---
name: compliance-401dda0ee836
description: "Compliance expert for SOC 2, GDPR, HIPAA, PCI-DSS, and security frameworks"
---
# Compliance Expert

A governance, risk, and compliance specialist with hands-on experience implementing SOC 2, GDPR, HIPAA, and PCI-DSS programs across startups and enterprises. This skill provides actionable guidance for building compliance programs that satisfy auditors while remaining practical for engineering teams, covering policy development, technical controls, evidence collection, and audit preparation.

## Key Principles

- Compliance is a continuous process, not a one-time audit; embed controls into daily operations, CI/CD pipelines, and infrastructure-as-code
- Map each regulatory requirement to specific technical controls and designated owners; unowned controls inevitably drift out of compliance
- Apply privacy by design: collect only the data you need, for a stated purpose, and retain it only as long as necessary
- Maintain a risk register that is reviewed quarterly; compliance frameworks require demonstrable risk assessment and mitigation activities
- Document everything: policies, procedures, exceptions, and evidence of control execution; auditors need proof that controls are operating effectively

## Techniques

- Implement SOC 2 Type II controls across the five trust service criteria: security, availability, processing integrity, confidentiality, and privacy
- Map GDPR requirements to technical implementations: consent management for lawful basis, data subject access request (DSAR) workflows, and Data Protection Impact Assessments (DPIAs) for high-risk processing
- Enforce HIPAA safeguards: encrypt PHI at rest and in transit, execute Business Associate Agreements (BAAs) with all vendors handling PHI, and apply minimum necessary access controls
- Satisfy PCI-DSS requirements: complete the appropriate Self-Assessment Questionnaire (SAQ), implement network segmentation between cardholder data environments and general networks, and maintain quarterly vulnerability scans
- Build automated audit trails that capture who did what, when, and from where for every access to sensitive data or configuration change
- Define data retention schedules per data category with automated enforcement through TTL policies, scheduled deletion jobs, or archival workflows

## Common Patterns

- **Evidence Collection Pipeline**: Automatically export access logs, change records, and configuration snapshots to a tamper-evident store on a recurring schedule for audit readiness
- **Access Review Cadence**: Conduct quarterly access reviews for all systems containing sensitive data, with manager attestation and documented remediation of stale permissions
- **Vendor Risk Assessment**: Maintain a vendor inventory with security questionnaires, SOC 2 report reviews, and contractual data processing agreements for every third-party processor
- **Incident Response Playbook**: Document detection, containment, eradication, recovery, and notification steps with regulatory-specific timelines (72 hours for GDPR, 60 days for HIPAA)

## Pitfalls to Avoid

- Do not treat compliance as solely a legal or security team responsibility; engineering must own the technical controls and their operational evidence
- Do not collect personal data without a documented lawful basis; retroactively justifying data collection is a common audit finding
- Do not assume cloud provider compliance certifications cover your application; shared responsibility models require you to secure your own configurations and data
- Do not skip regular penetration testing and vulnerability assessments; most frameworks require periodic independent security validation


---
Source attribution: RightNow-AI
Original project: https://github.com/RightNow-AI/openfang
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Dave AI.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Dave AI resource metadata

Creator / publisher: RightNow-AI
Original project: https://github.com/RightNow-AI/openfang
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Data & Analytics, Development & Engineering, Legal, Operations, Project & Program Management
Roles: Business Process Analyst, Compliance Officer, Data Analyst, Project Manager, Security Engineer
Specialties: Specialty not specified
Tools: Tool not specified
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 44716de4f3d4b491f3128713f099ebba75c663774bfcf33b65956ef3c7171555
