NeuralBlitz Compliance
What I do
I enable regulatory compliance management including mapping requirements to controls, tracking compliance status, automating evidence collection, and maintaining compliance documentation for various frameworks and regulations.
When to use me
- Implementing compliance programs for frameworks (SOC2, ISO27001, HIPAA, PCI-DSS, GDPR)
- Mapping regulatory requirements to technical controls
- Automating compliance evidence collection
- Tracking compliance status and gaps
- Preparing for audits and certifications
- Managing policy and procedure updates
- Continuous compliance monitoring
- Vendor compliance assessments
Core Concepts
- Regulatory Frameworks: SOC2, ISO27001, HIPAA, PCI-DSS, GDPR, SOX, NIST CSF
- Control Mapping: Linking requirements to implemented controls
- Evidence Management: Automated collection and storage
- Policy Management: Creation, review, and approval workflows
- Gap Analysis: Identifying compliance gaps
- Compliance Monitoring: Continuous tracking of controls
- Audit Readiness: Maintaining audit-ready state
- Risk Treatment: Accepting, mitigating, transferring risks
- Compliance Calendar: Tracking deadlines and renewals
- Reporting: Compliance status dashboards and reports
Code Examples
Compliance Framework Manager
from enum import Enum
from typing import Dict, List, Optional
from dataclasses import dataclass, field
from datetime import datetime, timedelta
class ComplianceFramework(Enum):
SOC2_TYPE2 = "SOC2"
ISO27001 = "ISO27001"
HIPAA = "HIPAA"
PCI_DSS = "PCI_DSS"
GDPR = "GDPR"
NIST_CSF = "NIST_CSF"
SOX = "SOX"
class ComplianceStatus(Enum):
COMPLIANT = "compliant"
NON_COMPLIANT = "non_compliant"
PARTIAL = "partial"
NOT_APPLICABLE = "not_applicable"
IN_PROGRESS = "in_progress"
class EvidenceType(Enum):
AUTOMATED = "automated"
MANUAL = "manual"
SYSTEM_GENERATED = "system_generated"
THIRD_PARTY = "third_party"
@dataclass
class ComplianceRequirement:
req_id: str
framework: ComplianceFramework
name: str
description: str
controls: List[str]
status: ComplianceStatus
last_reviewed: datetime
next_review: datetime
evidence: List[Dict]
notes: str
@dataclass
class ComplianceControl:
control_id: str
name: str
description: str
requirements: List[str]
implementation: str
owner: str
test_procedures: List[str]
automation_level: str
last_tested: datetime
test_results: Dict
class ComplianceManager:
def __init__(self):
self.requirements: Dict[str, ComplianceRequirement] = {}
self.controls: Dict[str, ComplianceControl] = {}
self.frameworks: Dict[ComplianceFramework, List[str]] = {}
def add_requirement(self, req: ComplianceRequirement):
self.requirements[req.req_id] = req
if req.framework not in self.frameworks:
self.frameworks[req.framework] = []
self.frameworks[req.framework].append(req.req_id)
def create_soc2_control(self, control_id: str, name: str,
trust_service_criteria: str) -> ComplianceControl:
control = ComplianceControl(
control_id=control_id,
name=name,
description=f"SOC2 control for {trust_service_criteria}",
requirements=[control_id],
implementation="Technical and administrative controls",
owner="Security Team",
test_procedures=[f"Test {name} effectiveness"],
automation_level="semi-automated",
last_tested=datetime.now(),
test_results={}
)
self.controls[control_id] = control
return control
def map_control_to_requirements(self, control_id: str, req_ids: List[str]):
if control_id in self.controls:
self.controls[control_id].requirements.extend(req_ids)
for req_id in req_ids:
if req_id in self.requirements:
if control_id not in self.requirements[req_id].controls:
self.requirements[req_id].controls.append(control_id)
def assess_requirement(self, req_id: str, status: ComplianceStatus,
notes: str, evidence: List[Dict]):
if req_id in self.requirements:
self.requirements[req_id].status = status
self.requirements[req_id].notes = notes
self.requirements[req_id].evidence.extend(evidence)
self.requirements[req_id].last_reviewed = datetime.now()
def get_framework_status(self, framework: ComplianceFramework) -> Dict:
req_ids = self.frameworks.get(framework, [])
requirements = [self.requirements[r] for r in req_ids if r in self.requirements]
total = len(requirements)
compliant = sum(1 for r in requirements if r.status == ComplianceStatus.COMPLIANT)
non_compliant = sum(1 for r in requirements if r.status == ComplianceStatus.NON_COMPLIANT)
partial = sum(1 for r in requirements if r.status == ComplianceStatus.PARTIAL)
return {
"framework": framework.value,
"total_requirements": total,
"compliant": compliant,
"non_compliant": non_compliant,
"partial": partial,
"compliance_rate": round(compliant / max(total, 1) * 100, 2)
}
def generate_compliance_report(self, framework: ComplianceFramework) -> Dict:
status = self.get_framework_status(framework)
req_ids = self.frameworks.get(framework, [])
requirements = []
for req_id in req_ids:
if req_id in self.requirements:
r = self.requirements[req_id]
requirements.append({
"id": r.req_id,
"name": r.name,
"status": r.status.value,
"controls": r.controls,
"evidence_count": len(r.evidence)
})
return {
"report_date": datetime.now().isoformat(),
"framework": framework.value,
"status": status,
"requirements": requirements,
"gaps": [r for r in requirements
if self.requirements[r["id"]].status != ComplianceStatus.COMPLIANT]
}
PCI-DSS Compliance Checker
from enum import Enum
from typing import Dict, List
from dataclasses import dataclass
from datetime import datetime
class PCIDSSRequirement(Enum):
FIREWALLS = "1.1"
ENCRYPTION = "3.4"
VULNERABILITY = "6.1"
ACCESS_CONTROL = "7.1"
MONITORING = "10.1"
TESTING = "11.1"
SECURITY_POLICY = "12.1"
@dataclass
class PCIDSSFinding:
requirement_id: str
description: str
status: str
remediation: str
evidence: str
class PCIDSSComplianceChecker:
def __init__(self):
self.findings: List[PCIDSSFinding] = []
def check_firewall_config(self, firewall_rules: List[Dict]) -> List[PCIDSSFinding]:
findings = []
for rule in firewall_rules:
if rule.get('source') == 'any' and rule.get('dest') == 'cardholder_data':
findings.append(PCIDSSFinding(
requirement_id="1.1",
description="Firewall allows unrestricted access to cardholder data",
status="FAIL",
remediation="Restrict access to least privilege required",
evidence=f"Rule: {rule}"
))
return findings
def check_encryption(self, encryption_config: Dict) -> List[PCIDSSFinding]:
findings = []
if encryption_config.get('algorithm') in ['DES', '3DES']:
findings.append(PCIDSSFinding(
requirement_id="3.4",
description="Weak encryption algorithm detected",
status="FAIL",
remediation="Use AES-256 or stronger",
evidence=f"Algorithm: {encryption_config.get('algorithm')}"
))
if not encryption_config.get('key_management'):
findings.append(PCIDSSFinding(
requirement_id="3.6",
description="Key management procedures not documented",
status="FAIL",
remediation="Document key management procedures",
evidence="Missing key management configuration"
))
return findings
def check_access_control(self, access_config: Dict) -> List[PCIDSSFinding]:
findings = []
if access_config.get('mfa_required') == False:
findings.append(PCIDSSFinding(
requirement_id="7.2",
description="Multi-factor authentication not required for cardholder data access",
status="FAIL",
remediation="Implement MFA for all access to cardholder data",
evidence="MFA disabled"
))
return findings
def run_full_assessment(self, environment: Dict) -> Dict:
self.findings = []
self.findings.extend(self.check_firewall_config(
environment.get('firewall_rules', [])
))
self.findings.extend(self.check_encryption(
environment.get('encryption_config', {})
))
self.findings.extend(self.check_access_control(
environment.get('access_config', {})
))
passed = len([f for f in self.findings if f.status == "PASS"])
failed = len([f for f in self.findings if f.status == "FAIL"])
return {
"assessment_date": datetime.now().isoformat(),
"total_requirements_tested": 12,
"passed": passed,
"failed": failed,
"compliance_status": "COMPLIANT" if failed == 0 else "NON_COMPLIANT",
"findings": [f.__dict__ for f in self.findings]
}
GDPR Compliance Tracker
from enum import Enum
from typing import Dict, List
from dataclasses import dataclass
from datetime import datetime
class GDPRArticle(Enum):
CONSENT = "7"
RIGHT_TO_ACCESS = "15"
RIGHT_TO_ERASURE = "17"
DATA_PORTABILITY = "20"
DATA_PROTECTION_BY_DESIGN = "25"
DATA_BREACH_NOTIFICATION = "33"
@dataclass
class GDPRRequirement:
article: GDPRArticle
name: str
description: str
implemented: bool
last_reviewed: datetime
evidence: List[str]
gap: str = ""
class GDPRComplianceManager:
def __init__(self):
self.requirements: Dict[GDPRArticle, GDPRRequirement] = {}
def add_requirement(self, req: GDPRRequirement):
self.requirements[req.article] = req
def check_consent_mechanism(self, consent_data: Dict) -> Dict:
findings = []
if not consent_data.get('explicit_consent'):
findings.append({
"issue": "No explicit consent mechanism found",
"remediation": "Implement explicit consent for data processing",
"article": "GDPR Article 7"
})
if not consent_data.get('withdrawal_available'):
findings.append({
"issue": "No consent withdrawal mechanism",
"remediation": "Implement easy consent withdrawal",
"article": "GDPR Article 7(3)"
})
return findings
def check_data_subject_rights(self, rights_config: Dict) -> Dict:
findings = []
rights_required = ['access', 'erasure', 'portability', 'rectification']
for right in rights_required:
if not rights_config.get(right, {}).get('implemented', False):
findings.append({
"issue": f"{right.title()} right not implemented",
"remediation": f"Implement {right} request handling",
"article": f"GDPR Article {15 + int(right in ['erasure', 'portability']) * 5}"
})
return findings
def assess_data_processing(self, processing_activities: List[Dict]) -> Dict:
high_risk_activities = []
for activity in processing_activities:
if activity.get('risk_level') == 'high':
high_risk_activities.append({
"activity": activity.get('name'),
"purpose": activity.get('purpose'),
"dpo_review": activity.get('dpo_review', False),
"pia_completed": activity.get('pia_completed', False)
})
return {
"total_activities": len(processing_activities),
"high_risk_count": len(high_risk_activities),
"high_risk_activities": high_risk_activities,
"requires_dpia": len([a for a in high_risk_activities
if not a.get('pia_completed')]) > 0
}
def generate_gdpr_report(self) -> Dict:
implemented = sum(1 for r in self.requirements.values() if r.implemented)
total = len(self.requirements)
gaps = [r for r in self.requirements.values() if not r.implemented]
return {
"report_date": datetime.now().isoformat(),
"total_requirements": total,
"implemented": implemented,
"compliance_rate": round(implemented / max(total, 1) * 100, 2),
"gaps": [{"article": g.article.value, "name": g.name, "gap": g.gap}
for g in gaps],
"priority_actions": [
"Complete DPO appointment if not done",
"Implement consent management",
"Establish breach notification procedures",
"Document all processing activities"
]
}
Best Practices
- Maintain a unified control framework mapping to multiple regulations
- Automate evidence collection wherever possible
- Conduct regular gap assessments against applicable frameworks
- Implement continuous monitoring with alerts for control drift
- Keep policies updated and accessible to employees
- Train staff on compliance requirements and their responsibilities
- Document all compliance decisions and justifications
- Use compliance management platforms for tracking
- Establish clear ownership for each control and requirement
- Regular internal audits to identify gaps before external audits
- Maintain audit trails for all compliance activities
- Engage legal counsel for regulatory interpretation
Common Patterns
- Unified Compliance: Map SOC2, ISO27001, and NIST CSF controls to common framework
- Continuous Compliance: Automated monitoring with real-time dashboards
- Compliance as Code: Infrastructure and policy as code for automated compliance
- Evidence Automation: CI/CD integration for compliance evidence collection
- Risk-Based Prioritization: Focus resources on highest-risk compliance gaps
- Vendor Compliance Management: Third-party risk and compliance assessments