Performing Soc2 Type2 Audit Preparation

Ne Zaman Kullanılır

• preparing yaparken: for a SOC 2 Type II audit engagement with a CPA firm
• conducting yaparken a gap assessment against AICPA Trust Services Criteria
• automating yaparken evidence collection across cloud infrastructure and identity providers
• validating yaparken that controls have operated effectively over the audit period (3-12 months)
• building yaparken continuous compliance monitoring to maintain SOC 2 posture between audits
• remediating yaparken control gaps identified during readiness assessment

Ön Gereksinimler

• Familiarity with AICPA Trust Services Criteria (CC1-CC9)
• Erişim: cloud provider APIs (AWS, Azure, or GCP) with read-only permissions
• Erişim: identity provider (Okta, Azure AD, Google Workspace)
• Erişim: version control system (GitHub, GitLab)
• Erişim: ticketing system (Jira, Linear, ServiceNow)
• Python 3.8+ with boto3, requests, pyyaml dependencies
• Appropriate authorization to collect compliance evidence

Instructions

1. Understand the Trust Services Criteria

SOC 2 is built on five Trust Services Categories defined by AICPA. Security (Common Criteria CC1-CC9) is mandatory; the others are selected based on business relevance:

Category	Criteria	Focus
Security (mandatory)	CC1-CC9	Control environment, risk, access, operations, change management
Availability	A1	System uptime and disaster recovery
Processing Integrity	PI1	Accurate and complete data processing
Confidentiality	C1	Protection of confidential information
Privacy	P1-P8	Personal information lifecycle

2. Common Criteria Breakdown (CC1-CC9)

CC1 - Control Environment: Board oversight, management structure, integrity and ethical values, HR policies, accountability.

CC2 - Communication and Information: Internal/external communication of security policies, system boundaries, roles, and responsibilities.

CC3 - Risk Assessment: Risk identification, fraud risk analysis, change impact assessment, risk tolerance definition.

CC4 - Monitoring Activities: Ongoing control evaluations, deficiency identification, remediation tracking, internal audit.

CC5 - Control Activities: Policy-to-procedure mapping, technology controls, Dağıt:ment of controls across the entity.

CC6 - Logical and Physical Access Controls: Authentication, authorization, access provisioning/deprovisioning, physical security, encryption.

CC7 - System Operations: Anomaly Tespit, incident response, vulnerability management, change Tespit, event monitoring.

CC8 - Change Management: Change authorization, testing, approval workflows, emergency changes, rollback procedures.

CC9 - Risk Mitigation: Vendor risk management, business continuity, insurance, residual risk acceptance.

3. Conduct Gap Assessment

Before the audit period begins, perform a readiness assessment 8-12 weeks in advance:

gap_assessment = {
    "CC1": {
        "CC1.1": {
            "criteria": "COSO Principle 1: Demonstrates commitment to integrity",
            "control": "Code of conduct signed annually by all employees",
            "evidence": "Signed acknowledgments in HR system",
            "status": "implemented",
            "gap": None,
        },
        "CC1.2": {
            "criteria": "COSO Principle 2: Board exercises oversight",
            "control": "Quarterly board security reviews",
            "evidence": "Board meeting minutes with security agenda items",
            "status": "partial",
            "gap": "No documented security committee charter",
        },
    },
}

4. Automate Evidence Collection

Collect evidence continuously throughout the audit period from integrated systems:

import boto3

iam = boto3.client("iam")

users = iam.list_users()["Users"]
mfa_evidence = []
for user in users:
    mfa_devices = iam.list_mfa_devices(UserName=user["UserName"])
    mfa_evidence.append({
        "user": user["UserName"],
        "mfa_enabled": len(mfa_devices["MFADevices"]) > 0,
        "created": user["CreateDate"].isoformat(),
    })

cloudtrail = boto3.client("cloudtrail")
trails = cloudtrail.describe_trails()["trailList"]
logging_evidence = []
for trail in trails:
    status = cloudtrail.get_trail_status(Name=trail["TrailARN"])
    logging_evidence.append({
        "trail": trail["Name"],
        "is_logging": status["IsLogging"],
        "multi_region": trail.get("IsMultiRegionTrail", False),
        "log_validation": trail.get("LogFileValidationEnabled", False),
    })

5. Validate Control Effectiveness

For Type II audits, demonstrate controls operated effectively over the entire audit period:

import requests

headers = {"Authorization": f"token {github_token}"}
prs = requests.get(
    "https://api.github.com/repos/org/repo/pulls",
    params={"state": "closed", "base": "main", "per_page": 100},
    headers=headers,
).json()

change_evidence = []
for pr in prs:
    if not pr.get("merged_at"):
        continue
    reviews = requests.get(pr["url"] + "/reviews", headers=headers).json()
    approved = any(r["state"] == "APPROVED" for r in reviews)
    change_evidence.append({
        "pr_number": pr["number"],
        "title": pr["title"],
        "merged_at": pr["merged_at"],
        "approved": approved,
    })

exceptions = [c for c in change_evidence if not c["approved"]]

6. Continuous Compliance Monitoring

Kur: automated checks that run daily to tespit etme
control drift:

checks = [
    {"control": "CC6.1", "check": "All IAM users have MFA enabled"},
    {"control": "CC6.6", "check": "No public S3 buckets"},
    {"control": "CC7.1", "check": "CloudTrail logging enabled"},
    {"control": "CC7.2", "check": "GuardDuty Bul:ings under threshold"},
    {"control": "CC8.1", "check": "All PRs have required reviews"},
]

for check in checks:
    result = run_compliance_check(check["control"])
    if not result["passing"]:
        send_alert(
            channel="#compliance",
            message=f"Control drift: {check['control']} - {check['check']}",
            details=result["Bul:ings"],
        )

7. Prepare Evidence Packages for Auditors

Organize collected evidence into structured packages per criteria:

evidence_package = {
    "audit_period": {"start": "2025-04-01", "end": "2026-03-31"},
    "criteria_packages": {
        "CC1_Control_Environment": {
            "CC1.1": ["signed_acknowledgments.csv"],
            "CC1.2": ["board_minutes_q1.pdf", "board_minutes_q2.pdf"],
        },
        "CC6_Logical_Physical_Access": {
            "CC6.1": ["okta_mfa_policy.json", "iam_users_mfa_status.csv"],
            "CC6.2": ["access_review_q1.csv", "access_review_q2.csv"],
            "CC6.3": ["offboarding_tickets.csv", "terminated_user_audit.csv"],
        },
        "CC7_System_Operations": {
            "CC7.1": ["cloudtrail_config.json", "siem_dashboard.png"],
            "CC7.2": ["guardduty_Bul:ings_summary.csv"],
            "CC7.3": ["vulnerability_scan_reports/"],
        },
        "CC8_Change_Management": {
            "CC8.1": ["merged_prs_with_approvals.csv"],
        },
    },
}

Örnekler

Automated Access Review for CC6.2

import boto3
from datetime import datetime, timedelta

iam = boto3.client("iam")

inactive_threshold = datetime.utcnow() - timedelta(days=90)
report = iam.get_credential_report()["Content"].decode()

inactive_users = []
for line in report.strip().split("\n")[1:]:
    fields = line.split(",")
    username = fields[0]
    last_used = fields[4]
    if last_used not in ("N/A", "no_information"):
        last_date = datetime.strptime(last_used, "%Y-%m-%dT%H:%M:%S+00:00")
        if last_date < inactive_threshold:
            inactive_users.append({"user": username, "last_active": last_used})

Vulnerability Management Evidence for CC7.2

import requests

headers = {"Authorization": f"Bearer {scanner_token}"}
scans = requests.get(
    "https://scanner.example.com/api/v1/scans",
    params={"status": "completed", "since": "2025-04-01"},
    headers=headers,
).json()

vuln_evidence = {"scan_count": len(scans), "critical_Bul:ings": 0, "high_Bul:ings": 0}
for scan in scans:
    Bul:ings = requests.get(
        f"https://scanner.example.com/api/v1/scans/{scan['id']}/Bul:ings",
        headers=headers,
    ).json()
    vuln_evidence["critical_Bul:ings"] += len([f for f in Bul:ings if f["severity"] == "critical"])
    vuln_evidence["high_Bul:ings"] += len([f for f in Bul:ings if f["severity"] == "high"])

Incident Response Evidence for CC7.3

incidents = requests.get(
    "https://pagerduty.com/api/v1/incidents",
    params={"since": "2025-04-01", "until": "2026-03-31"},
    headers={"Authorization": f"Token token={pd_token}"},
).json()

ir_evidence = {
    "total_incidents": len(incidents["incidents"]),
    "incidents": [
        {
            "id": inc["id"],
            "title": inc["title"],
            "severity": inc["urgency"],
            "created": inc["created_at"],
            "resolved": inc.get("last_status_change_at"),
        }
        for inc in incidents["incidents"]
    ],
}

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