"""Trust Validator - TASK_62 Phase 2 Core Security Engine.
Continuous trust validation and verification system for zero trust security.
Provides real-time trust assessment, validation criteria evaluation, and continuous monitoring.
Architecture: Zero Trust Principles + Design by Contract + Continuous Validation + Risk Assessment
Performance: <100ms trust validation, <50ms score calculation, <200ms comprehensive assessment
Security: Never trust always verify, continuous validation, comprehensive threat detection
"""
from __future__ import annotations
import asyncio
import logging
from dataclasses import dataclass, field
from datetime import UTC, datetime, timedelta
from enum import Enum
from typing import Any
from src.core.contracts import ensure, require
from src.core.either import Either
from src.core.zero_trust_architecture import (
SecurityContext,
SecurityOperation,
TrustLevel,
TrustScore,
TrustValidationError,
TrustValidationResult,
ValidationCriteria,
ValidationId,
ValidationScope,
create_trust_score,
create_validation_id,
determine_trust_level,
validate_security_context,
validate_trust_result,
)
logger = logging.getLogger(__name__)
class ValidationStatus(Enum):
"""Trust validation status."""
PENDING = "pending" # Validation in progress
COMPLETED = "completed" # Validation completed successfully
FAILED = "failed" # Validation failed
EXPIRED = "expired" # Validation result expired
INVALID = "invalid" # Validation data invalid
REQUIRES_REVIEW = "requires_review" # Manual review required
class TrustFactor(Enum):
"""Trust validation factors."""
IDENTITY = "identity" # Identity verification
DEVICE = "device" # Device trust and compliance
LOCATION = "location" # Location verification
BEHAVIOR = "behavior" # Behavioral analysis
NETWORK = "network" # Network security assessment
TEMPORAL = "temporal" # Time-based validation
CREDENTIAL = "credential" # Credential verification
REPUTATION = "reputation" # Reputation scoring
@dataclass(frozen=True)
class TrustValidationRequest:
"""Trust validation request specification."""
validation_id: ValidationId
scope: ValidationScope
target_id: str
context: SecurityContext
criteria: ValidationCriteria
requested_at: datetime = field(default_factory=lambda: datetime.now(UTC))
priority: str = "normal" # low, normal, high, critical
timeout: int = 30 # seconds
metadata: dict[str, Any] = field(default_factory=dict)
def __post_init__(self):
if not self.target_id:
raise ValueError("Target ID cannot be empty")
if self.timeout <= 0:
raise ValueError("Timeout must be positive")
@dataclass(frozen=True)
class TrustFactorResult:
"""Individual trust factor validation result."""
factor: TrustFactor
score: TrustScore
confidence: float # 0.0 to 1.0
evidence: dict[str, Any]
warnings: list[str] = field(default_factory=list)
validation_time: float = 0.0 # milliseconds
status: ValidationStatus = ValidationStatus.COMPLETED
def __post_init__(self):
if not (0.0 <= self.confidence <= 1.0):
raise ValueError("Confidence must be between 0.0 and 1.0")
if self.validation_time < 0:
raise ValueError("Validation time cannot be negative")
@dataclass(frozen=True)
class ContinuousValidationConfig:
"""Configuration for continuous trust validation."""
enabled: bool = True
validation_interval: int = 300 # seconds
score_threshold: float = 0.7
auto_remediation: bool = False
notification_threshold: float = 0.5
max_validation_age: int = 3600 # seconds
factors_to_monitor: set[TrustFactor] = field(
default_factory=lambda: {
TrustFactor.IDENTITY,
TrustFactor.DEVICE,
TrustFactor.BEHAVIOR,
},
)
escalation_rules: dict[str, Any] = field(default_factory=dict)
class TrustValidator:
"""Continuous trust validation and verification system."""
def __init__(self):
self.active_validations: dict[ValidationId, TrustValidationRequest] = {}
self.validation_results: dict[ValidationId, TrustValidationResult] = {}
self.continuous_configs: dict[str, ContinuousValidationConfig] = {}
self.trust_cache: dict[str, tuple[TrustScore, datetime]] = {}
self.validation_history: list[TrustValidationResult] = []
self.threat_indicators: dict[str, list[str]] = {}
# Performance metrics
self.validation_count = 0
self.average_validation_time = 0.0
self.cache_hit_rate = 0.0
@require(lambda __self, request: isinstance(request, TrustValidationRequest))
@ensure(
lambda _self, result: result.is_right()
or isinstance(result.get_left(), TrustValidationError),
)
async def validate_trust(
self,
request: TrustValidationRequest,
) -> Either[TrustValidationError, TrustValidationResult]:
"""Perform comprehensive trust validation."""
try:
start_time = datetime.now(UTC)
# Validate request
request_validation = self._validate_request(request)
if request_validation.is_left():
return request_validation
# Check cache first
cached_result = self._get_cached_trust_score(
request.target_id,
request.scope,
)
if cached_result:
trust_score, cached_time = cached_result
if (start_time - cached_time).total_seconds() < 300: # 5 minutes cache
return self._create_cached_validation_result(
request,
trust_score,
cached_time,
)
# Store active validation
self.active_validations[request.validation_id] = request
# Perform factor validations
factor_results = await self._validate_trust_factors(request)
if factor_results.is_left():
return factor_results
factors = factor_results.get_right()
# Calculate composite trust score
composite_score = self._calculate_composite_trust_score(factors)
trust_level = determine_trust_level(composite_score)
# Assess risk factors
risk_factors = self._assess_risk_factors(request, factors)
# Generate recommendations
recommendations = self._generate_trust_recommendations(factors, trust_level)
# Calculate expiration
expires_at = self._calculate_validation_expiration(
trust_level,
request.criteria,
)
# Create validation result
end_time = datetime.now(UTC)
validation_duration = (
end_time - start_time
).total_seconds() * 1000 # milliseconds
criteria_results = {
factor.value: result.status == ValidationStatus.COMPLETED
and result.score >= 0.5
for factor, result in factors.items()
}
validation_result = TrustValidationResult(
validation_id=request.validation_id,
scope=request.scope,
target_id=request.target_id,
trust_score=composite_score,
trust_level=trust_level,
validation_timestamp=start_time,
criteria_results=criteria_results,
risk_factors=risk_factors,
recommendations=recommendations,
expires_at=expires_at,
metadata={
"validation_duration_ms": validation_duration,
"factor_count": len(factors),
"cache_hit": False,
"validation_version": "1.0",
},
)
# Validate result integrity
if not validate_trust_result(validation_result):
return Either.left(
TrustValidationError(
"Trust validation result failed integrity check",
"INVALID_VALIDATION_RESULT",
SecurityOperation.VALIDATE,
),
)
# Store result and update cache
self.validation_results[request.validation_id] = validation_result
self.trust_cache[f"{request.target_id}:{request.scope.value}"] = (
composite_score,
start_time,
)
self.validation_history.append(validation_result)
# Clean up
if request.validation_id in self.active_validations:
del self.active_validations[request.validation_id]
# Update metrics
self._update_validation_metrics(validation_duration)
return Either.right(validation_result)
except Exception as e:
return Either.left(
TrustValidationError(
f"Trust validation failed: {e!s}",
"VALIDATION_ERROR",
SecurityOperation.VALIDATE,
{"target_id": request.target_id, "scope": request.scope.value},
),
)
@require(
lambda _self, target_id, scope: target_id
and isinstance(scope, ValidationScope),
)
async def get_current_trust_score(
self,
target_id: str,
scope: ValidationScope,
) -> Either[TrustValidationError, TrustScore]:
"""Get current trust score for target."""
try:
# Check cache first
cache_key = f"{target_id}:{scope.value}"
if cache_key in self.trust_cache:
trust_score, cached_time = self.trust_cache[cache_key]
# Return cached score if recent (within 10 minutes)
if (datetime.now(UTC) - cached_time).total_seconds() < 600:
return Either.right(trust_score)
# Find most recent validation result
recent_result = None
for result in reversed(self.validation_history):
# SIM102 fix: Combine nested if statements
if (
result.target_id == target_id
and result.scope == scope
and (not result.expires_at or result.expires_at > datetime.now(UTC))
):
recent_result = result
break
if recent_result:
return Either.right(recent_result.trust_score)
# No valid trust score found
return Either.left(
TrustValidationError(
f"No valid trust score found for target {target_id}",
"NO_TRUST_SCORE",
SecurityOperation.VALIDATE,
{"target_id": target_id, "scope": scope.value},
),
)
except Exception as e:
return Either.left(
TrustValidationError(
f"Failed to get trust score: {e!s}",
"TRUST_SCORE_ERROR",
SecurityOperation.VALIDATE,
),
)
async def setup_continuous_validation(
self,
target_id: str,
config: ContinuousValidationConfig,
) -> Either[TrustValidationError, str]:
"""Setup continuous trust validation for target."""
try:
# Validate configuration
if config.validation_interval < 60: # Minimum 1 minute
return Either.left(
TrustValidationError(
"Continuous validation interval must be at least 60 seconds",
"INVALID_INTERVAL",
SecurityOperation.VALIDATE,
),
)
# Store configuration
self.continuous_configs[target_id] = config
# Start continuous validation if enabled
if config.enabled:
asyncio.create_task(self._run_continuous_validation(target_id, config))
return Either.right(f"Continuous validation configured for {target_id}")
except Exception as e:
return Either.left(
TrustValidationError(
f"Failed to setup continuous validation: {e!s}",
"CONTINUOUS_SETUP_ERROR",
SecurityOperation.VALIDATE,
),
)
async def _validate_trust_factors(
self,
request: TrustValidationRequest,
) -> Either[TrustValidationError, dict[TrustFactor, TrustFactorResult]]:
"""Validate individual trust factors."""
try:
factor_results = {}
# Validate identity factor
if request.criteria.identity_verification:
identity_result = await self._validate_identity_factor(request)
if identity_result.is_right():
factor_results[TrustFactor.IDENTITY] = identity_result.get_right()
# Validate device factor
if request.criteria.device_compliance:
device_result = await self._validate_device_factor(request)
if device_result.is_right():
factor_results[TrustFactor.DEVICE] = device_result.get_right()
# Validate location factor
if request.criteria.location_verification:
location_result = await self._validate_location_factor(request)
if location_result.is_right():
factor_results[TrustFactor.LOCATION] = location_result.get_right()
# Validate behavior factor
if request.criteria.behavior_analysis:
behavior_result = await self._validate_behavior_factor(request)
if behavior_result.is_right():
factor_results[TrustFactor.BEHAVIOR] = behavior_result.get_right()
# Validate network factor
if request.criteria.network_security:
network_result = await self._validate_network_factor(request)
if network_result.is_right():
factor_results[TrustFactor.NETWORK] = network_result.get_right()
# Validate temporal factor
if request.criteria.temporal_validation:
temporal_result = await self._validate_temporal_factor(request)
if temporal_result.is_right():
factor_results[TrustFactor.TEMPORAL] = temporal_result.get_right()
return Either.right(factor_results)
except Exception as e:
return Either.left(
TrustValidationError(
f"Trust factor validation failed: {e!s}",
"FACTOR_VALIDATION_ERROR",
SecurityOperation.VALIDATE,
),
)
async def _validate_identity_factor(
self,
request: TrustValidationRequest,
) -> Either[TrustValidationError, TrustFactorResult]:
"""Validate identity trust factor."""
try:
start_time = datetime.now(UTC)
# Identity validation logic
identity_score = (
0.8 # Placeholder - would integrate with identity providers
)
confidence = 0.9
evidence = {
"authentication_method": "strong",
"identity_provider": "enterprise_ldap",
"multi_factor": True,
"last_verification": datetime.now(UTC).isoformat(),
}
warnings = []
# Check for identity risks
if request.context.user_id and self._is_high_risk_user(
request.context.user_id,
):
identity_score *= 0.8
warnings.append("User identified as high-risk")
validation_time = (datetime.now(UTC) - start_time).total_seconds() * 1000
result = TrustFactorResult(
factor=TrustFactor.IDENTITY,
score=create_trust_score(identity_score),
confidence=confidence,
evidence=evidence,
warnings=warnings,
validation_time=validation_time,
status=ValidationStatus.COMPLETED,
)
return Either.right(result)
except Exception as e:
return Either.left(
TrustValidationError(
f"Identity validation failed: {e!s}",
"IDENTITY_VALIDATION_ERROR",
SecurityOperation.VALIDATE,
),
)
async def _validate_device_factor(
self,
request: TrustValidationRequest,
) -> Either[TrustValidationError, TrustFactorResult]:
"""Validate device trust factor."""
try:
start_time = datetime.now(UTC)
# Device validation logic
device_score = 0.75 # Placeholder - would check device compliance
confidence = 0.85
evidence = {
"device_id": request.context.device_id,
"compliance_status": "compliant",
"security_patch_level": "current",
"encryption_enabled": True,
"last_scan": datetime.now(UTC).isoformat(),
}
warnings = []
# Check device risks
if not request.context.device_id:
device_score *= 0.5
warnings.append("No device identifier provided")
validation_time = (datetime.now(UTC) - start_time).total_seconds() * 1000
result = TrustFactorResult(
factor=TrustFactor.DEVICE,
score=create_trust_score(device_score),
confidence=confidence,
evidence=evidence,
warnings=warnings,
validation_time=validation_time,
status=ValidationStatus.COMPLETED,
)
return Either.right(result)
except Exception as e:
return Either.left(
TrustValidationError(
f"Device validation failed: {e!s}",
"DEVICE_VALIDATION_ERROR",
SecurityOperation.VALIDATE,
),
)
async def _validate_location_factor(
self,
request: TrustValidationRequest,
) -> Either[TrustValidationError, TrustFactorResult]:
"""Validate location trust factor."""
try:
start_time = datetime.now(UTC)
# Location validation logic
location_score = 0.7 # Placeholder - would check IP geolocation
confidence = 0.8
evidence = {
"ip_address": request.context.ip_address,
"location": request.context.location,
"geolocation_confidence": "high",
"vpn_detected": False,
"known_location": True,
}
warnings = []
# Check location risks
if self._is_high_risk_location(request.context.location):
location_score *= 0.6
warnings.append("Access from high-risk location")
validation_time = (datetime.now(UTC) - start_time).total_seconds() * 1000
result = TrustFactorResult(
factor=TrustFactor.LOCATION,
score=create_trust_score(location_score),
confidence=confidence,
evidence=evidence,
warnings=warnings,
validation_time=validation_time,
status=ValidationStatus.COMPLETED,
)
return Either.right(result)
except Exception as e:
return Either.left(
TrustValidationError(
f"Location validation failed: {e!s}",
"LOCATION_VALIDATION_ERROR",
SecurityOperation.VALIDATE,
),
)
async def _validate_behavior_factor(
self,
request: TrustValidationRequest,
) -> Either[TrustValidationError, TrustFactorResult]:
"""Validate behavior trust factor."""
try:
start_time = datetime.now(UTC)
# Behavior validation logic
behavior_score = 0.85 # Placeholder - would analyze user behavior patterns
confidence = 0.75
evidence = {
"behavior_pattern": "normal",
"anomaly_score": 0.1,
"typical_access_time": True,
"expected_resources": True,
"user_agent_consistent": True,
}
warnings = []
# Check behavioral anomalies
if self._detect_behavioral_anomaly(request):
behavior_score *= 0.7
warnings.append("Behavioral anomaly detected")
validation_time = (datetime.now(UTC) - start_time).total_seconds() * 1000
result = TrustFactorResult(
factor=TrustFactor.BEHAVIOR,
score=create_trust_score(behavior_score),
confidence=confidence,
evidence=evidence,
warnings=warnings,
validation_time=validation_time,
status=ValidationStatus.COMPLETED,
)
return Either.right(result)
except Exception as e:
return Either.left(
TrustValidationError(
f"Behavior validation failed: {e!s}",
"BEHAVIOR_VALIDATION_ERROR",
SecurityOperation.VALIDATE,
),
)
async def _validate_network_factor(
self,
request: TrustValidationRequest,
) -> Either[TrustValidationError, TrustFactorResult]:
"""Validate network trust factor."""
try:
start_time = datetime.now(UTC)
# Network validation logic
network_score = 0.8 # Placeholder - would check network security
confidence = 0.9
evidence = {
"network_segment": "trusted",
"encryption_in_transit": True,
"firewall_rules": "applied",
"intrusion_detection": "active",
"network_reputation": "good",
}
warnings = []
# Check network risks
if self._is_untrusted_network(request.context.ip_address):
network_score *= 0.5
warnings.append("Access from untrusted network")
validation_time = (datetime.now(UTC) - start_time).total_seconds() * 1000
result = TrustFactorResult(
factor=TrustFactor.NETWORK,
score=create_trust_score(network_score),
confidence=confidence,
evidence=evidence,
warnings=warnings,
validation_time=validation_time,
status=ValidationStatus.COMPLETED,
)
return Either.right(result)
except Exception as e:
return Either.left(
TrustValidationError(
f"Network validation failed: {e!s}",
"NETWORK_VALIDATION_ERROR",
SecurityOperation.VALIDATE,
),
)
async def _validate_temporal_factor(
self,
_request: TrustValidationRequest,
) -> Either[TrustValidationError, TrustFactorResult]:
"""Validate temporal trust factor."""
try:
start_time = datetime.now(UTC)
# Temporal validation logic
temporal_score = 0.9 # Placeholder - would check time-based factors
confidence = 0.95
evidence = {
"access_time": "business_hours",
"session_duration": "normal",
"time_since_last_auth": "recent",
"timezone_consistent": True,
"temporal_pattern": "expected",
}
warnings = []
# Check temporal risks
current_hour = datetime.now(UTC).hour
if current_hour < 6 or current_hour > 22: # Outside business hours
temporal_score *= 0.8
warnings.append("Access outside normal business hours")
validation_time = (datetime.now(UTC) - start_time).total_seconds() * 1000
result = TrustFactorResult(
factor=TrustFactor.TEMPORAL,
score=create_trust_score(temporal_score),
confidence=confidence,
evidence=evidence,
warnings=warnings,
validation_time=validation_time,
status=ValidationStatus.COMPLETED,
)
return Either.right(result)
except Exception as e:
return Either.left(
TrustValidationError(
f"Temporal validation failed: {e!s}",
"TEMPORAL_VALIDATION_ERROR",
SecurityOperation.VALIDATE,
),
)
def _calculate_composite_trust_score(
self,
factors: dict[TrustFactor, TrustFactorResult],
) -> TrustScore:
"""Calculate composite trust score from factor results."""
if not factors:
return create_trust_score(0.0)
# Weight factors by importance and confidence
weighted_scores = []
total_weight = 0.0
factor_weights = {
TrustFactor.IDENTITY: 0.3,
TrustFactor.DEVICE: 0.25,
TrustFactor.BEHAVIOR: 0.2,
TrustFactor.LOCATION: 0.15,
TrustFactor.NETWORK: 0.1,
TrustFactor.TEMPORAL: 0.05,
TrustFactor.CREDENTIAL: 0.2,
TrustFactor.REPUTATION: 0.1,
}
for factor, result in factors.items():
if result.status == ValidationStatus.COMPLETED:
base_weight = factor_weights.get(factor, 0.1)
confidence_weight = base_weight * result.confidence
weighted_scores.append(float(result.score) * confidence_weight)
total_weight += confidence_weight
if total_weight == 0:
return create_trust_score(0.0)
composite_score = sum(weighted_scores) / total_weight
return create_trust_score(min(1.0, max(0.0, composite_score)))
def _assess_risk_factors(
self,
request: TrustValidationRequest,
factors: dict[TrustFactor, TrustFactorResult],
) -> list[str]:
"""Assess risk factors from validation results."""
risk_factors = []
for factor, result in factors.items():
# Add warnings as risk factors
risk_factors.extend(result.warnings)
# Check for low scores
if result.score < 0.5:
risk_factors.append(
f"Low {factor.value} trust score ({result.score:.2f})",
)
# Check for low confidence
if result.confidence < 0.7:
risk_factors.append(
f"Low confidence in {factor.value} validation ({result.confidence:.2f})",
)
# Check context-specific risks
if request.context.trust_level == TrustLevel.UNKNOWN:
risk_factors.append("Unknown trust level")
if request.context.risk_score > 0.7:
risk_factors.append(
f"High context risk score ({request.context.risk_score:.2f})",
)
return list(set(risk_factors)) # Remove duplicates
def _generate_trust_recommendations(
self,
factors: dict[TrustFactor, TrustFactorResult],
trust_level: TrustLevel,
) -> list[str]:
"""Generate trust improvement recommendations."""
recommendations = []
# Level-based recommendations
if trust_level == TrustLevel.LOW:
recommendations.append("Consider additional authentication factors")
recommendations.append("Review device compliance status")
elif trust_level == TrustLevel.MEDIUM:
recommendations.append("Monitor for behavioral anomalies")
recommendations.append("Validate device security posture")
elif trust_level == TrustLevel.HIGH:
recommendations.append("Maintain current security posture")
# Factor-specific recommendations
for factor, result in factors.items():
if result.score < 0.6:
if factor == TrustFactor.IDENTITY:
recommendations.append("Strengthen identity verification")
elif factor == TrustFactor.DEVICE:
recommendations.append("Update device security configuration")
elif factor == TrustFactor.LOCATION:
recommendations.append("Verify location and network security")
elif factor == TrustFactor.BEHAVIOR:
recommendations.append("Review recent user activity patterns")
elif factor == TrustFactor.NETWORK:
recommendations.append("Enhance network security controls")
return list(set(recommendations)) # Remove duplicates
def _calculate_validation_expiration(
self,
trust_level: TrustLevel,
_criteria: ValidationCriteria,
) -> datetime | None:
"""Calculate when validation expires based on trust level."""
# Higher trust = longer validity
base_duration = {
TrustLevel.UNTRUSTED: 0, # Immediate expiration
TrustLevel.LOW: 300, # 5 minutes
TrustLevel.MEDIUM: 1800, # 30 minutes
TrustLevel.HIGH: 3600, # 1 hour
TrustLevel.VERIFIED: 7200, # 2 hours
TrustLevel.UNKNOWN: 600, # 10 minutes
}
duration_seconds = base_duration.get(trust_level, 600)
if duration_seconds == 0:
return datetime.now(UTC) # Already expired
return datetime.now(UTC) + timedelta(seconds=duration_seconds)
def _validate_request(
self,
request: TrustValidationRequest,
) -> Either[TrustValidationError, None]:
"""Validate trust validation request."""
# Validate security context
context_validation = validate_security_context(request.context)
if context_validation.is_left():
return Either.left(
TrustValidationError(
f"Invalid security context: {context_validation.get_left().message}",
"INVALID_CONTEXT",
SecurityOperation.VALIDATE,
),
)
# Check for duplicate active validation
for active_request in self.active_validations.values():
if (
active_request.target_id == request.target_id
and active_request.scope == request.scope
):
return Either.left(
TrustValidationError(
f"Validation already in progress for {request.target_id}",
"DUPLICATE_VALIDATION",
SecurityOperation.VALIDATE,
),
)
return Either.right(None)
def _get_cached_trust_score(
self,
target_id: str,
scope: ValidationScope,
) -> tuple[TrustScore, datetime] | None:
"""Get cached trust score if available and valid."""
cache_key = f"{target_id}:{scope.value}"
return self.trust_cache.get(cache_key)
def _create_cached_validation_result(
self,
request: TrustValidationRequest,
trust_score: TrustScore,
cached_time: datetime,
) -> Either[TrustValidationError, TrustValidationResult]:
"""Create validation result from cached data."""
trust_level = determine_trust_level(trust_score)
cached_result = TrustValidationResult(
validation_id=request.validation_id,
scope=request.scope,
target_id=request.target_id,
trust_score=trust_score,
trust_level=trust_level,
validation_timestamp=cached_time,
criteria_results={"cached": True},
risk_factors=[],
recommendations=["Using cached trust score"],
expires_at=cached_time + timedelta(minutes=10),
metadata={
"cache_hit": True,
"cached_at": cached_time.isoformat(),
"validation_duration_ms": 1.0,
},
)
return Either.right(cached_result)
def _update_validation_metrics(self, validation_duration: float) -> None:
"""Update validation performance metrics."""
self.validation_count += 1
# Update average validation time
if self.validation_count == 1:
self.average_validation_time = validation_duration
else:
alpha = 0.1 # Exponential moving average factor
self.average_validation_time = (
alpha * validation_duration + (1 - alpha) * self.average_validation_time
)
async def _run_continuous_validation(
self,
target_id: str,
config: ContinuousValidationConfig,
) -> None:
"""Run continuous validation for a target."""
try:
while target_id in self.continuous_configs:
current_config = self.continuous_configs[target_id]
if not current_config.enabled:
break
# Perform validation for each monitored factor
for scope in [
ValidationScope.USER,
ValidationScope.DEVICE,
ValidationScope.SESSION,
]:
try:
# Create basic validation request
validation_id = create_validation_id()
context = SecurityContext(
context_id=f"continuous_{target_id}",
user_id=target_id,
)
criteria = ValidationCriteria()
request = TrustValidationRequest(
validation_id=validation_id,
scope=scope,
target_id=target_id,
context=context,
criteria=criteria,
priority="normal",
)
# Perform validation
result = await self.validate_trust(request)
# Check if action needed
if result.is_right():
validation_result = result.get_right()
if validation_result.trust_score < config.score_threshold:
# Trigger alerts or remediation
await self._handle_low_trust_score(
target_id,
validation_result,
config,
)
except Exception as e:
# Log error but continue monitoring
logger.error(
f"Continuous validation error for {target_id}: {e!s}",
exc_info=True,
)
# Wait for next validation cycle
await asyncio.sleep(current_config.validation_interval)
except Exception:
# Remove from continuous monitoring on error
if target_id in self.continuous_configs:
del self.continuous_configs[target_id]
async def _handle_low_trust_score(
self,
target_id: str,
result: TrustValidationResult,
config: ContinuousValidationConfig,
) -> None:
"""Handle low trust score in continuous monitoring."""
try:
# Add to threat indicators
if target_id not in self.threat_indicators:
self.threat_indicators[target_id] = []
self.threat_indicators[target_id].append(
f"Low trust score: {result.trust_score:.2f} at {result.validation_timestamp}",
)
# Auto-remediation if enabled
if config.auto_remediation:
# Implement remediation actions
pass
except Exception as e:
# Log but don't fail
logger.error(f"Low trust score handling failed: {e!s}", exc_info=True)
# Helper methods for risk assessment
def _is_high_risk_user(self, _user_id: str) -> bool:
"""Check if user is considered high risk."""
# Placeholder - would check user risk database
return False
def _is_high_risk_location(self, _location: str | None) -> bool:
"""Check if location is considered high risk."""
# Placeholder - would check location risk database
return False
def _is_untrusted_network(self, _ip_address: str | None) -> bool:
"""Check if network is untrusted."""
# Placeholder - would check network reputation
return False
def _detect_behavioral_anomaly(self, _request: TrustValidationRequest) -> bool:
"""Detect behavioral anomalies."""
# Placeholder - would use ML models for anomaly detection
return False
# Utility functions for trust validation
def create_trust_validation_request(
target_id: str,
scope: ValidationScope,
context: SecurityContext,
criteria: ValidationCriteria | None = None,
priority: str = "normal",
) -> TrustValidationRequest:
"""Create a trust validation request with default values."""
if criteria is None:
criteria = ValidationCriteria()
return TrustValidationRequest(
validation_id=create_validation_id(),
scope=scope,
target_id=target_id,
context=context,
criteria=criteria,
priority=priority,
)
def create_continuous_validation_config(
enabled: bool = True,
validation_interval: int = 300,
score_threshold: float = 0.7,
auto_remediation: bool = False,
) -> ContinuousValidationConfig:
"""Create continuous validation configuration with sensible defaults."""
return ContinuousValidationConfig(
enabled=enabled,
validation_interval=validation_interval,
score_threshold=score_threshold,
auto_remediation=auto_remediation,
)
