integrations/atom_enterprise_security_service.py

"""
ATOM Enterprise Security Service
Advanced enterprise-grade security with AI-powered threat detection and compliance automation
"""

import asyncio
import base64
from collections import Counter, defaultdict
from dataclasses import asdict, dataclass
from datetime import datetime, timedelta, timezone
from enum import Enum
import hashlib
from ipaddress import ip_address, ip_network
import json
import logging
import os
import re
import time
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import aiohttp
from cryptography.fernet import Fernet
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC
import geoip2.database
import httpx
import jwt
import numpy as np
import pandas as pd
from core.circuit_breaker import circuit_breaker
from core.rate_limiter import rate_limiter, should_retry, calculate_backoff
from core.audit_logger import log_integration_call, log_integration_error, log_integration_attempt, log_integration_complete
from fastapi import HTTPException


# Import existing ATOM services
try:
    from ai_enhanced_service import (
        AIModelType,
        AIRequest,
        AIResponse,
        AIServiceType,
        AITaskType,
        ai_enhanced_service,
    )
    from atom_ai_integration import atom_ai_integration
    from atom_ingestion_pipeline import AtomIngestionPipeline
    from atom_memory_service import AtomMemoryService
    from atom_search_service import AtomSearchService
    from atom_workflow_service import AtomWorkflowService
except ImportError as e:
    logging.warning(f"Enterprise security services not available: {e}")

# Configure logging
logger = logging.getLogger(__name__)

class SecurityLevel(Enum):
    """Security levels for enterprise"""
    BASIC = "basic"
    STANDARD = "standard"
    ADVANCED = "advanced"
    ENTERPRISE = "enterprise"
    GOVERNMENT = "government"

class ComplianceStandard(Enum):
    """Compliance standards"""
    GDPR = "gdpr"
    CCPA = "ccpa"
    HIPAA = "hipaa"
    SOX = "sox"
    SOC2 = "soc2"
    ISO27001 = "iso27001"
    PCI_DSS = "pci_dss"
    NIST = "nist"
    FEDRAMP = "fedramp"

class ThreatType(Enum):
    """Threat types for detection"""
    SQL_INJECTION = "sql_injection"
    XSS = "xss"
    CSRF = "csrf"
    AUTH_BYPASS = "auth_bypass"
    PRIVILEGE_ESCALATION = "privilege_escalation"
    DATA_EXFILTRATION = "data_exfiltration"
    DDoS = "ddos"
    MALWARE = "malware"
    PHISHING = "phishing"
    INSIDER_THREAT = "insider_threat"
    ANOMALOUS_BEHAVIOR = "anomalous_behavior"
    COMPROMISED_ACCOUNT = "compromised_account"

class AuditEventType(Enum):
    """Audit event types"""
    USER_LOGIN = "user_login"
    USER_LOGOUT = "user_logout"
    ACCESS_GRANTED = "access_granted"
    ACCESS_DENIED = "access_denied"
    DATA_ACCESS = "data_access"
    DATA_MODIFICATION = "data_modification"
    FILE_UPLOAD = "file_upload"
    FILE_DOWNLOAD = "file_download"
    MESSAGE_SENT = "message_sent"
    WORKFLOW_EXECUTED = "workflow_executed"
    CONFIG_CHANGED = "config_changed"
    SECURITY_ALERT = "security_alert"
    COMPLIANCE_CHECK = "compliance_check"

@dataclass
class SecurityPolicy:
    """Security policy data model"""
    policy_id: str
    name: str
    description: str
    security_level: SecurityLevel
    compliance_standards: List[ComplianceStandard]
    rules: List[Dict[str, Any]]
    enforcement_actions: List[str]
    exceptions: List[str]
    created_at: datetime
    updated_at: datetime
    created_by: str
    is_active: bool = True
    version: int = 1

@dataclass
class ThreatDetection:
    """Threat detection data model"""
    detection_id: str
    threat_type: ThreatType
    severity: str
    confidence: float
    source_ip: str
    user_id: str
    session_id: str
    timestamp: datetime
    description: str
    indicators: List[str]
    mitigated: bool = False
    mitigation_actions: List[str] = None
    metadata: Dict[str, Any] = None

@dataclass
class ComplianceReport:
    """Compliance report data model"""
    report_id: str
    standard: ComplianceStandard
    period: str
    overall_score: float
    findings: List[Dict[str, Any]]
    recommendations: List[str]
    artifacts: List[str]
    generated_at: datetime
    generated_by: str

@dataclass
class SecurityAudit:
    """Security audit data model"""
    audit_id: str
    event_type: AuditEventType
    user_id: str
    resource: str
    action: str
    result: str
    ip_address: str
    user_agent: str
    timestamp: datetime
    metadata: Dict[str, Any] = None

class AtomEnterpriseSecurityService:
    """Enterprise-grade security service with AI-powered threat detection"""
    
    def __init__(self, tenant_id: str = "default", config: Dict[str, Any] = None):
        if config is None:
            config = {}
        self.config = config
        self.db = config.get('database')
        self.cache = config.get('cache')
        self.ai_service = config.get('ai_service')
        
        # Security configurations
        self.security_config = {
            'encryption_key': config.get('encryption_key') or self._generate_encryption_key(),
            'session_timeout': config.get('session_timeout', 3600),  # 1 hour
            'max_login_attempts': config.get('max_login_attempts', 5),
            'lockout_duration': config.get('lockout_duration', 900),  # 15 minutes
            'password_policy': config.get('password_policy', {
                'min_length': 12,
                'require_upper': True,
                'require_lower': True,
                'require_numbers': True,
                'require_special': True,
                'prevent_reuse': 5
            }),
            'geoip_database': config.get('geoip_database', 'GeoLite2-City.mmdb'),
            'threat_intelligence_apis': config.get('threat_intelligence_apis', []),
            'ai_threat_detection': config.get('ai_threat_detection', True),
            'compliance_standards': config.get('compliance_standards', [
                ComplianceStandard.GDPR,
                ComplianceStandard.CCPA,
                ComplianceStandard.SOC2,
                ComplianceStandard.ISO27001
            ])
        }
        
        # Initialize encryption
        self.cipher_suite = Fernet(self.security_config['encryption_key'])
        
        # Security state
        self.active_policies: Dict[str, SecurityPolicy] = {}
        self.threat_detections: List[ThreatDetection] = []
        self.audit_logs: List[SecurityAudit] = []
        self.compliance_reports: Dict[str, ComplianceReport] = {}
        
        # IP and session management
        self.blocked_ips: Dict[str, datetime] = {}
        self.active_sessions: Dict[str, Dict[str, Any]] = {}
        self.user_security_contexts: Dict[str, Dict[str, Any]] = {}
        
        # Threat detection patterns
        self.malicious_patterns = self._load_malicious_patterns()
        self.anomaly_baselines = {}
        self.threat_intelligence_cache = {}
        
        # HTTP sessions for security APIs
        self.http_session = aiohttp.ClientSession(
            timeout=aiohttp.ClientTimeout(total=30)
        )
        
        # Performance metrics
        self.security_metrics = {
            'total_threats_detected': 0,
            'threats_mitigated': 0,
            'audit_events_logged': 0,
            'compliance_checks_passed': 0,
            'security_policies_enforced': 0,
            'false_positives': 0,
            'average_threat_detection_time': 0.0
        }
        
        logger.info("Enterprise Security Service initialized")
    
    async def initialize(self) -> bool:
        """Initialize enterprise security service"""
        try:
            # Initialize encryption
            await self._initialize_encryption()
            
            # Load security policies
            await self._load_security_policies()
            
            # Initialize threat detection
            await self._initialize_threat_detection()
            
            # Start security monitoring
            await self._start_security_monitoring()
            
            # Initialize compliance monitoring
            await self._initialize_compliance_monitoring()
            
            logger.info("Enterprise Security Service initialized successfully")
            return True
            
        except Exception as e:
            logger.error(f"Error initializing enterprise security service: {e}")
            return False
    
    async def create_security_policy(self, policy_data: Dict[str, Any], user_id: str) -> Dict[str, Any]:
        """Create enterprise security policy"""
        # Start audit logging
        audit_ctx = log_integration_attempt("atom_enterprise_security", "initialize", locals())
        try:
            # Check circuit breaker
            if not await circuit_breaker.is_enabled("atom_enterprise_security"):
                logger.warning(f"Circuit breaker is open for atom_enterprise_security")
                log_integration_complete(audit_ctx, error=Exception("Circuit breaker open"))
                raise HTTPException(
                    status_code=503,
                    detail=f"Atom_enterprise_security integration temporarily disabled"
                )

            # Check rate limiter
            is_limited, remaining = await rate_limiter.is_rate_limited("atom_enterprise_security")
            if is_limited:
                logger.warning(f"Rate limit exceeded for atom_enterprise_security")
                log_integration_complete(audit_ctx, error=Exception("Rate limit exceeded"))
                raise HTTPException(
                    status_code=429,
                    detail=f"Rate limit exceeded for atom_enterprise_security"
                )

            policy_id = f"policy_{int(time.time())}_{hashlib.md5(policy_data['name'].encode()).hexdigest()[:8]}"
            security_policy = SecurityPolicy(
                policy_id=policy_id,
                name=policy_data['name'],
                description=policy_data['description'],
                security_level=SecurityLevel(policy_data['security_level']),
                compliance_standards=[ComplianceStandard(standard) for standard in policy_data['compliance_standards']],
                rules=policy_data['rules'],
                enforcement_actions=policy_data['enforcement_actions'],
                exceptions=policy_data.get('exceptions', []),
                created_at=datetime.utcnow(),
                updated_at=datetime.utcnow(),
                created_by=user_id
            )
            # Validate policy
            validation_result = await self._validate_security_policy(security_policy)
            if not validation_result['valid']:
                return {
                    'ok': False,
                    'error': f"Policy validation failed: {validation_result['errors']}"
                }
            # Store policy
            self.active_policies[policy_id] = security_policy
            # Store in database
            if self.db:
                await self.db.store_security_policy(asdict(security_policy))
            # Log audit event
            await self._log_security_audit(
                event_type=AuditEventType.CONFIG_CHANGED,
                user_id=user_id,
                resource='security_policy',
                action='create',
                result='success',
                metadata={'policy_id': policy_id, 'policy_name': policy_data['name']}
            )
            return {
                'ok': True,
                'policy_id': policy_id,
                'policy': asdict(security_policy),
                'message': "Security policy created successfully"
            }
        except Exception as e:
            logger.error(f"Operation failed: {e}")
            log_integration_complete(audit_ctx, error=e)
            logger.error(f"Error creating security policy: {e}")
            return {'ok': False, 'error': str(e)}
    
    async def detect_threat(self, event_data: Dict[str, Any]) -> ThreatDetection:
        """Detect security threats using AI and pattern matching"""
        # Start audit logging
        audit_ctx = log_integration_attempt("atom_enterprise_security", "create_security_policy", locals())
            # Check circuit breaker
            if not await circuit_breaker.is_enabled("atom_enterprise_security"):
                logger.warning(f"Circuit breaker is open for atom_enterprise_security")
                log_integration_complete(audit_ctx, error=Exception("Circuit breaker open"))
                raise HTTPException(
                    status_code=503,
                    detail=f"Atom_enterprise_security integration temporarily disabled"
                )
            # Check rate limiter
            is_limited, remaining = await rate_limiter.is_rate_limited("atom_enterprise_security")
            if is_limited:
                logger.warning(f"Rate limit exceeded for atom_enterprise_security")
                log_integration_complete(audit_ctx, error=Exception("Rate limit exceeded"))
                raise HTTPException(
                    status_code=429,
                    detail=f"Rate limit exceeded for atom_enterprise_security"
                )
        try:
            start_time = time.time()
            
            # Extract event metadata
            source_ip = event_data.get('source_ip')
            user_id = event_data.get('user_id')
            session_id = event_data.get('session_id')
            event_type = event_data.get('event_type')
            
            # Pattern-based detection
            pattern_threats = await self._pattern_based_detection(event_data)
            
            # Behavioral anomaly detection
            anomaly_threats = await self._behavioral_anomaly_detection(event_data)
            
            # AI-powered threat detection
            ai_threats = []
            if self.security_config['ai_threat_detection'] and self.ai_service:
                ai_threats = await self._ai_threat_detection(event_data)
            
            # Consolidate threats
            all_threats = pattern_threats + anomaly_threats + ai_threats
            
            # Create threat detection records
            threat_detections = []
            for threat_info in all_threats:
                detection_id = f"threat_{int(time.time())}_{hashlib.md5(str(threat_info).encode()).hexdigest()[:8]}"
                
                threat_detection = ThreatDetection(
                    detection_id=detection_id,
                    threat_type=ThreatType(threat_info['type']),
                    severity=threat_info['severity'],
                    confidence=threat_info['confidence'],
                    source_ip=source_ip,
                    user_id=user_id,
                    session_id=session_id,
                    timestamp=datetime.utcnow(),
                    description=threat_info['description'],
                    indicators=threat_info.get('indicators', []),
                    metadata=threat_info.get('metadata', {})
                )
                
                threat_detections.append(threat_detection)
                self.threat_detections.append(threat_detection)
            
            # Mitigate high-severity threats
            for threat in threat_detections:
                if threat.severity in ['critical', 'high']:
                    await self._mitigate_threat(threat)
            
            # Update metrics
            detection_time = time.time() - start_time
            self.security_metrics['total_threats_detected'] += len(threat_detections)
            self.security_metrics['average_threat_detection_time'] = (
                (self.security_metrics['average_threat_detection_time'] * (self.security_metrics['total_threats_detected'] - len(threat_detections)) + detection_time)
                / self.security_metrics['total_threats_detected']
            )
            
            return threat_detections[0] if threat_detections else None
        
        except Exception as e:
            logger.error(f"Error detecting threat: {e}")
            return None
    
    async def audit_event(self, event_data: Dict[str, Any]) -> SecurityAudit:
        """Audit security events"""
        # Start audit logging
        audit_ctx = log_integration_attempt("atom_enterprise_security", "detect_threat", locals())
            # Check circuit breaker
            if not await circuit_breaker.is_enabled("atom_enterprise_security"):
                logger.warning(f"Circuit breaker is open for atom_enterprise_security")
                log_integration_complete(audit_ctx, error=Exception("Circuit breaker open"))
                raise HTTPException(
                    status_code=503,
                    detail=f"Atom_enterprise_security integration temporarily disabled"
                )
            # Check rate limiter
            is_limited, remaining = await rate_limiter.is_rate_limited("atom_enterprise_security")
            if is_limited:
                logger.warning(f"Rate limit exceeded for atom_enterprise_security")
                log_integration_complete(audit_ctx, error=Exception("Rate limit exceeded"))
                raise HTTPException(
                    status_code=429,
                    detail=f"Rate limit exceeded for atom_enterprise_security"
                )
        try:
            audit_id = f"audit_{int(time.time())}_{hashlib.md5(str(event_data).encode()).hexdigest()[:8]}"
            
            security_audit = SecurityAudit(
                audit_id=audit_id,
                event_type=AuditEventType(event_data['event_type']),
                user_id=event_data['user_id'],
                resource=event_data['resource'],
                action=event_data['action'],
                result=event_data['result'],
                ip_address=event_data['ip_address'],
                user_agent=event_data.get('user_agent', ''),
                timestamp=datetime.utcnow(),
                metadata=event_data.get('metadata', {})
            )
            
            # Store audit log
            self.audit_logs.append(security_audit)
            
            # Store in database
            if self.db:
                await self.db.store_security_audit(asdict(security_audit))
            
            # Update metrics
            self.security_metrics['audit_events_logged'] += 1
            
            # Check compliance
            await self._check_compliance_for_event(security_audit)
            
            return security_audit
        
        except Exception as e:
            logger.error(f"Error auditing event: {e}")
            return None
    
    async def check_compliance(self, standard: ComplianceStandard, period: str = 'monthly') -> ComplianceReport:
        """Generate compliance report"""
        # Start audit logging
        audit_ctx = log_integration_attempt("atom_enterprise_security", "audit_event", locals())
            # Check circuit breaker
            if not await circuit_breaker.is_enabled("atom_enterprise_security"):
                logger.warning(f"Circuit breaker is open for atom_enterprise_security")
                log_integration_complete(audit_ctx, error=Exception("Circuit breaker open"))
                raise HTTPException(
                    status_code=503,
                    detail=f"Atom_enterprise_security integration temporarily disabled"
                )
            # Check rate limiter
            is_limited, remaining = await rate_limiter.is_rate_limited("atom_enterprise_security")
            if is_limited:
                logger.warning(f"Rate limit exceeded for atom_enterprise_security")
                log_integration_complete(audit_ctx, error=Exception("Rate limit exceeded"))
                raise HTTPException(
                    status_code=429,
                    detail=f"Rate limit exceeded for atom_enterprise_security"
                )
        try:
            report_id = f"compliance_{standard.value}_{period}_{int(time.time())}"
            
            # Get compliance data
            compliance_data = await self._get_compliance_data(standard, period)
            
            # AI-powered compliance analysis
            compliance_analysis = await self._ai_compliance_analysis(standard, compliance_data)
            
            # Calculate overall score
            overall_score = self._calculate_compliance_score(compliance_analysis)
            
            # Generate findings and recommendations
            findings = compliance_analysis.get('findings', [])
            recommendations = compliance_analysis.get('recommendations', [])
            
            compliance_report = ComplianceReport(
                report_id=report_id,
                standard=standard,
                period=period,
                overall_score=overall_score,
                findings=findings,
                recommendations=recommendations,
                artifacts=compliance_analysis.get('artifacts', []),
                generated_at=datetime.utcnow(),
                generated_by='enterprise_security_service'
            )
            
            # Store report
            self.compliance_reports[report_id] = compliance_report
            
            # Update metrics
            if overall_score >= 80:
                self.security_metrics['compliance_checks_passed'] += 1
            
            return compliance_report
        
        except Exception as e:
            logger.error(f"Error checking compliance: {e}")
            return None
    
    async def encrypt_data(self, data: str, context: Dict[str, Any] = None) -> str:
        """Encrypt sensitive data"""
        # Start audit logging
        audit_ctx = log_integration_attempt("atom_enterprise_security", "check_compliance", locals())
            # Check circuit breaker
            if not await circuit_breaker.is_enabled("atom_enterprise_security"):
                logger.warning(f"Circuit breaker is open for atom_enterprise_security")
                log_integration_complete(audit_ctx, error=Exception("Circuit breaker open"))
                raise HTTPException(
                    status_code=503,
                    detail=f"Atom_enterprise_security integration temporarily disabled"
                )
            # Check rate limiter
            is_limited, remaining = await rate_limiter.is_rate_limited("atom_enterprise_security")
            if is_limited:
                logger.warning(f"Rate limit exceeded for atom_enterprise_security")
                log_integration_complete(audit_ctx, error=Exception("Rate limit exceeded"))
                raise HTTPException(
                    status_code=429,
                    detail=f"Rate limit exceeded for atom_enterprise_security"
                )
        try:
            # Add context to data if provided
            if context:
                context_data = json.dumps(context)
                data_with_context = f"{data}|{context_data}"
            else:
                data_with_context = data
            
            # Encrypt data
            encrypted_data = self.cipher_suite.encrypt(data_with_context.encode())
            return base64.b64encode(encrypted_data).decode()
        
        except Exception as e:
            logger.error(f"Error encrypting data: {e}")
            raise
    
    async def decrypt_data(self, encrypted_data: str) -> Tuple[str, Optional[Dict[str, Any]]]:
        """Decrypt sensitive data"""
        # Start audit logging
        audit_ctx = log_integration_attempt("atom_enterprise_security", "encrypt_data", locals())
            # Check circuit breaker
            if not await circuit_breaker.is_enabled("atom_enterprise_security"):
                logger.warning(f"Circuit breaker is open for atom_enterprise_security")
                log_integration_complete(audit_ctx, error=Exception("Circuit breaker open"))
                raise HTTPException(
                    status_code=503,
                    detail=f"Atom_enterprise_security integration temporarily disabled"
                )
            # Check rate limiter
            is_limited, remaining = await rate_limiter.is_rate_limited("atom_enterprise_security")
            if is_limited:
                logger.warning(f"Rate limit exceeded for atom_enterprise_security")
                log_integration_complete(audit_ctx, error=Exception("Rate limit exceeded"))
                raise HTTPException(
                    status_code=429,
                    detail=f"Rate limit exceeded for atom_enterprise_security"
                )
        try:
            # Decode and decrypt
            encrypted_bytes = base64.b64decode(encrypted_data.encode())
            decrypted_data = self.cipher_suite.decrypt(encrypted_bytes).decode()
            
            # Split data and context
            if '|' in decrypted_data:
                data, context_json = decrypted_data.split('|', 1)
                context = json.loads(context_json) if context_json else None
                return data, context
            else:
                return decrypted_data, None
        
        except Exception as e:
            logger.error(f"Error decrypting data: {e}")
            raise
    
    async def validate_password(self, password: str, user_context: Dict[str, Any] = None) -> Dict[str, Any]:
        """Validate password against security policy"""
        # Start audit logging
        audit_ctx = log_integration_attempt("atom_enterprise_security", "decrypt_data", locals())
            # Check circuit breaker
            if not await circuit_breaker.is_enabled("atom_enterprise_security"):
                logger.warning(f"Circuit breaker is open for atom_enterprise_security")
                log_integration_complete(audit_ctx, error=Exception("Circuit breaker open"))
                raise HTTPException(
                    status_code=503,
                    detail=f"Atom_enterprise_security integration temporarily disabled"
                )
            # Check rate limiter
            is_limited, remaining = await rate_limiter.is_rate_limited("atom_enterprise_security")
            if is_limited:
                logger.warning(f"Rate limit exceeded for atom_enterprise_security")
                log_integration_complete(audit_ctx, error=Exception("Rate limit exceeded"))
                raise HTTPException(
                    status_code=429,
                    detail=f"Rate limit exceeded for atom_enterprise_security"
                )
        try:
            password_policy = self.security_config['password_policy']
            validation_result = {
                'valid': True,
                'score': 0,
                'issues': [],
                'suggestions': []
            }
            
            # Check length
            if len(password) < password_policy['min_length']:
                validation_result['valid'] = False
                validation_result['issues'].append(f"Password must be at least {password_policy['min_length']} characters")
            else:
                validation_result['score'] += 20
            
            # Check uppercase
            if password_policy['require_upper'] and not re.search(r'[A-Z]', password):
                validation_result['valid'] = False
                validation_result['issues'].append("Password must contain at least one uppercase letter")
            elif re.search(r'[A-Z]', password):
                validation_result['score'] += 20
            
            # Check lowercase
            if password_policy['require_lower'] and not re.search(r'[a-z]', password):
                validation_result['valid'] = False
                validation_result['issues'].append("Password must contain at least one lowercase letter")
            elif re.search(r'[a-z]', password):
                validation_result['score'] += 20
            
            # Check numbers
            if password_policy['require_numbers'] and not re.search(r'\d', password):
                validation_result['valid'] = False
                validation_result['issues'].append("Password must contain at least one number")
            elif re.search(r'\d', password):
                validation_result['score'] += 20
            
            # Check special characters
            if password_policy['require_special'] and not re.search(r'[!@#$%^&*(),.?":{}|<>]', password):
                validation_result['valid'] = False
                validation_result['issues'].append("Password must contain at least one special character")
            elif re.search(r'[!@#$%^&*(),.?":{}|<>]', password):
                validation_result['score'] += 20
            
            # Check for common patterns
            common_patterns = ['password', '123456', 'qwerty', 'admin', 'user']
            for pattern in common_patterns:
                if pattern.lower() in password.lower():
                    validation_result['valid'] = False
                    validation_result['issues'].append(f"Password contains common pattern: {pattern}")
                    break
            
            # Add suggestions
            if validation_result['score'] < 80:
                validation_result['suggestions'].append("Consider using a longer password")
                validation_result['suggestions'].append("Use a mix of different character types")
                validation_result['suggestions'].append("Avoid common words and patterns")
            
            return validation_result
        
        except Exception as e:
            logger.error(f"Error validating password: {e}")
            return {'valid': False, 'error': str(e)}
    
    async def analyze_user_behavior(self, user_id: str, timeframe: str = '24h') -> Dict[str, Any]:
        """Analyze user behavior for security threats"""
        # Start audit logging
        audit_ctx = log_integration_attempt("atom_enterprise_security", "validate_password", locals())
            # Check circuit breaker
            if not await circuit_breaker.is_enabled("atom_enterprise_security"):
                logger.warning(f"Circuit breaker is open for atom_enterprise_security")
                log_integration_complete(audit_ctx, error=Exception("Circuit breaker open"))
                raise HTTPException(
                    status_code=503,
                    detail=f"Atom_enterprise_security integration temporarily disabled"
                )
            # Check rate limiter
            is_limited, remaining = await rate_limiter.is_rate_limited("atom_enterprise_security")
            if is_limited:
                logger.warning(f"Rate limit exceeded for atom_enterprise_security")
                log_integration_complete(audit_ctx, error=Exception("Rate limit exceeded"))
                raise HTTPException(
                    status_code=429,
                    detail=f"Rate limit exceeded for atom_enterprise_security"
                )
        try:
            # Get user activity data
            user_activities = await self._get_user_activities(user_id, timeframe)
            
            # Calculate behavioral metrics
            behavior_metrics = {
                'login_frequency': self._calculate_login_frequency(user_activities),
                'access_patterns': self._analyze_access_patterns(user_activities),
                'data_access_volume': self._calculate_data_access_volume(user_activities),
                'unusual_activities': self._detect_unusual_activities(user_activities),
                'risk_score': 0.0,
                'anomalies': []
            }
            
            # AI-powered behavior analysis
            if self.ai_service:
                behavior_analysis = await self._ai_behavior_analysis(user_id, user_activities)
                behavior_metrics['risk_score'] = behavior_analysis.get('risk_score', 0.0)
                behavior_metrics['anomalies'] = behavior_analysis.get('anomalies', [])
            
            return behavior_metrics
        
        except Exception as e:
            logger.error(f"Error analyzing user behavior: {e}")
            return {'error': str(e)}
    
    # Private methods for threat detection
    async def _pattern_based_detection(self, event_data: Dict[str, Any]) -> List[Dict[str, Any]]:
        """Pattern-based threat detection"""
        # Start audit logging
        audit_ctx = log_integration_attempt("atom_enterprise_security", "analyze_user_behavior", locals())
            # Check circuit breaker
            if not await circuit_breaker.is_enabled("atom_enterprise_security"):
                logger.warning(f"Circuit breaker is open for atom_enterprise_security")
                log_integration_complete(audit_ctx, error=Exception("Circuit breaker open"))
                raise HTTPException(
                    status_code=503,
                    detail=f"Atom_enterprise_security integration temporarily disabled"
                )
            # Check rate limiter
            is_limited, remaining = await rate_limiter.is_rate_limited("atom_enterprise_security")
            if is_limited:
                logger.warning(f"Rate limit exceeded for atom_enterprise_security")
                log_integration_complete(audit_ctx, error=Exception("Rate limit exceeded"))
                raise HTTPException(
                    status_code=429,
                    detail=f"Rate limit exceeded for atom_enterprise_security"
                )
        threats = []
        
        # Check against malicious patterns
        for pattern_name, pattern_info in self.malicious_patterns.items():
            if self._matches_pattern(event_data, pattern_info):
                threats.append({
                    'type': pattern_info['threat_type'],
                    'severity': pattern_info['severity'],
                    'confidence': pattern_info['confidence'],
                    'description': f"Pattern match detected: {pattern_name}",
                    'indicators': [pattern_name]
                })
        
        return threats
    
    async def _behavioral_anomaly_detection(self, event_data: Dict[str, Any]) -> List[Dict[str, Any]]:
        """Behavioral anomaly detection"""
        threats = []
        
        user_id = event_data.get('user_id')
        if not user_id:
            return threats
        
        # Get user baseline
        baseline = self.anomaly_baselines.get(user_id, {})
        
        # Check for anomalies
        anomalies = self._detect_anomalies(event_data, baseline)
        
        for anomaly in anomalies:
            threats.append({
                'type': ThreatType.ANOMALOUS_BEHAVIOR.value,
                'severity': anomaly['severity'],
                'confidence': anomaly['confidence'],
                'description': anomaly['description'],
                'indicators': anomaly['indicators']
            })
        
        return threats
    
    async def _ai_threat_detection(self, event_data: Dict[str, Any]) -> List[Dict[str, Any]]:
        """AI-powered threat detection"""
        threats = []
        
        if not self.ai_service:
            return threats
        
            # Create AI request for threat detection
            ai_request = AIRequest(
                request_id=f"threat_ai_{int(time.time())}",
                task_type=AITaskType.CONVERSATION_ANALYSIS,  # Using conversation analysis for threat detection
                model_type=AIModelType.GPT_4,
                service_type=AIServiceType.OPENAI,
                input_data=event_data,
                context={
                    'task': 'threat_detection',
                    'event_type': event_data.get('event_type'),
                    'security_level': 'enterprise'
                },
                platform='security'
            )
            # Process AI request
            ai_response = await self.ai_service.process_ai_request(ai_request)
            if ai_response.ok and ai_response.confidence > 0.7:
                # Parse AI threat detection results
                ai_threats = self._parse_ai_threat_results(ai_response.output_data)
                threats.extend(ai_threats)
        except Exception as e:
            logger.error(f"Operation failed: {e}")
            log_integration_complete(audit_ctx, error=e)
            return {'ok': False, 'error': str(e)}
            logger.error(f"Error in AI threat detection: {e}")
        
        return threats
    
    async def _mitigate_threat(self, threat: ThreatDetection):
        """Mitigate detected threat"""
            mitigation_actions = []
            # Block IP if high severity
            if threat.severity in ['critical', 'high'] and threat.source_ip:
                await self._block_ip(threat.source_ip, duration=3600)  # 1 hour
                mitigation_actions.append(f"Blocked IP: {threat.source_ip}")
            # Terminate session if compromised
            if threat.threat_type == ThreatType.COMPROMISED_ACCOUNT and threat.session_id:
                await self._terminate_session(threat.session_id)
                mitigation_actions.append(f"Terminated session: {threat.session_id}")
            # Lock user account if insider threat
            if threat.threat_type == ThreatType.INSIDER_THREAT and threat.user_id:
                await self._lock_user_account(threat.user_id)
                mitigation_actions.append(f"Locked user account: {threat.user_id}")
            # Update threat record
            threat.mitigated = True
            threat.mitigation_actions = mitigation_actions
            # Update metrics
            self.security_metrics['threats_mitigated'] += 1
            # Log security event
            await self._log_security_audit(
                event_type=AuditEventType.SECURITY_ALERT,
                user_id='security_system',
                resource='threat_mitigation',
                action='mitigate',
                result='success',
                metadata={
                    'threat_id': threat.detection_id,
                    'threat_type': threat.threat_type.value,
                    'mitigation_actions': mitigation_actions
                }
            )
        except Exception as e:
            logger.error(f"Operation failed: {e}")
            log_integration_complete(audit_ctx, error=e)
            return {'ok': False, 'error': str(e)}
            logger.error(f"Error mitigating threat: {e}")
    
    # Private methods for compliance
    async def _get_compliance_data(self, standard: ComplianceStandard, period: str) -> Dict[str, Any]:
        """Get compliance data for analysis"""
        # Mock implementation - would pull actual compliance data
        return {
            'standard': standard.value,
            'period': period,
            'audit_logs': self.audit_logs[-100:],  # Last 100 audit logs
            'security_policies': list(self.active_policies.values()),
            'threat_detections': self.threat_detections[-50],  # Last 50 threats
            'user_activities': []  # Would pull user activities
        }
    
    async def _ai_compliance_analysis(self, standard: ComplianceStandard, compliance_data: Dict[str, Any]) -> Dict[str, Any]:
        """AI-powered compliance analysis"""
        if not self.ai_service:
            return {
                'findings': [],
                'recommendations': [],
                'score': 0.0
            }
        
            # Create AI request for compliance analysis
            ai_request = AIRequest(
                request_id=f"compliance_ai_{int(time.time())}",
                task_type=AITaskType.CONTENT_GENERATION,  # Using content generation for compliance analysis
                model_type=AIModelType.GPT_4,
                service_type=AIServiceType.OPENAI,
                input_data=compliance_data,
                context={
                    'task': 'compliance_analysis',
                    'standard': standard.value,
                    'requirements': self._get_compliance_requirements(standard)
                },
                platform='compliance'
            )
            # Process AI request
            ai_response = await self.ai_service.process_ai_request(ai_request)
            if ai_response.ok:
                return self._parse_ai_compliance_results(ai_response.output_data, standard)
            else:
                return {
                    'findings': [],
                    'recommendations': [],
                    'score': 0.0
                }
        except Exception as e:
            logger.error(f"Operation failed: {e}")
            log_integration_complete(audit_ctx, error=e)
            return {'ok': False, 'error': str(e)}
            logger.error(f"Error in AI compliance analysis: {e}")
            return {
                'findings': [],
                'recommendations': [],
                'score': 0.0
            }
    
    def _calculate_compliance_score(self, compliance_analysis: Dict[str, Any]) -> float:
        """Calculate overall compliance score"""
            findings = compliance_analysis.get('findings', [])
            # Base score of 100
            score = 100.0
            # Deduct points for findings
            for finding in findings:
                severity = finding.get('severity', 'medium')
                if severity == 'critical':
                    score -= 20
                elif severity == 'high':
                    score -= 15
                elif severity == 'medium':
                    score -= 10
                elif severity == 'low':
                    score -= 5
            return max(0.0, score)
        except Exception as e:
            logger.error(f"Operation failed: {e}")
            log_integration_complete(audit_ctx, error=e)
            return {'ok': False, 'error': str(e)}
            logger.error(f"Error calculating compliance score: {e}")
            return 0.0
    
    # Private helper methods
    def _generate_encryption_key(self) -> bytes:
        """Generate encryption key"""
        password = os.urandom(32)
        salt = os.urandom(16)
        kdf = PBKDF2HMAC(
            algorithm=hashes.SHA256(),
            length=32,
            salt=salt,
            iterations=100000,
        )
        key = base64.urlsafe_b64encode(kdf.derive(password))
        return key
    
    def _load_malicious_patterns(self) -> Dict[str, Any]:
        """Load malicious patterns for detection"""
        # Mock patterns - would load from database
        return {
            'sql_injection': {
                'threat_type': ThreatType.SQL_INJECTION.value,
                'severity': 'high',
                'confidence': 0.9,
                'patterns': [r"('|(.*--)|(;)|(\b(ALTER|CREATE|DELETE|DROP|EXEC(UTE)?|INSERT( +INTO)?|MERGE|SELECT|UPDATE)\b)"]
            },
            'xss': {
                'threat_type': ThreatType.XSS.value,
                'severity': 'medium',
                'confidence': 0.8,
                'patterns': [r"<script[^>]*>.*?</script>", r"javascript:", r"on\w+\s*="]
            },
            'path_traversal': {
                'threat_type': ThreatType.AUTH_BYPASS.value,
                'severity': 'high',
                'confidence': 0.85,
                'patterns': [r"\.\.[/\\]", r"%2e%2e[/%5c]", r"\.\./"]
            }
        }
    
    def _matches_pattern(self, event_data: Dict[str, Any], pattern_info: Dict[str, Any]) -> bool:
        """Check if event data matches malicious pattern"""
        for pattern in pattern_info.get('patterns', []):
            # Check against different fields
            for field in ['content', 'user_input', 'url', 'headers']:
                field_value = str(event_data.get(field, ''))
                if re.search(pattern, field_value, re.IGNORECASE):
                    return True
        return False
    
    async def _block_ip(self, ip_address: str, duration: int):
        """Block IP address"""
        self.blocked_ips[ip_address] = datetime.utcnow() + timedelta(seconds=duration)
        
        # Log security event
        await self._log_security_audit(
            event_type=AuditEventType.SECURITY_ALERT,
            user_id='security_system',
            resource='ip_blocking',
            action='block',
            result='success',
            metadata={'ip_address': ip_address, 'duration': duration}
        )
    
    async def _terminate_session(self, session_id: str):
        """Terminate user session"""
        if session_id in self.active_sessions:
            del self.active_sessions[session_id]
            
            # Log security event
            await self._log_security_audit(
                event_type=AuditEventType.SECURITY_ALERT,
                user_id='security_system',
                resource='session_termination',
                action='terminate',
                result='success',
                metadata={'session_id': session_id}
            )
    
    async def _lock_user_account(self, user_id: str):
        """Lock user account"""
        # Update user security context
        if user_id in self.user_security_contexts:
            self.user_security_contexts[user_id]['locked'] = True
            self.user_security_contexts[user_id]['locked_at'] = datetime.utcnow()
        
        # Log security event
        await self._log_security_audit(
            event_type=AuditEventType.SECURITY_ALERT,
            user_id='security_system',
            resource='user_account',
            action='lock',
            result='success',
            metadata={'user_id': user_id}
        )
    
    async def _log_security_audit(self, event_type: AuditEventType, user_id: str,
                               resource: str, action: str, result: str,
                               metadata: Dict[str, Any] = None):
        """Log security audit event"""
        audit_data = {
            'event_type': event_type.value,
            'user_id': user_id,
            'resource': resource,
            'action': action,
            'result': result,
            'ip_address': 'security_system',
            'user_agent': 'enterprise_security_service',
            'metadata': metadata or {}
        }
        
        audit = await self.audit_event(audit_data)
        return audit
    
    # Additional private methods would be implemented here
    async def _initialize_encryption(self):
        """Initialize encryption system"""
            logger.info("Initializing encryption system")
            # Initialize encryption keys and ciphers
            self.encryption_config = {
                "algorithm": "AES-256-GCM",
                "key_rotation_days": 90,
                "enabled": True
            }
            logger.info("Encryption system initialized successfully")
        except Exception as e:
            logger.error(f"Operation failed: {e}")
            log_integration_complete(audit_ctx, error=e)
            return {'ok': False, 'error': str(e)}
            logger.error(f"Error initializing encryption system: {e}")

    async def _load_security_policies(self):
        """Load security policies"""
            logger.info("Loading security policies")
            # Load policies from database or configuration
            self.security_policies = {
                "password_policy": {
                    "min_length": 12,
                    "require_uppercase": True,
                    "require_lowercase": True,
                    "require_numbers": True,
                    "require_special_chars": True
                },
                "access_policy": {
                    "max_failed_attempts": 5,
                    "lockout_duration_minutes": 30,
                    "session_timeout_minutes": 60
                },
                "data_policy": {
                    "encryption_at_rest": True,
                    "encryption_in_transit": True,
                    "audit_data_access": True
                }
            }
            logger.info("Security policies loaded successfully")
        except Exception as e:
            logger.error(f"Operation failed: {e}")
            log_integration_complete(audit_ctx, error=e)
            return {'ok': False, 'error': str(e)}
            logger.error(f"Error loading security policies: {e}")

    async def _initialize_threat_detection(self):
        """Initialize threat detection system"""
            logger.info("Initializing threat detection system")
            # Initialize threat detection models and rules
            self.threat_detection_config = {
                "ai_enabled": True,
                "rule_based_detection": True,
                "anomaly_detection": True,
                "real_time_monitoring": True
            }
            logger.info("Threat detection system initialized successfully")
        except Exception as e:
            logger.error(f"Operation failed: {e}")
            log_integration_complete(audit_ctx, error=e)
            return {'ok': False, 'error': str(e)}
            logger.error(f"Error initializing threat detection system: {e}")

    async def _start_security_monitoring(self):
        """Start security monitoring"""
            logger.info("Starting security monitoring")
            # Start background monitoring tasks
            self.monitoring_active = True
            logger.info("Security monitoring started successfully")
        except Exception as e:
            logger.error(f"Operation failed: {e}")
            log_integration_complete(audit_ctx, error=e)
            return {'ok': False, 'error': str(e)}
            logger.error(f"Error starting security monitoring: {e}")

    async def _initialize_compliance_monitoring(self):
        """Initialize compliance monitoring"""
            logger.info("Initializing compliance monitoring")
            # Initialize compliance monitoring for different standards
            self.compliance_monitoring = {
                "gdpr": {"enabled": True, "last_check": None},
                "hipaa": {"enabled": True, "last_check": None},
                "soc2": {"enabled": True, "last_check": None},
                "iso27001": {"enabled": True, "last_check": None}
            }
            logger.info("Compliance monitoring initialized successfully")
        except Exception as e:
            logger.error(f"Operation failed: {e}")
            log_integration_complete(audit_ctx, error=e)
            logger.error(f"Error initializing compliance monitoring: {e}")
    
    async def _validate_security_policy(self, policy: SecurityPolicy) -> Dict[str, Any]:
        """Validate security policy"""
        return {'valid': True, 'errors': []}
    
    async def _get_user_activities(self, user_id: str, timeframe: str) -> List[Dict[str, Any]]:
        """Get user activities"""
        return []
    
    def _calculate_login_frequency(self, activities: List[Dict[str, Any]]) -> float:
        """Calculate login frequency"""
        return 0.0
    
    def _analyze_access_patterns(self, activities: List[Dict[str, Any]]) -> Dict[str, Any]:
        """Analyze access patterns"""
        return {}
    
    def _calculate_data_access_volume(self, activities: List[Dict[str, Any]]) -> int:
        """Calculate data access volume"""
        return 0
    
    def _detect_unusual_activities(self, activities: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
        """Detect unusual activities"""
        return []
    
    async def _ai_behavior_analysis(self, user_id: str, activities: List[Dict[str, Any]]) -> Dict[str, Any]:
        """AI-powered behavior analysis"""
        return {}
    
    def _detect_anomalies(self, event_data: Dict[str, Any], baseline: Dict[str, Any]) -> List[Dict[str, Any]]:
        """Detect anomalies in event data"""
        return []
    
    def _parse_ai_threat_results(self, ai_output: str) -> List[Dict[str, Any]]:
        """Parse AI threat detection results"""
        return []
    
    def _get_compliance_requirements(self, standard: ComplianceStandard) -> List[str]:
        """Get compliance requirements for standard"""
        requirements = {
            ComplianceStandard.GDPR: ['data_protection', 'privacy', 'consent'],
            ComplianceStandard.HIPAA: ['phi_protection', 'access_control', 'audit_trail'],
            ComplianceStandard.SOC2: ['security', 'availability', 'confidentiality'],
            ComplianceStandard.ISO27001: ['information_security', 'risk_management', 'continuous_improvement']
        }
        return requirements.get(standard, [])
    
    def _parse_ai_compliance_results(self, ai_output: str, standard: ComplianceStandard) -> Dict[str, Any]:
        """Parse AI compliance analysis results"""
        return {
            'findings': [],
            'recommendations': [],
            'score': 0.0
        }
    
    def _check_compliance_for_event(self, audit_event: SecurityAudit):
        """Check compliance for audit event"""
            # Check event against compliance requirements
            compliance_issues = []
            # Example: Check for data access logging
            if audit_event.action == "data_access" and not audit_event.metadata.get("logged"):
                compliance_issues.append({
                    "standard": "SOC2",
                    "requirement": "audit_trail",
                    "issue": "Data access not properly logged"
                })
            # Example: Check for encryption
            if audit_event.action == "data_export" and not audit_event.metadata.get("encrypted"):
                compliance_issues.append({
                    "standard": "GDPR",
                    "requirement": "data_protection",
                    "issue": "Data export not encrypted"
                })
            return compliance_issues
        except Exception as e:
            logger.error(f"Operation failed: {e}")
            log_integration_complete(audit_ctx, error=e)
            return {'ok': False, 'error': str(e)}
            logger.error(f"Error checking compliance for event: {e}")
            return []
    
    async def get_service_info(self) -> Dict[str, Any]:
        """Get enterprise security service information"""
        return {
            "name": "Enterprise Security Service",
            "version": "6.0.0",
            "description": "Advanced enterprise-grade security with AI-powered threat detection",
            "features": [
                "multi_platform_integration",
                "threat_detection",
                "compliance_automation",
                "ai_powered_security",
                "advanced_encryption",
                "audit_logging",
                "access_control"
            ],
            "supported_platforms": ["slack", "teams", "google_chat", "discord"],
            "security_level": "enterprise",
            "status": "ACTIVE"
        }
    
    async def get_security_metrics(self) -> Dict[str, Any]:
        """Get security service metrics"""
        # Start audit logging
        audit_ctx = log_integration_attempt("atom_enterprise_security", "get_service_info", locals())
            # Check circuit breaker
            if not await circuit_breaker.is_enabled("atom_enterprise_security"):
                logger.warning(f"Circuit breaker is open for atom_enterprise_security")
                log_integration_complete(audit_ctx, error=Exception("Circuit breaker open"))
                raise HTTPException(
                    status_code=503,
                    detail=f"Atom_enterprise_security integration temporarily disabled"
                )
            # Check rate limiter
            is_limited, remaining = await rate_limiter.is_rate_limited("atom_enterprise_security")
            if is_limited:
                logger.warning(f"Rate limit exceeded for atom_enterprise_security")
                log_integration_complete(audit_ctx, error=Exception("Rate limit exceeded"))
                raise HTTPException(
                    status_code=429,
                    detail=f"Rate limit exceeded for atom_enterprise_security"
                )
        return {
            "total_threats_detected": self.security_metrics['total_threats_detected'],
            "threats_mitigated": self.security_metrics['threats_mitigated'],
            "audit_events_logged": self.security_metrics['audit_events_logged'],
            "compliance_checks_passed": self.security_metrics['compliance_checks_passed'],
            "security_policies_enforced": self.security_metrics['security_policies_enforced'],
            "false_positives": self.security_metrics['false_positives'],
            "average_threat_detection_time": self.security_metrics['average_threat_detection_time'],
            "active_policies": len(self.active_policies),
            "blocked_ips": len(self.blocked_ips),
            "active_sessions": len(self.active_sessions)
        }
    
    async def close(self):
        """Close enterprise security service"""
        # Start audit logging
        audit_ctx = log_integration_attempt("atom_enterprise_security", "get_security_metrics", locals())
            # Check circuit breaker
            if not await circuit_breaker.is_enabled("atom_enterprise_security"):
                logger.warning(f"Circuit breaker is open for atom_enterprise_security")
                log_integration_complete(audit_ctx, error=Exception("Circuit breaker open"))
                raise HTTPException(
                    status_code=503,
                    detail=f"Atom_enterprise_security integration temporarily disabled"
                )
            # Check rate limiter
            is_limited, remaining = await rate_limiter.is_rate_limited("atom_enterprise_security")
            if is_limited:
                logger.warning(f"Rate limit exceeded for atom_enterprise_security")
                log_integration_complete(audit_ctx, error=Exception("Rate limit exceeded"))
                raise HTTPException(
                    status_code=429,
                    detail=f"Rate limit exceeded for atom_enterprise_security"
                )
        # Close HTTP session
        await self.http_session.close()
        
        logger.info("Enterprise Security Service closed")

# Global enterprise security service instance
atom_enterprise_security_service = AtomEnterpriseSecurityService({
    'database': None,  # Would be actual database connection
    'cache': None,  # Would be actual cache client
    'ai_service': ai_enhanced_service,
    'encryption_key': None,  # Would be securely stored
    'session_timeout': 3600,
    'max_login_attempts': 5,
    'lockout_duration': 900,
    'password_policy': {
        'min_length': 12,
        'require_upper': True,
        'require_lower': True,
        'require_numbers': True,
        'require_special': True,
        'prevent_reuse': 5
    },
    'geoip_database': 'GeoLite2-City.mmdb',
    'threat_intelligence_apis': [],
    'ai_threat_detection': True,
    'compliance_standards': [
        ComplianceStandard.GDPR,
        ComplianceStandard.CCPA,
        ComplianceStandard.SOC2,
        ComplianceStandard.ISO27001
    ]
})
        # Start audit logging
        audit_ctx = log_integration_attempt("atom_enterprise_security", "close", locals())
            # Check circuit breaker
            if not await circuit_breaker.is_enabled("atom_enterprise_security"):
                logger.warning(f"Circuit breaker is open for atom_enterprise_security")
                log_integration_complete(audit_ctx, error=Exception("Circuit breaker open"))
                raise HTTPException(
                    status_code=503,
                    detail=f"Atom_enterprise_security integration temporarily disabled"
                )
            # Check rate limiter
            is_limited, remaining = await rate_limiter.is_rate_limited("atom_enterprise_security")
            if is_limited:
                logger.warning(f"Rate limit exceeded for atom_enterprise_security")
                log_integration_complete(audit_ctx, error=Exception("Rate limit exceeded"))
                raise HTTPException(
                    status_code=429,
                    detail=f"Rate limit exceeded for atom_enterprise_security"
                )