NeuralBlitz What I do
- Conduct security audits and assessments
- Evaluate control effectiveness
- Review access controls and permissions
- Audit logging and monitoring
- Test for vulnerabilities
- Document findings and recommendations
When to use me
When conducting internal audits, preparing for external audits, or verifying security compliance.
Audit Framework
Audit Scope
from enum import Enum
from datetime import datetime
class AuditType(Enum):
INTERNAL = "internal"
EXTERNAL = "external"
COMPLIANCE = "compliance"
VULNERABILITY = "vulnerability"
class AuditScope:
def __init__(self, audit_type: AuditType):
self.audit_type = audit_type
self.systems = []
self.processes = []
self.standards = []
def add_system(self, system_id: str, description: str,
owner: str):
self.systems.append({
"id": system_id,
"description": description,
"owner": owner,
"classification": "internal"
})
def add_standard(self, standard: str):
self.standards.append(standard)
Control Assessment
class ControlAssessment:
"""Evaluate security controls"""
def __init__(self):
self.controls = {}
def add_control(self, control_id: str, name: str,
control_type: str, category: str):
self.controls[control_id] = {
"name": name,
"type": control_type, # preventive, detective, corrective
"category": category, # access, encryption, logging
"implemented": False,
"test_results": []
}
def test_control(self, control_id: str, test_method: str,
result: bool, evidence: str):
"""Record control test result"""
self.controls[control_id]["test_results"].append({
"test_date": datetime.now(),
"test_method": test_method,
"result": result,
"evidence": evidence
})
def calculate_effectiveness(self, control_id: str) -> float:
"""Calculate control effectiveness percentage"""
results = self.controls[control_id]["test_results"]
if not results:
return 0.0
passed = sum(1 for r in results if r["result"])
return (passed / len(results)) * 100
def get_control_status(self, control_id: str) -> str:
"""Get overall control status"""
effectiveness = self.calculate_effectiveness(control_id)
if effectiveness >= 95:
return "effective"
elif effectiveness >= 80:
return "mostly_effective"
elif effectiveness >= 60:
return "needs_improvement"
else:
return "ineffective"
Access Control Audit
class AccessControlAudit:
"""Audit user access rights"""
def __init__(self):
self.findings = []
def audit_user_access(self, user_id: str,
expected_permissions: list) -> dict:
"""Compare expected vs actual permissions"""
actual_permissions = self._get_actual_permissions(user_id)
# Find discrepancies
extra = set(actual_permissions) - set(expected_permissions)
missing = set(expected_permissions) - set(actual_permissions)
if extra or missing:
self.findings.append({
"user_id": user_id,
"extra_permissions": list(extra),
"missing_permissions": list(missing),
"severity": "high" if len(extra) > 0 else "medium"
})
return {
"user_id": user_id,
"status": "compliant" if not (extra or missing) else "non_compliant",
"extra": list(extra),
"missing": list(missing)
}
def audit_privileged_access(self) -> list:
"""Review all privileged accounts"""
privileged_users = self._get_privileged_users()
findings = []
for user in privileged_users:
if not self._requires_mfa(user):
findings.append({
"user": user,
"issue": "Privileged access without MFA",
"severity": "critical"
})
if not self._has_recent_certification(user):
findings.append({
"user": user,
"issue": "Access not recently certified",
"severity": "high"
})
return findings
def audit_service_accounts(self) -> list:
"""Review service account usage"""
service_accounts = self._get_service_accounts()
findings = []
for account in service_accounts:
if self._password_expired(account):
findings.append({
"account": account,
"issue": "Password expired",
"severity": "critical"
})
return findings
Logging Audit
class LoggingAudit:
"""Audit security logging"""
def __init__(self):
self.required_events = [
"authentication_success",
"authentication_failure",
"authorization_failure",
"privilege_change",
"data_access",
"configuration_change",
"system_event"
]
def audit_logging_coverage(self, system: str) -> dict:
"""Check if all required events are logged"""
logged_events = self._get_logged_events(system)
missing = set(self.required_events) - set(logged_events)
return {
"system": system,
"required_events": len(self.required_events),
"logged_events": len(logged_events),
"missing_events": list(missing),
"coverage_percent": len(logged_events) / len(self.required_events) * 100
}
def audit_log_protection(self) -> dict:
"""Verify logs are protected from tampering"""
checks = {
"immutability_enabled": self._check_immutable_storage(),
"integrity_verification": self._check_integrity_monitoring(),
"access_restricted": self._check_restricted_access(),
"tamper_alerts": self._check_tamper_alerts()
}
return {
"all_checks_passed": all(checks.values()),
"checks": checks
}
def audit_log_retention(self, retention_policy: int) -> dict:
"""Verify log retention compliance"""
logs = self._get_all_logs()
current_retention = self._calculate_retention(logs)
return {
"required_days": retention_policy,
"actual_days": current_retention,
"compliant": current_retention >= retention_policy
}
Audit Reporting
class AuditReport:
"""Generate audit reports"""
def __init__(self, audit_id: str):
self.audit_id = audit_id
self.findings = []
self.recommendations = []
def add_finding(self, severity: str, title: str,
description: str, evidence: str,
recommendation: str):
self.findings.append({
"id": len(self.findings) + 1,
"severity": severity, # critical, high, medium, low
"title": title,
"description": description,
"evidence": evidence,
"recommendation": recommendation,
"status": "open"
})
def generate_executive_summary(self) -> dict:
"""Generate executive summary"""
severity_counts = {}
for finding in self.findings:
sev = finding["severity"]
severity_counts[sev] = severity_counts.get(sev, 0) + 1
return {
"audit_id": self.audit_id,
"total_findings": len(self.findings),
"by_severity": severity_counts,
"risk_rating": self._calculate_overall_risk(),
"recommendations_count": len(self.recommendations)
}
def generate_full_report(self) -> dict:
"""Generate full audit report"""
return {
"executive_summary": self.generate_executive_summary(),
"scope": self.scope,
"methodology": self.methodology,
"findings": self.findings,
"recommendations": self.recommendations,
"appendices": self.evidence
}
Continuous Auditing
class ContinuousAudit:
"""Automated continuous control monitoring"""
def __init__(self):
self.monitors = {}
def add_automated_check(self, check_id: str, check_func: callable,
frequency: str):
"""Add automated control check"""
self.monitors[check_id] = {
"function": check_func,
"frequency": frequency, # hourly, daily, weekly
"last_run": None,
"last_result": None
}
def run_continuous_checks(self) -> dict:
"""Run all automated checks"""
results = {}
for check_id, monitor in self.monitors.items():
if self._should_run(monitor):
result = monitor["function"]()
monitor["last_run"] = datetime.now()
monitor["last_result"] = result
results[check_id] = result
return results
def generate_compliance_dashboard(self) -> dict:
"""Real-time compliance status"""
return {
"controls_monitored": len(self.monitors),
"passing": sum(1 for m in self.monitors.values()
if m["last_result"]),
"failing": sum(1 for m in self.monitors.values()
if not m["last_result"]),
"compliance_score": self._calculate_score()
}