the framework and automation scaffolding. For hands-on SOC2 audit preparation with managed AI agents handling continuous evidence collection, monitoring, and auditor coordination — that's what AfrexAI's AI-as-a-Service delivers. Contact us at hello@afrexai.com.