Security Policy Frameworks: Implementation Guide

package security.network.zerotrust

# Default deny - no access unless explicitly allowed
default allow_network_access = false

# Allow access only with valid authentication and authorization
allow_network_access {
    # Verify user authentication
    input.user.authenticated == true
    input.user.mfa_verified == true
    
    # Check device compliance
    input.device.compliant == true
    input.device.managed == true
    
    # Validate network context
    valid_network_context
    
    # Verify resource access permissions
    authorized_for_resource
}

# Network context validation
valid_network_context {
    # Allow from trusted networks or VPN
    input.network.source_type in ["corporate_vpn", "trusted_network"]
    
    # Verify encryption in transit
    input.connection.encrypted == true
    input.connection.tls_version >= "1.2"
}

# Resource authorization check
authorized_for_resource {
    # User has required role for the resource
    required_roles := data.resources[input.resource.id].required_roles
    user_roles := {role | role := input.user.roles[_]}
    count(required_roles & user_roles) > 0
    
    # Time-based access restrictions
    valid_access_time
}

# Time-based access validation
valid_access_time {
    current_hour := time.clock([time.now_ns(), "UTC"])[0]
    allowed_hours := data.resources[input.resource.id].allowed_hours
    current_hour >= allowed_hours.start
    current_hour <= allowed_hours.end
}

package security.data.protection

# Deny data operations that violate protection requirements
deny[msg] {
    # Check if data classification requires encryption
    data_classification := input.data.classification
    encryption_required := data.protection_requirements[data_classification].encryption_required
    encryption_required == true
    
    # Verify encryption is properly configured
    not data_properly_encrypted
    
    msg := sprintf("Data classified as '%v' requires encryption but is not properly encrypted", [data_classification])
}

# Verify proper data encryption
data_properly_encrypted {
    input.data.encrypted == true
    input.data.encryption_algorithm in ["AES-256", "ChaCha20-Poly1305"]
    input.data.key_management == "managed"
}

# Geographic data residency compliance
deny[msg] {
    data_classification := input.data.classification
    residency_rules := data.protection_requirements[data_classification].residency_requirements
    
    # Check if data contains PII or sensitive information
    data_classification in ["pii", "confidential", "restricted"]
    
    # Verify data is stored in compliant regions
    not compliant_data_residency(residency_rules)
    
    msg := sprintf("Data residency violation: %v data stored in non-compliant region %v", [
        data_classification, 
        input.storage.region
    ])
}

# Data residency compliance check
compliant_data_residency(requirements) {
    allowed_regions := {region | region := requirements.allowed_regions[_]}
    input.storage.region in allowed_regions
}

# Access logging and audit trail requirements
deny[msg] {
    data_classification := input.data.classification
    audit_required := data.protection_requirements[data_classification].audit_required
    audit_required == true
    
    # Verify audit logging is enabled
    not proper_audit_logging
    
    msg := sprintf("Audit logging required for %v data but not properly configured", [data_classification])
}

# Audit logging validation
proper_audit_logging {
    input.audit.enabled == true
    input.audit.retention_days >= 365
    input.audit.log_level in ["detailed", "comprehensive"]
    input.audit.immutable == true
}

package security.incident.response

# Incident classification and automated response
incident_response[response] {
    # Classify incident severity
    severity := classify_incident_severity
    
    # Determine response actions based on severity
    response_actions := data.incident_playbooks[severity].actions
    
    response := {
        "severity": severity,
        "actions": response_actions,
        "escalation": determine_escalation(severity),
        "containment": determine_containment_actions(severity)
    }
}

# Incident severity classification
classify_incident_severity = "critical" {
    # Critical indicators
    input.indicators.data_exfiltration == true
} else = "critical" {
    input.indicators.system_compromise == true
    input.affected_systems.production_count > 0
} else = "high" {
    input.indicators.privilege_escalation == true
} else = "high" {
    input.indicators.lateral_movement == true
} else = "medium" {
    input.indicators.suspicious_activity == true
    input.affected_systems.count > 1
} else = "low"

# Escalation decision logic
determine_escalation(severity) = escalation {
    escalation_rules := data.escalation_matrix[severity]
    
    escalation := {
        "immediate": escalation_rules.immediate_notification,
        "notify_teams": escalation_rules.notification_teams,
        "sla_minutes": escalation_rules.response_sla
    }
}

# Containment actions based on incident type and severity
determine_containment_actions(severity) = actions {
    base_actions := data.containment_playbooks[severity].base_actions
    
    # Add specific actions based on incident indicators
    specific_actions := {action |
        input.indicators[indicator] == true
        action := data.containment_playbooks[severity].indicator_actions[indicator][_]
    }
    
    actions := base_actions | specific_actions
}

# Automated response execution validation
validate_response_execution {
    # Ensure all critical actions are executed within SLA
    response := incident_response[_]
    current_time := time.now_ns()
    incident_start := time.parse_rfc3339_ns(input.incident.start_time)
    elapsed_minutes := (current_time - incident_start) / 1000000000 / 60
    
    elapsed_minutes <= response.escalation.sla_minutes
}