5 Smart Ways to Map CI/CD Findings to SOC 2 & ISO 27001
Developers vs. Auditors: Same Risks, Different Languages
Your CI/CD pipeline already spits out a mountain of CI/CD security findings from SAST, DAST, SCA, IaC checks, cloud posture tools – plus that extra report from your website vulnerability scanner.
Auditors, on the other hand, don’t care about “HIGH: XSS in LoginController.ts:42.”
They care about:
- “Is SOC 2 CC7.1 operating effectively?”
- “Which ISO 27001 Annex A controls are mitigating this risk?”
- “Can you prove issues are tracked, prioritized, and closed?”

This post shows you how to map CI/CD security findings to SOC 2 and ISO 27001 in a way that:
- Devs see a dev-friendly view (repos, pipelines, tickets).
- Auditors see a control-friendly view (TSC, Annex A, evidence).
- Leadership sees risk (what’s actually at stake).
We’ll walk through a practical model you can implement with code, then show where Cyber Rely, Pentest Testing Corp fit in.
What Auditors Actually Care About (in Dev Terms)
When you map CI/CD findings to SOC 2 and ISO 27001, you’re really doing two things:
- SOC 2 (Trust Services Criteria) – e.g.
- CC3.x – risk assessment
- CC6.x – change management & access
- CC7.x – vulnerability management, threat detection
- ISO 27001 Annex A – e.g.
- A.5 – information security policies
- A.8 – asset management
- A.12 – operations security
- A.14 – secure development lifecycle
Most of your CI/CD security findings fall under:
- Secure SDLC & change control (SOC 2 CC7.x, ISO 27001 A.14)
- Technical vulnerability management (ISO 27001 A.12.6)
- Network/application security (API, web apps, containers)
- Data protection (GDPR, HIPAA, PCI DSS where applicable)
Your job as an engineering leader is to translate “tool output” → “control coverage + risk.”
Let’s make that concrete.
5 Smart Ways to Map CI/CD Findings to SOC 2 & ISO 27001
1) Normalize All CI/CD Security Findings into One Data Model
First, stop juggling 6 different JSON formats and PDF reports.
Create a normalized finding model that every tool (SAST, DAST, SCA, IaC, cloud posture, free website scanner) feeds into.
TypeScript example – a unified finding type:
type ToolSource = 'sast' | 'dast' | 'sca' | 'iac' | 'cloud' | 'webscanner';
type Severity = 'low' | 'medium' | 'high' | 'critical';
interface NormalizedFinding {
id: string;
title: string;
description?: string;
severity: Severity;
tool: ToolSource;
category: string; // e.g. "xss", "sql_injection", "weak_tls", "misconfig"
asset: string; // e.g. service name, hostname, URL
location?: string; // file:line, endpoint, resource ID
cwe?: string;
cvss?: number;
introducedBy?: string; // commit, PR, pipeline
detectedAt: string; // ISO timestamp
controls: string[]; // we'll fill these in later
tags: string[]; // e.g. ["internet-facing", "pci", "phi"]
}
Then write small adapters for each tool to map its native output to NormalizedFinding[].
Example adapter for a SAST JSON report:
function fromSast(result: any): NormalizedFinding {
return {
id: `sast-${result.issueId}`,
title: result.title,
description: result.description,
severity: normalizeSeverity(result.severity),
tool: 'sast',
category: result.category || fromCwe(result.cweId),
asset: result.projectName,
location: `${result.file}:${result.line}`,
cwe: result.cweId ? `CWE-${result.cweId}` : undefined,
detectedAt: new Date().toISOString(),
controls: [],
tags: ['code', 'sdlc'],
};
}
Once everything is normalized, mapping CI/CD security findings to SOC 2 and ISO 27001 becomes a simple transformation step.
2) Map Each Category to SOC 2, ISO 27001, and Data-Specific Frameworks
Next, create a simple mapping that tells you:
“For this type of finding, which controls and frameworks are impacted?”
This is where you connect to SOC 2, ISO 27001, HIPAA, PCI DSS, GDPR, etc.
Mapping config example:
interface ControlMap {
soc2?: string[];
iso27001?: string[];
hipaa?: string[];
pci?: string[];
gdpr?: string[];
}
const CONTROL_MAPPING: Record<string, ControlMap> = {
xss: {
soc2: ['CC7.1', 'CC7.2'],
iso27001: ['A.14.2.5'],
pci: ['6.5.7'],
},
sql_injection: {
soc2: ['CC7.1', 'CC7.2'],
iso27001: ['A.14.2.5'],
pci: ['6.5.1'],
},
weak_tls: {
soc2: ['CC6.7', 'CC7.1'],
iso27001: ['A.10.1', 'A.13.1.1'],
hipaa: ['164.312(e)(1)'],
},
misconfig: {
soc2: ['CC7.1', 'CC8.1'],
iso27001: ['A.12.1', 'A.12.6'],
gdpr: ['Art.32'],
},
insecure_iac: {
soc2: ['CC7.1', 'CC7.3'],
iso27001: ['A.14.2.8', 'A.12.1.2'],
},
};
Enrich findings with control tags:
function enrichWithControls(finding: NormalizedFinding): NormalizedFinding {
const map = CONTROL_MAPPING[finding.category] || {};
const controls: string[] = [];
map.soc2?.forEach(c => controls.push(`SOC2-${c}`));
map.iso27001?.forEach(c => controls.push(`ISO27001-${c}`));
map.hipaa?.forEach(c => controls.push(`HIPAA-${c}`));
map.pci?.forEach(c => controls.push(`PCI-${c}`));
map.gdpr?.forEach(c => controls.push(`GDPR-${c}`));
return { ...finding, controls };
}
Now every CI/CD security finding carries its compliance context:
- Devs still see category, file, pipeline.
- Auditors see “this supports SOC 2 CC7.1, ISO 27001 A.14.2.5, PCI DSS 6.5.1…”
Tip: For internet-facing web assets, include results from your free Website Vulnerability Scanner so you can map those findings to SOC 2 and ISO 27001 the same way as SAST/DAST
3) Auto-Tag Jira / GitHub Issues with Controls and Risk Context
Once your findings are enriched, push them into your issue tracker with:
- Labels for SOC 2 / ISO 27001 controls.
- Components for services or apps.
- Custom fields for frameworks or data types (PCI, PHI, PII).
Example: creating a Jira ticket from a normalized finding (Node.js):
import fetch from 'node-fetch';
async function createJiraIssue(finding: NormalizedFinding) {
const jiraUrl = process.env.JIRA_BASE_URL!;
const authToken = process.env.JIRA_TOKEN!;
const body = {
fields: {
project: { key: 'SEC' },
summary: `[${finding.severity.toUpperCase()}] ${finding.title}`,
issuetype: { name: 'Bug' },
description: `
*Tool:* ${finding.tool}
*Asset:* ${finding.asset}
*Location:* ${finding.location || 'N/A'}
*Category:* ${finding.category}
*CWE:* ${finding.cwe || 'N/A'}
*Controls:*
${finding.controls.map(c => `- ${c}`).join('\n')}
*Detected At:* ${finding.detectedAt}
`,
labels: [
'security',
...finding.controls,
...finding.tags,
],
// Example custom fields:
// "customfield_12345": finding.cvss,
// "customfield_67890": finding.introducedBy,
},
};
const resp = await fetch(`${jiraUrl}/rest/api/3/issue`, {
method: 'POST',
headers: {
'Authorization': `Basic ${authToken}`,
'Content-Type': 'application/json',
},
body: JSON.stringify(body),
});
if (!resp.ok) {
console.error('Failed to create Jira issue', await resp.text());
}
}
You can run this script:
- In a GitHub Action / GitLab job after security tools finish.
- On a schedule to ingest new findings from external tools (like your website scanner).
This makes it easy to show auditors:
- “Here’s our queue of findings mapped to controls.”
- “Here’s the workflow and SLA to close them.”
4) Build a Dev-Friendly Risk View that Auditors Also Love
Now that findings are normalized and labeled, generate two lenses from the same data:
- Engineering view – group by repo, service, pipeline, team.
- Compliance view – group by SOC 2 TSC, ISO 27001 Annex A, data type.
Grouping findings by control (TypeScript example):
function groupByControl(findings: NormalizedFinding[]) {
const grouped: Record<string, NormalizedFinding[]> = {};
for (const f of findings) {
for (const control of f.controls) {
if (!grouped[control]) grouped[control] = [];
grouped[control].push(f);
}
}
return grouped;
}
Generating a simple “auditor report” object:
interface ControlSummary {
control: string;
open: number;
highOrCritical: number;
lastDetection: string | null;
}
function summarizeForAuditors(findings: NormalizedFinding[]): ControlSummary[] {
const grouped = groupByControl(findings);
return Object.entries(grouped).map(([control, fs]) => {
const open = fs.length;
const highOrCritical = fs.filter(
f => f.severity === 'high' || f.severity === 'critical'
).length;
const lastDetection = fs
.map(f => f.detectedAt)
.sort()
.pop() || null;
return { control, open, highOrCritical, lastDetection };
});
}
Now you can render this into:
- An internal dashboard for engineering leadership.
- A PDF or spreadsheet for auditors during SOC 2 / ISO 27001 assessments.
You’re effectively:
- Mapping CI/CD security findings to SOC 2 and ISO 27001 on every run.
- Showing trends: time-to-fix, critical backlog, control coverage.
5) Close the Loop with Continuous Scans and Expert Risk Assessments
Your internal automation is powerful, but most organizations still need:
- Independent risk assessment against SOC 2, ISO 27001, HIPAA, PCI DSS, GDPR.
- Formal remediation planning so issues are handled in a prioritized, defensible way.
That’s where a specialist team like Cyber Rely and Pentest Testing Corp comes in:
- Cyber Rely delivers comprehensive cybersecurity and penetration testing services, with a strong focus on web apps, APIs, networks and cloud infrastructure.
- Through the Pentest Testing partnership, you can access focused risk assessment services for HIPAA, PCI DSS, SOC 2, ISO & GDPR and structured remediation programs to satisfy auditors and regulators. (Use:
https://www.pentesttesting.com/risk-assessment-services/andhttps://www.pentesttesting.com/remediation-services/.)
By combining:
- Your CI/CD-driven mapping of security findings to SOC 2 and ISO 27001, and
- Our formal risk assessment and remediation services,
You keep dev teams focused on delivery while still hitting compliance objectives.
Using the Free Website Vulnerability Scanner in This Workflow
Our free Website Vulnerability Scanner at https://free.pentesttesting.com/ is the easiest way to add internet-facing coverage to this model
Here’s how to slot it in:
- Scan key internet-facing assets regularly
- Production domains, staging, critical marketing or customer portals.
- Treat the scanner output as another
ToolSource = 'webscanner'.
- Normalize findings from the scanner
For each issue (e.g., missing security headers, outdated TLS, exposed admin panel), map it into yourNormalizedFindingmodel with category values likeweak_tls,misconfig,xss, etc. - Map to controls and create issues
- Weak TLS → SOC 2 CC6.7, CC7.1; ISO 27001 A.10, A.13.1
- Missing security headers → CC7.1; ISO 27001 A.12.6
- Insecure admin interface → CC6.x, CC7.x; ISO 27001 A.9, A.13
Screenshot of the free tools webpage where you can access security assessment tools for vulnerability detection:

Sample vulnerability assessment report screenshot from the tool, use it to check Website Vulnerability:

This ties the visual report directly back to your risk and compliance story.
Connect This Article to Related Cyber Rely Content
To help readers go deeper, you can naturally link to recent dev-focused security articles from your blog, for example:
- React & frontend security (SAST + web scanner integration):
- Prevent SSRF Vulnerability in React.js with 7 Best Ways
https://www.cybersrely.com/prevent-ssrf-vulnerability-in-react-js/ - Best 5 Ways for CSRF Prevention in React.js [With Examples]
https://www.cybersrely.com/5-ways-for-csrf-prevention-in-react-js/ - Prevent Sensitive Data Exposure in React.js — 7 Best Ways
https://www.cybersrely.com/prevent-sensitive-data-exposure-in-react-js/
- Prevent SSRF Vulnerability in React.js with 7 Best Ways
- API / backend / ERP security (great for mapping to SOC 2 & ISO controls):
- Prevent Remote Code Execution (RCE) in RESTful APIs
https://www.cybersrely.com/remote-code-execution-rce-in-restful-apis/ - Fix Weak SSL/TLS Configuration in TypeScript-Based ERP
https://www.cybersrely.com/fix-weak-ssl-tls-configuration-in-typescript/
- Prevent Remote Code Execution (RCE) in RESTful APIs
You can also point readers to the Cyber Rely services pages and case studies to show how you operationalize all of this in real environments.
If you’d like help designing or implementing this mapping model for your CI/CD pipelines – including integrating our free Website Vulnerability Scanner and preparing for SOC 2 or ISO 27001 – you can reach out via the Cyber Rely site or schedule a consultation directly from the services pages.
🔐 Frequently Asked Questions (FAQs)
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