cyber_llm / src /certification /enterprise_certification.py
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"""
Enterprise Certification and Compliance Validation System for Cyber-LLM
Final compliance validation, security auditing, and enterprise readiness assessment
Author: Muzan Sano <[email protected]>
"""
import asyncio
import json
import logging
import subprocess
from datetime import datetime, timedelta
from typing import Dict, List, Any, Optional, Tuple, Union
from dataclasses import dataclass, field
from enum import Enum
from pathlib import Path
import yaml
import hashlib
import ssl
import socket
import requests
from ..utils.logging_system import CyberLLMLogger, CyberLLMError, ErrorCategory
from ..governance.enterprise_governance import EnterpriseGovernanceManager, ComplianceFramework
class CertificationStandard(Enum):
"""Enterprise certification standards"""
SOC2_TYPE_II = "soc2_type_ii"
ISO27001 = "iso27001"
FEDRAMP_MODERATE = "fedramp_moderate"
NIST_CYBERSECURITY = "nist_cybersecurity"
GDPR_COMPLIANCE = "gdpr_compliance"
HIPAA_COMPLIANCE = "hipaa_compliance"
PCI_DSS = "pci_dss"
CSA_STAR = "csa_star"
class ComplianceStatus(Enum):
"""Compliance validation status"""
COMPLIANT = "compliant"
NON_COMPLIANT = "non_compliant"
PARTIAL_COMPLIANCE = "partial_compliance"
UNDER_REVIEW = "under_review"
NOT_APPLICABLE = "not_applicable"
class SecurityRating(Enum):
"""Security assessment ratings"""
EXCELLENT = "excellent" # 95-100%
GOOD = "good" # 85-94%
SATISFACTORY = "satisfactory" # 75-84%
NEEDS_IMPROVEMENT = "needs_improvement" # 60-74%
UNSATISFACTORY = "unsatisfactory" # <60%
@dataclass
class ComplianceAssessment:
"""Individual compliance assessment result"""
standard: CertificationStandard
status: ComplianceStatus
score: float # 0-100
# Assessment details
assessed_date: datetime
assessor: str
assessment_method: str
# Compliance details
requirements_met: int
total_requirements: int
critical_gaps: List[str] = field(default_factory=list)
recommendations: List[str] = field(default_factory=list)
# Evidence and documentation
evidence_files: List[str] = field(default_factory=list)
documentation_complete: bool = False
# Remediation tracking
remediation_plan: Optional[str] = None
remediation_timeline: Optional[timedelta] = None
next_assessment_date: Optional[datetime] = None
@dataclass
class SecurityAuditResult:
"""Security audit result"""
audit_id: str
audit_date: datetime
audit_type: str
# Overall rating
security_rating: SecurityRating
overall_score: float
# Detailed findings
vulnerabilities_found: int
critical_vulnerabilities: int
high_vulnerabilities: int
medium_vulnerabilities: int
low_vulnerabilities: int
# Categories assessed
network_security_score: float
application_security_score: float
data_protection_score: float
access_control_score: float
monitoring_score: float
incident_response_score: float
# Recommendations
immediate_actions: List[str] = field(default_factory=list)
short_term_improvements: List[str] = field(default_factory=list)
long_term_strategy: List[str] = field(default_factory=list)
class EnterpriseCertificationManager:
"""Enterprise certification and compliance validation system"""
def __init__(self,
governance_manager: EnterpriseGovernanceManager,
logger: Optional[CyberLLMLogger] = None):
self.governance_manager = governance_manager
self.logger = logger or CyberLLMLogger(name="enterprise_certification")
# Certification tracking
self.compliance_assessments = {}
self.security_audit_results = {}
self.certification_status = {}
# Validation tools
self.validation_tools = {}
self.automated_checks = {}
# Reporting
self.certification_reports = {}
self.logger.info("Enterprise Certification Manager initialized")
async def conduct_comprehensive_compliance_assessment(self,
standards: List[CertificationStandard]) -> Dict[str, ComplianceAssessment]:
"""Conduct comprehensive compliance assessment for multiple standards"""
assessments = {}
for standard in standards:
try:
self.logger.info(f"Starting compliance assessment for {standard.value}")
assessment = await self._assess_compliance_standard(standard)
assessments[standard.value] = assessment
# Store assessment
self.compliance_assessments[standard.value] = assessment
self.logger.info(f"Completed assessment for {standard.value}",
score=assessment.score,
status=assessment.status.value)
except Exception as e:
self.logger.error(f"Failed to assess {standard.value}", error=str(e))
# Create failed assessment record
assessments[standard.value] = ComplianceAssessment(
standard=standard,
status=ComplianceStatus.NON_COMPLIANT,
score=0.0,
assessed_date=datetime.now(),
assessor="automated_system",
assessment_method="automated_compliance_check",
requirements_met=0,
total_requirements=1,
critical_gaps=[f"Assessment failed: {str(e)}"]
)
# Generate comprehensive report
await self._generate_compliance_report(assessments)
return assessments
async def _assess_compliance_standard(self, standard: CertificationStandard) -> ComplianceAssessment:
"""Assess compliance for a specific standard"""
if standard == CertificationStandard.SOC2_TYPE_II:
return await self._assess_soc2_compliance()
elif standard == CertificationStandard.ISO27001:
return await self._assess_iso27001_compliance()
elif standard == CertificationStandard.FEDRAMP_MODERATE:
return await self._assess_fedramp_compliance()
elif standard == CertificationStandard.NIST_CYBERSECURITY:
return await self._assess_nist_compliance()
elif standard == CertificationStandard.GDPR_COMPLIANCE:
return await self._assess_gdpr_compliance()
elif standard == CertificationStandard.HIPAA_COMPLIANCE:
return await self._assess_hipaa_compliance()
elif standard == CertificationStandard.PCI_DSS:
return await self._assess_pci_dss_compliance()
else:
return await self._assess_generic_compliance(standard)
async def _assess_soc2_compliance(self) -> ComplianceAssessment:
"""Assess SOC 2 Type II compliance"""
# SOC 2 Trust Service Criteria assessment
criteria_scores = {}
# Security (Common Criteria)
security_checks = [
await self._check_access_controls(),
await self._check_network_security(),
await self._check_data_encryption(),
await self._check_incident_response(),
await self._check_vulnerability_management()
]
criteria_scores['security'] = sum(security_checks) / len(security_checks)
# Availability
availability_checks = [
await self._check_system_availability(),
await self._check_backup_procedures(),
await self._check_disaster_recovery(),
await self._check_capacity_planning()
]
criteria_scores['availability'] = sum(availability_checks) / len(availability_checks)
# Processing Integrity
integrity_checks = [
await self._check_data_validation(),
await self._check_processing_controls(),
await self._check_error_handling(),
await self._check_data_quality()
]
criteria_scores['processing_integrity'] = sum(integrity_checks) / len(integrity_checks)
# Confidentiality
confidentiality_checks = [
await self._check_data_classification(),
await self._check_confidentiality_agreements(),
await self._check_data_disposal(),
await self._check_confidential_data_protection()
]
criteria_scores['confidentiality'] = sum(confidentiality_checks) / len(confidentiality_checks)
# Privacy (if applicable)
privacy_checks = [
await self._check_privacy_notice(),
await self._check_consent_management(),
await self._check_data_subject_rights(),
await self._check_privacy_impact_assessment()
]
criteria_scores['privacy'] = sum(privacy_checks) / len(privacy_checks)
# Calculate overall score
overall_score = sum(criteria_scores.values()) / len(criteria_scores) * 100
# Determine compliance status
if overall_score >= 90:
status = ComplianceStatus.COMPLIANT
elif overall_score >= 75:
status = ComplianceStatus.PARTIAL_COMPLIANCE
else:
status = ComplianceStatus.NON_COMPLIANT
# Generate recommendations
recommendations = []
for criterion, score in criteria_scores.items():
if score < 0.8:
recommendations.append(f"Improve {criterion} controls (current score: {score:.1%})")
return ComplianceAssessment(
standard=CertificationStandard.SOC2_TYPE_II,
status=status,
score=overall_score,
assessed_date=datetime.now(),
assessor="automated_compliance_system",
assessment_method="soc2_automated_assessment",
requirements_met=sum(1 for score in criteria_scores.values() if score >= 0.8),
total_requirements=len(criteria_scores),
critical_gaps=[criterion for criterion, score in criteria_scores.items() if score < 0.6],
recommendations=recommendations,
documentation_complete=True
)
async def _assess_iso27001_compliance(self) -> ComplianceAssessment:
"""Assess ISO 27001 compliance"""
# ISO 27001 Control categories
control_scores = {}
# Information Security Policies (A.5)
control_scores['policies'] = await self._check_security_policies()
# Organization of Information Security (A.6)
control_scores['organization'] = await self._check_security_organization()
# Human Resource Security (A.7)
control_scores['human_resources'] = await self._check_hr_security()
# Asset Management (A.8)
control_scores['asset_management'] = await self._check_asset_management()
# Access Control (A.9)
control_scores['access_control'] = await self._check_access_controls()
# Cryptography (A.10)
control_scores['cryptography'] = await self._check_cryptographic_controls()
# Physical and Environmental Security (A.11)
control_scores['physical_security'] = await self._check_physical_security()
# Operations Security (A.12)
control_scores['operations_security'] = await self._check_operations_security()
# Communications Security (A.13)
control_scores['communications_security'] = await self._check_communications_security()
# System Acquisition, Development and Maintenance (A.14)
control_scores['system_development'] = await self._check_system_development_security()
# Supplier Relationships (A.15)
control_scores['supplier_relationships'] = await self._check_supplier_security()
# Information Security Incident Management (A.16)
control_scores['incident_management'] = await self._check_incident_management()
# Information Security Aspects of Business Continuity Management (A.17)
control_scores['business_continuity'] = await self._check_business_continuity()
# Compliance (A.18)
control_scores['compliance'] = await self._check_regulatory_compliance()
# Calculate overall score
overall_score = sum(control_scores.values()) / len(control_scores) * 100
# Determine compliance status
if overall_score >= 85:
status = ComplianceStatus.COMPLIANT
elif overall_score >= 70:
status = ComplianceStatus.PARTIAL_COMPLIANCE
else:
status = ComplianceStatus.NON_COMPLIANT
return ComplianceAssessment(
standard=CertificationStandard.ISO27001,
status=status,
score=overall_score,
assessed_date=datetime.now(),
assessor="iso27001_automated_assessor",
assessment_method="iso27001_control_assessment",
requirements_met=sum(1 for score in control_scores.values() if score >= 0.7),
total_requirements=len(control_scores),
critical_gaps=[control for control, score in control_scores.items() if score < 0.5],
recommendations=[f"Strengthen {control} (score: {score:.1%})" for control, score in control_scores.items() if score < 0.8],
documentation_complete=True
)
async def conduct_comprehensive_security_audit(self) -> SecurityAuditResult:
"""Conduct comprehensive security audit"""
audit_id = f"security_audit_{datetime.now().strftime('%Y%m%d_%H%M%S')}"
try:
self.logger.info("Starting comprehensive security audit")
# Network security assessment
network_score = await self._audit_network_security()
# Application security assessment
app_score = await self._audit_application_security()
# Data protection assessment
data_score = await self._audit_data_protection()
# Access control assessment
access_score = await self._audit_access_control()
# Monitoring and logging assessment
monitoring_score = await self._audit_monitoring_logging()
# Incident response assessment
incident_score = await self._audit_incident_response()
# Calculate overall score
scores = [network_score, app_score, data_score, access_score, monitoring_score, incident_score]
overall_score = sum(scores) / len(scores)
# Determine security rating
if overall_score >= 95:
rating = SecurityRating.EXCELLENT
elif overall_score >= 85:
rating = SecurityRating.GOOD
elif overall_score >= 75:
rating = SecurityRating.SATISFACTORY
elif overall_score >= 60:
rating = SecurityRating.NEEDS_IMPROVEMENT
else:
rating = SecurityRating.UNSATISFACTORY
# Simulate vulnerability counts (in production, would use actual scan results)
critical_vulns = max(0, int((100 - overall_score) / 20))
high_vulns = max(0, int((100 - overall_score) / 15))
medium_vulns = max(0, int((100 - overall_score) / 10))
low_vulns = max(0, int((100 - overall_score) / 5))
total_vulns = critical_vulns + high_vulns + medium_vulns + low_vulns
# Generate recommendations
immediate_actions = []
short_term = []
long_term = []
if critical_vulns > 0:
immediate_actions.append(f"Address {critical_vulns} critical vulnerabilities immediately")
if network_score < 80:
immediate_actions.append("Strengthen network security controls")
if access_score < 75:
short_term.append("Implement multi-factor authentication across all systems")
if monitoring_score < 70:
short_term.append("Enhance security monitoring and SIEM capabilities")
if overall_score < 85:
long_term.append("Develop comprehensive security improvement roadmap")
audit_result = SecurityAuditResult(
audit_id=audit_id,
audit_date=datetime.now(),
audit_type="comprehensive_enterprise_audit",
security_rating=rating,
overall_score=overall_score,
vulnerabilities_found=total_vulns,
critical_vulnerabilities=critical_vulns,
high_vulnerabilities=high_vulns,
medium_vulnerabilities=medium_vulns,
low_vulnerabilities=low_vulns,
network_security_score=network_score,
application_security_score=app_score,
data_protection_score=data_score,
access_control_score=access_score,
monitoring_score=monitoring_score,
incident_response_score=incident_score,
immediate_actions=immediate_actions,
short_term_improvements=short_term,
long_term_strategy=long_term
)
self.security_audit_results[audit_id] = audit_result
self.logger.info("Security audit completed",
audit_id=audit_id,
rating=rating.value,
score=overall_score)
return audit_result
except Exception as e:
self.logger.error("Security audit failed", error=str(e))
raise CyberLLMError("Security audit failed", ErrorCategory.SECURITY)
async def generate_enterprise_readiness_report(self) -> Dict[str, Any]:
"""Generate comprehensive enterprise readiness report"""
report_id = f"enterprise_readiness_{datetime.now().strftime('%Y%m%d_%H%M%S')}"
try:
# Conduct all assessments if not already done
if not self.compliance_assessments:
await self.conduct_comprehensive_compliance_assessment([
CertificationStandard.SOC2_TYPE_II,
CertificationStandard.ISO27001,
CertificationStandard.NIST_CYBERSECURITY,
CertificationStandard.GDPR_COMPLIANCE
])
if not self.security_audit_results:
await self.conduct_comprehensive_security_audit()
# Calculate enterprise readiness score
compliance_scores = [assessment.score for assessment in self.compliance_assessments.values()]
avg_compliance_score = sum(compliance_scores) / len(compliance_scores)
security_scores = [audit.overall_score for audit in self.security_audit_results.values()]
avg_security_score = sum(security_scores) / len(security_scores) if security_scores else 0
# Weight: 60% compliance, 40% security
enterprise_readiness_score = (avg_compliance_score * 0.6) + (avg_security_score * 0.4)
# Determine readiness level
if enterprise_readiness_score >= 95:
readiness_level = "PRODUCTION_READY"
elif enterprise_readiness_score >= 85:
readiness_level = "ENTERPRISE_READY"
elif enterprise_readiness_score >= 75:
readiness_level = "NEAR_READY"
elif enterprise_readiness_score >= 60:
readiness_level = "DEVELOPMENT_READY"
else:
readiness_level = "NOT_READY"
# Generate comprehensive report
report = {
"report_id": report_id,
"generated_at": datetime.now().isoformat(),
"enterprise_readiness": {
"overall_score": enterprise_readiness_score,
"readiness_level": readiness_level,
"compliance_score": avg_compliance_score,
"security_score": avg_security_score
},
"compliance_assessment": {
standard.value: {
"status": assessment.status.value,
"score": assessment.score,
"requirements_met": f"{assessment.requirements_met}/{assessment.total_requirements}"
} for standard, assessment in [(CertificationStandard(k), v) for k, v in self.compliance_assessments.items()]
},
"security_assessment": {
audit_id: {
"rating": audit.security_rating.value,
"score": audit.overall_score,
"vulnerabilities": audit.vulnerabilities_found,
"critical_vulnerabilities": audit.critical_vulnerabilities
} for audit_id, audit in self.security_audit_results.items()
},
"certification_status": {
"ready_for_certification": readiness_level in ["PRODUCTION_READY", "ENTERPRISE_READY"],
"recommended_certifications": self._recommend_certifications(enterprise_readiness_score),
"certification_timeline": self._estimate_certification_timeline(readiness_level)
},
"recommendations": {
"immediate": self._get_immediate_recommendations(),
"short_term": self._get_short_term_recommendations(),
"long_term": self._get_long_term_recommendations()
},
"next_steps": self._get_certification_next_steps(readiness_level)
}
self.certification_reports[report_id] = report
self.logger.info("Enterprise readiness report generated",
report_id=report_id,
readiness_level=readiness_level,
score=enterprise_readiness_score)
return report
except Exception as e:
self.logger.error("Failed to generate enterprise readiness report", error=str(e))
raise CyberLLMError("Enterprise readiness report generation failed", ErrorCategory.REPORTING)
# Security check methods (simplified implementations)
async def _check_access_controls(self) -> float:
"""Check access control implementation"""
# Simulate access control assessment
checks = [
True, # Multi-factor authentication
True, # Role-based access control
True, # Principle of least privilege
True, # Regular access reviews
True # Strong password policies
]
return sum(checks) / len(checks)
async def _check_network_security(self) -> float:
"""Check network security controls"""
checks = [
True, # Firewall configuration
True, # Network segmentation
True, # Intrusion detection
True, # VPN security
True # Network monitoring
]
return sum(checks) / len(checks)
async def _check_data_encryption(self) -> float:
"""Check data encryption implementation"""
checks = [
True, # Data at rest encryption
True, # Data in transit encryption
True, # Key management
True, # Certificate management
True # Encryption strength
]
return sum(checks) / len(checks)
async def _audit_network_security(self) -> float:
"""Audit network security"""
return 88.5 # Simulated score
async def _audit_application_security(self) -> float:
"""Audit application security"""
return 92.0 # Simulated score
async def _audit_data_protection(self) -> float:
"""Audit data protection"""
return 90.5 # Simulated score
async def _audit_access_control(self) -> float:
"""Audit access control"""
return 89.0 # Simulated score
async def _audit_monitoring_logging(self) -> float:
"""Audit monitoring and logging"""
return 87.5 # Simulated score
async def _audit_incident_response(self) -> float:
"""Audit incident response"""
return 85.0 # Simulated score
def _recommend_certifications(self, readiness_score: float) -> List[str]:
"""Recommend appropriate certifications"""
recommendations = []
if readiness_score >= 90:
recommendations.extend([
"SOC 2 Type II",
"ISO 27001",
"FedRAMP Moderate"
])
elif readiness_score >= 80:
recommendations.extend([
"SOC 2 Type II",
"ISO 27001"
])
elif readiness_score >= 70:
recommendations.append("SOC 2 Type II")
return recommendations
def _estimate_certification_timeline(self, readiness_level: str) -> Dict[str, str]:
"""Estimate certification timeline"""
timelines = {
"PRODUCTION_READY": "2-4 months",
"ENTERPRISE_READY": "3-6 months",
"NEAR_READY": "6-9 months",
"DEVELOPMENT_READY": "9-12 months",
"NOT_READY": "12+ months"
}
return {
"estimated_timeline": timelines.get(readiness_level, "Unknown"),
"factors": [
"Completion of remediation items",
"Third-party auditor scheduling",
"Documentation review process",
"Evidence collection and validation"
]
}
# Factory function
def create_enterprise_certification_manager(governance_manager: EnterpriseGovernanceManager, **kwargs) -> EnterpriseCertificationManager:
"""Create enterprise certification manager"""
return EnterpriseCertificationManager(governance_manager, **kwargs)