Files
breakpilot-compliance/ai-compliance-sdk/internal/ucca/policy_engine.go
Benjamin Boenisch 4435e7ea0a Initial commit: breakpilot-compliance - Compliance SDK Platform
Services: Admin-Compliance, Backend-Compliance,
AI-Compliance-SDK, Consent-SDK, Developer-Portal,
PCA-Platform, DSMS

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-11 23:47:28 +01:00

883 lines
25 KiB
Go

package ucca
import (
"fmt"
"os"
"path/filepath"
"sort"
"strings"
"gopkg.in/yaml.v3"
)
// ============================================================================
// YAML-based Policy Engine
// ============================================================================
//
// This engine evaluates use-case intakes against YAML-defined rules.
// Key design principles:
// - Deterministic: No LLM involvement in rule evaluation
// - Transparent: Rules are auditable YAML
// - Composable: Each field carries its own legal metadata
// - Solution-oriented: Problems include suggested solutions
//
// ============================================================================
// DefaultPolicyPath is the default location for the policy file
var DefaultPolicyPath = "policies/ucca_policy_v1.yaml"
// PolicyConfig represents the full YAML policy structure
type PolicyConfig struct {
Policy PolicyMetadata `yaml:"policy"`
Thresholds Thresholds `yaml:"thresholds"`
Patterns map[string]PatternDef `yaml:"patterns"`
Controls map[string]ControlDef `yaml:"controls"`
Rules []RuleDef `yaml:"rules"`
ProblemSolutions []ProblemSolutionDef `yaml:"problem_solutions"`
EscalationTriggers []EscalationTriggerDef `yaml:"escalation_triggers"`
}
// PolicyMetadata contains policy header info
type PolicyMetadata struct {
Name string `yaml:"name"`
Version string `yaml:"version"`
Jurisdiction string `yaml:"jurisdiction"`
Basis []string `yaml:"basis"`
DefaultFeasibility string `yaml:"default_feasibility"`
DefaultRiskScore int `yaml:"default_risk_score"`
}
// Thresholds for risk scoring and escalation
type Thresholds struct {
Risk RiskThresholds `yaml:"risk"`
Escalation []string `yaml:"escalation"`
}
// RiskThresholds defines risk level boundaries
type RiskThresholds struct {
Minimal int `yaml:"minimal"`
Low int `yaml:"low"`
Medium int `yaml:"medium"`
High int `yaml:"high"`
Unacceptable int `yaml:"unacceptable"`
}
// PatternDef represents an architecture pattern from YAML
type PatternDef struct {
ID string `yaml:"id"`
Title string `yaml:"title"`
Description string `yaml:"description"`
Benefit string `yaml:"benefit"`
Effort string `yaml:"effort"`
RiskReduction int `yaml:"risk_reduction"`
}
// ControlDef represents a required control from YAML
type ControlDef struct {
ID string `yaml:"id"`
Title string `yaml:"title"`
Description string `yaml:"description"`
GDPRRef string `yaml:"gdpr_ref"`
Effort string `yaml:"effort"`
}
// RuleDef represents a single rule from YAML
type RuleDef struct {
ID string `yaml:"id"`
Category string `yaml:"category"`
Title string `yaml:"title"`
Description string `yaml:"description"`
Condition ConditionDef `yaml:"condition"`
Effect EffectDef `yaml:"effect"`
Severity string `yaml:"severity"`
GDPRRef string `yaml:"gdpr_ref"`
Rationale string `yaml:"rationale"`
}
// ConditionDef represents a rule condition (supports field checks and compositions)
type ConditionDef struct {
// Simple field check
Field string `yaml:"field,omitempty"`
Operator string `yaml:"operator,omitempty"`
Value interface{} `yaml:"value,omitempty"`
// Composite conditions
AllOf []ConditionDef `yaml:"all_of,omitempty"`
AnyOf []ConditionDef `yaml:"any_of,omitempty"`
// Aggregate conditions (evaluated after all rules)
Aggregate string `yaml:"aggregate,omitempty"`
}
// EffectDef represents the effect when a rule triggers
type EffectDef struct {
RiskAdd int `yaml:"risk_add,omitempty"`
Feasibility string `yaml:"feasibility,omitempty"`
ControlsAdd []string `yaml:"controls_add,omitempty"`
SuggestedPatterns []string `yaml:"suggested_patterns,omitempty"`
Escalation bool `yaml:"escalation,omitempty"`
Art22Risk bool `yaml:"art22_risk,omitempty"`
TrainingAllowed bool `yaml:"training_allowed,omitempty"`
LegalBasis string `yaml:"legal_basis,omitempty"`
}
// ProblemSolutionDef maps problems to solutions
type ProblemSolutionDef struct {
ProblemID string `yaml:"problem_id"`
Title string `yaml:"title"`
Triggers []ProblemTriggerDef `yaml:"triggers"`
Solutions []SolutionDef `yaml:"solutions"`
}
// ProblemTriggerDef defines when a problem is triggered
type ProblemTriggerDef struct {
Rule string `yaml:"rule"`
WithoutControl string `yaml:"without_control,omitempty"`
}
// SolutionDef represents a potential solution
type SolutionDef struct {
ID string `yaml:"id"`
Title string `yaml:"title"`
Pattern string `yaml:"pattern,omitempty"`
Control string `yaml:"control,omitempty"`
RemovesProblem bool `yaml:"removes_problem"`
TeamQuestion string `yaml:"team_question"`
}
// EscalationTriggerDef defines when to escalate to DSB
type EscalationTriggerDef struct {
Condition string `yaml:"condition"`
Reason string `yaml:"reason"`
}
// ============================================================================
// Policy Engine Implementation
// ============================================================================
// PolicyEngine evaluates intakes against YAML-defined rules
type PolicyEngine struct {
config *PolicyConfig
}
// NewPolicyEngine creates a new policy engine, loading from the default path
// It searches for the policy file in common locations
func NewPolicyEngine() (*PolicyEngine, error) {
// Try multiple locations to find the policy file
searchPaths := []string{
DefaultPolicyPath,
filepath.Join(".", "policies", "ucca_policy_v1.yaml"),
filepath.Join("..", "policies", "ucca_policy_v1.yaml"),
filepath.Join("..", "..", "policies", "ucca_policy_v1.yaml"),
"/app/policies/ucca_policy_v1.yaml", // Docker container path
}
var data []byte
var err error
for _, path := range searchPaths {
data, err = os.ReadFile(path)
if err == nil {
break
}
}
if err != nil {
return nil, fmt.Errorf("failed to load policy from any known location: %w", err)
}
var config PolicyConfig
if err := yaml.Unmarshal(data, &config); err != nil {
return nil, fmt.Errorf("failed to parse policy YAML: %w", err)
}
return &PolicyEngine{config: &config}, nil
}
// NewPolicyEngineFromPath loads policy from a specific file path
func NewPolicyEngineFromPath(path string) (*PolicyEngine, error) {
data, err := os.ReadFile(path)
if err != nil {
return nil, fmt.Errorf("failed to read policy file: %w", err)
}
var config PolicyConfig
if err := yaml.Unmarshal(data, &config); err != nil {
return nil, fmt.Errorf("failed to parse policy YAML: %w", err)
}
return &PolicyEngine{config: &config}, nil
}
// GetPolicyVersion returns the policy version
func (e *PolicyEngine) GetPolicyVersion() string {
return e.config.Policy.Version
}
// Evaluate runs all YAML rules against the intake
func (e *PolicyEngine) Evaluate(intake *UseCaseIntake) *AssessmentResult {
result := &AssessmentResult{
Feasibility: FeasibilityYES,
RiskLevel: RiskLevelMINIMAL,
Complexity: ComplexityLOW,
RiskScore: 0,
TriggeredRules: []TriggeredRule{},
RequiredControls: []RequiredControl{},
RecommendedArchitecture: []PatternRecommendation{},
ForbiddenPatterns: []ForbiddenPattern{},
ExampleMatches: []ExampleMatch{},
DSFARecommended: false,
Art22Risk: false,
TrainingAllowed: TrainingYES,
}
// Track state for aggregation
hasBlock := false
hasWarn := false
controlSet := make(map[string]bool)
patternPriority := make(map[string]int)
triggeredRuleIDs := make(map[string]bool)
needsEscalation := false
// Evaluate each non-aggregate rule
priority := 1
for _, rule := range e.config.Rules {
// Skip aggregate rules (evaluated later)
if rule.Condition.Aggregate != "" {
continue
}
if e.evaluateCondition(&rule.Condition, intake) {
triggeredRuleIDs[rule.ID] = true
// Create triggered rule record
triggered := TriggeredRule{
Code: rule.ID,
Category: rule.Category,
Title: rule.Title,
Description: rule.Description,
Severity: parseSeverity(rule.Severity),
ScoreDelta: rule.Effect.RiskAdd,
GDPRRef: rule.GDPRRef,
Rationale: rule.Rationale,
}
result.TriggeredRules = append(result.TriggeredRules, triggered)
// Apply effects
result.RiskScore += rule.Effect.RiskAdd
// Track severity
switch parseSeverity(rule.Severity) {
case SeverityBLOCK:
hasBlock = true
case SeverityWARN:
hasWarn = true
}
// Override feasibility if specified
if rule.Effect.Feasibility != "" {
switch rule.Effect.Feasibility {
case "NO":
result.Feasibility = FeasibilityNO
case "CONDITIONAL":
if result.Feasibility != FeasibilityNO {
result.Feasibility = FeasibilityCONDITIONAL
}
case "YES":
// Only set YES if not already NO or CONDITIONAL
if result.Feasibility != FeasibilityNO && result.Feasibility != FeasibilityCONDITIONAL {
result.Feasibility = FeasibilityYES
}
}
}
// Collect controls
for _, ctrlID := range rule.Effect.ControlsAdd {
if !controlSet[ctrlID] {
controlSet[ctrlID] = true
if ctrl, ok := e.config.Controls[ctrlID]; ok {
result.RequiredControls = append(result.RequiredControls, RequiredControl{
ID: ctrl.ID,
Title: ctrl.Title,
Description: ctrl.Description,
Severity: parseSeverity(rule.Severity),
Category: categorizeControl(ctrl.ID),
GDPRRef: ctrl.GDPRRef,
})
}
}
}
// Collect patterns
for _, patternID := range rule.Effect.SuggestedPatterns {
if _, exists := patternPriority[patternID]; !exists {
patternPriority[patternID] = priority
priority++
}
}
// Track special flags
if rule.Effect.Escalation {
needsEscalation = true
}
if rule.Effect.Art22Risk {
result.Art22Risk = true
}
}
}
// Apply aggregation rules
if hasBlock {
result.Feasibility = FeasibilityNO
} else if hasWarn && result.Feasibility != FeasibilityNO {
result.Feasibility = FeasibilityCONDITIONAL
}
// Determine risk level from thresholds
result.RiskLevel = e.calculateRiskLevel(result.RiskScore)
// Determine complexity
result.Complexity = e.calculateComplexity(result)
// Check if DSFA is recommended
result.DSFARecommended = e.shouldRecommendDSFA(intake, result)
// Determine training allowed status
result.TrainingAllowed = e.determineTrainingAllowed(intake)
// Add recommended patterns (sorted by priority)
result.RecommendedArchitecture = e.buildPatternRecommendations(patternPriority)
// Match didactic examples
result.ExampleMatches = MatchExamples(intake)
// Generate summaries
result.Summary = e.generateSummary(result, intake)
result.Recommendation = e.generateRecommendation(result, intake)
if result.Feasibility == FeasibilityNO {
result.AlternativeApproach = e.generateAlternative(result, intake, triggeredRuleIDs)
}
// Note: needsEscalation could be used to flag the assessment for DSB review
_ = needsEscalation
return result
}
// evaluateCondition recursively evaluates a condition against the intake
func (e *PolicyEngine) evaluateCondition(cond *ConditionDef, intake *UseCaseIntake) bool {
// Handle composite all_of
if len(cond.AllOf) > 0 {
for _, subCond := range cond.AllOf {
if !e.evaluateCondition(&subCond, intake) {
return false
}
}
return true
}
// Handle composite any_of
if len(cond.AnyOf) > 0 {
for _, subCond := range cond.AnyOf {
if e.evaluateCondition(&subCond, intake) {
return true
}
}
return false
}
// Handle simple field condition
if cond.Field != "" {
return e.evaluateFieldCondition(cond.Field, cond.Operator, cond.Value, intake)
}
return false
}
// evaluateFieldCondition evaluates a single field comparison
func (e *PolicyEngine) evaluateFieldCondition(field, operator string, value interface{}, intake *UseCaseIntake) bool {
// Get the field value from intake
fieldValue := e.getFieldValue(field, intake)
if fieldValue == nil {
return false
}
switch operator {
case "equals":
return e.compareEquals(fieldValue, value)
case "not_equals":
return !e.compareEquals(fieldValue, value)
case "in":
return e.compareIn(fieldValue, value)
case "contains":
return e.compareContains(fieldValue, value)
default:
return false
}
}
// getFieldValue extracts a field value from the intake using dot notation
func (e *PolicyEngine) getFieldValue(field string, intake *UseCaseIntake) interface{} {
parts := strings.Split(field, ".")
if len(parts) == 0 {
return nil
}
switch parts[0] {
case "data_types":
if len(parts) < 2 {
return nil
}
return e.getDataTypeValue(parts[1], intake)
case "purpose":
if len(parts) < 2 {
return nil
}
return e.getPurposeValue(parts[1], intake)
case "automation":
return string(intake.Automation)
case "outputs":
if len(parts) < 2 {
return nil
}
return e.getOutputsValue(parts[1], intake)
case "hosting":
if len(parts) < 2 {
return nil
}
return e.getHostingValue(parts[1], intake)
case "model_usage":
if len(parts) < 2 {
return nil
}
return e.getModelUsageValue(parts[1], intake)
case "domain":
return string(intake.Domain)
case "retention":
if len(parts) < 2 {
return nil
}
return e.getRetentionValue(parts[1], intake)
}
return nil
}
func (e *PolicyEngine) getDataTypeValue(field string, intake *UseCaseIntake) interface{} {
switch field {
case "personal_data":
return intake.DataTypes.PersonalData
case "article_9_data":
return intake.DataTypes.Article9Data
case "minor_data":
return intake.DataTypes.MinorData
case "license_plates":
return intake.DataTypes.LicensePlates
case "images":
return intake.DataTypes.Images
case "audio":
return intake.DataTypes.Audio
case "location_data":
return intake.DataTypes.LocationData
case "biometric_data":
return intake.DataTypes.BiometricData
case "financial_data":
return intake.DataTypes.FinancialData
case "employee_data":
return intake.DataTypes.EmployeeData
case "customer_data":
return intake.DataTypes.CustomerData
case "public_data":
return intake.DataTypes.PublicData
}
return nil
}
func (e *PolicyEngine) getPurposeValue(field string, intake *UseCaseIntake) interface{} {
switch field {
case "customer_support":
return intake.Purpose.CustomerSupport
case "marketing":
return intake.Purpose.Marketing
case "analytics":
return intake.Purpose.Analytics
case "automation":
return intake.Purpose.Automation
case "evaluation_scoring":
return intake.Purpose.EvaluationScoring
case "decision_making":
return intake.Purpose.DecisionMaking
case "profiling":
return intake.Purpose.Profiling
case "research":
return intake.Purpose.Research
case "internal_tools":
return intake.Purpose.InternalTools
case "public_service":
return intake.Purpose.PublicService
}
return nil
}
func (e *PolicyEngine) getOutputsValue(field string, intake *UseCaseIntake) interface{} {
switch field {
case "recommendations_to_users":
return intake.Outputs.RecommendationsToUsers
case "rankings_or_scores":
return intake.Outputs.RankingsOrScores
case "legal_effects":
return intake.Outputs.LegalEffects
case "access_decisions":
return intake.Outputs.AccessDecisions
case "content_generation":
return intake.Outputs.ContentGeneration
case "data_export":
return intake.Outputs.DataExport
}
return nil
}
func (e *PolicyEngine) getHostingValue(field string, intake *UseCaseIntake) interface{} {
switch field {
case "provider":
return intake.Hosting.Provider
case "region":
return intake.Hosting.Region
case "data_residency":
return intake.Hosting.DataResidency
}
return nil
}
func (e *PolicyEngine) getModelUsageValue(field string, intake *UseCaseIntake) interface{} {
switch field {
case "rag":
return intake.ModelUsage.RAG
case "finetune":
return intake.ModelUsage.Finetune
case "training":
return intake.ModelUsage.Training
case "inference":
return intake.ModelUsage.Inference
}
return nil
}
func (e *PolicyEngine) getRetentionValue(field string, intake *UseCaseIntake) interface{} {
switch field {
case "store_prompts":
return intake.Retention.StorePrompts
case "store_responses":
return intake.Retention.StoreResponses
case "retention_days":
return intake.Retention.RetentionDays
case "anonymize_after_use":
return intake.Retention.AnonymizeAfterUse
}
return nil
}
// compareEquals compares two values for equality
func (e *PolicyEngine) compareEquals(fieldValue, expected interface{}) bool {
// Handle bool comparison
if bv, ok := fieldValue.(bool); ok {
if eb, ok := expected.(bool); ok {
return bv == eb
}
}
// Handle string comparison
if sv, ok := fieldValue.(string); ok {
if es, ok := expected.(string); ok {
return sv == es
}
}
// Handle int comparison
if iv, ok := fieldValue.(int); ok {
switch ev := expected.(type) {
case int:
return iv == ev
case float64:
return iv == int(ev)
}
}
return false
}
// compareIn checks if fieldValue is in a list of expected values
func (e *PolicyEngine) compareIn(fieldValue, expected interface{}) bool {
list, ok := expected.([]interface{})
if !ok {
return false
}
sv, ok := fieldValue.(string)
if !ok {
return false
}
for _, item := range list {
if is, ok := item.(string); ok && is == sv {
return true
}
}
return false
}
// compareContains checks if a string contains a substring
func (e *PolicyEngine) compareContains(fieldValue, expected interface{}) bool {
sv, ok := fieldValue.(string)
if !ok {
return false
}
es, ok := expected.(string)
if !ok {
return false
}
return strings.Contains(strings.ToLower(sv), strings.ToLower(es))
}
// calculateRiskLevel determines risk level from score
func (e *PolicyEngine) calculateRiskLevel(score int) RiskLevel {
t := e.config.Thresholds.Risk
if score >= t.Unacceptable {
return RiskLevelUNACCEPTABLE
}
if score >= t.High {
return RiskLevelHIGH
}
if score >= t.Medium {
return RiskLevelMEDIUM
}
if score >= t.Low {
return RiskLevelLOW
}
return RiskLevelMINIMAL
}
// calculateComplexity determines implementation complexity
func (e *PolicyEngine) calculateComplexity(result *AssessmentResult) Complexity {
controlCount := len(result.RequiredControls)
if controlCount >= 5 || result.RiskScore >= 50 {
return ComplexityHIGH
}
if controlCount >= 3 || result.RiskScore >= 25 {
return ComplexityMEDIUM
}
return ComplexityLOW
}
// shouldRecommendDSFA checks if a DSFA is recommended
func (e *PolicyEngine) shouldRecommendDSFA(intake *UseCaseIntake, result *AssessmentResult) bool {
if result.RiskLevel == RiskLevelHIGH || result.RiskLevel == RiskLevelUNACCEPTABLE {
return true
}
if intake.DataTypes.Article9Data || intake.DataTypes.BiometricData {
return true
}
if intake.Purpose.Profiling && intake.DataTypes.PersonalData {
return true
}
// Check if C_DSFA control is required
for _, ctrl := range result.RequiredControls {
if ctrl.ID == "C_DSFA" {
return true
}
}
return false
}
// determineTrainingAllowed checks training permission
func (e *PolicyEngine) determineTrainingAllowed(intake *UseCaseIntake) TrainingAllowed {
if intake.ModelUsage.Training && intake.DataTypes.PersonalData {
return TrainingNO
}
if intake.ModelUsage.Finetune && intake.DataTypes.PersonalData {
return TrainingCONDITIONAL
}
if intake.DataTypes.MinorData && (intake.ModelUsage.Training || intake.ModelUsage.Finetune) {
return TrainingNO
}
return TrainingYES
}
// buildPatternRecommendations creates sorted pattern recommendations
func (e *PolicyEngine) buildPatternRecommendations(patternPriority map[string]int) []PatternRecommendation {
type priorityPair struct {
id string
priority int
}
pairs := make([]priorityPair, 0, len(patternPriority))
for id, p := range patternPriority {
pairs = append(pairs, priorityPair{id, p})
}
sort.Slice(pairs, func(i, j int) bool {
return pairs[i].priority < pairs[j].priority
})
recommendations := make([]PatternRecommendation, 0, len(pairs))
for _, p := range pairs {
if pattern, ok := e.config.Patterns[p.id]; ok {
recommendations = append(recommendations, PatternRecommendation{
PatternID: pattern.ID,
Title: pattern.Title,
Description: pattern.Description,
Rationale: pattern.Benefit,
Priority: p.priority,
})
}
}
return recommendations
}
// generateSummary creates a human-readable summary
func (e *PolicyEngine) generateSummary(result *AssessmentResult, intake *UseCaseIntake) string {
var parts []string
switch result.Feasibility {
case FeasibilityYES:
parts = append(parts, "Der Use Case ist aus DSGVO-Sicht grundsätzlich umsetzbar.")
case FeasibilityCONDITIONAL:
parts = append(parts, "Der Use Case ist unter Auflagen umsetzbar.")
case FeasibilityNO:
parts = append(parts, "Der Use Case ist in der aktuellen Form nicht DSGVO-konform umsetzbar.")
}
blockCount := 0
warnCount := 0
for _, r := range result.TriggeredRules {
if r.Severity == SeverityBLOCK {
blockCount++
} else if r.Severity == SeverityWARN {
warnCount++
}
}
if blockCount > 0 {
parts = append(parts, fmt.Sprintf("%d kritische Regelverletzung(en) identifiziert.", blockCount))
}
if warnCount > 0 {
parts = append(parts, fmt.Sprintf("%d Warnungen erfordern Aufmerksamkeit.", warnCount))
}
if result.DSFARecommended {
parts = append(parts, "Eine Datenschutz-Folgenabschätzung (DSFA) wird empfohlen.")
}
return strings.Join(parts, " ")
}
// generateRecommendation creates actionable recommendations
func (e *PolicyEngine) generateRecommendation(result *AssessmentResult, intake *UseCaseIntake) string {
if result.Feasibility == FeasibilityYES {
return "Fahren Sie mit der Implementierung fort. Beachten Sie die empfohlenen Architektur-Patterns für optimale DSGVO-Konformität."
}
if result.Feasibility == FeasibilityCONDITIONAL {
if len(result.RequiredControls) > 0 {
return fmt.Sprintf("Implementieren Sie die %d erforderlichen Kontrollen vor dem Go-Live. Dokumentieren Sie alle Maßnahmen für den Nachweis der Rechenschaftspflicht (Art. 5 DSGVO).", len(result.RequiredControls))
}
return "Prüfen Sie die ausgelösten Warnungen und implementieren Sie entsprechende Schutzmaßnahmen."
}
return "Der Use Case erfordert grundlegende Änderungen. Prüfen Sie die Lösungsvorschläge."
}
// generateAlternative creates alternative approach suggestions
func (e *PolicyEngine) generateAlternative(result *AssessmentResult, intake *UseCaseIntake, triggeredRules map[string]bool) string {
var suggestions []string
// Find applicable problem-solutions
for _, ps := range e.config.ProblemSolutions {
for _, trigger := range ps.Triggers {
if triggeredRules[trigger.Rule] {
// Check if control is missing (if specified)
if trigger.WithoutControl != "" {
hasControl := false
for _, ctrl := range result.RequiredControls {
if ctrl.ID == trigger.WithoutControl {
hasControl = true
break
}
}
if hasControl {
continue
}
}
// Add first solution as suggestion
if len(ps.Solutions) > 0 {
sol := ps.Solutions[0]
suggestions = append(suggestions, fmt.Sprintf("%s: %s", sol.Title, sol.TeamQuestion))
}
}
}
}
// Fallback suggestions based on intake
if len(suggestions) == 0 {
if intake.ModelUsage.Training && intake.DataTypes.PersonalData {
suggestions = append(suggestions, "Nutzen Sie nur RAG statt Training mit personenbezogenen Daten")
}
if intake.Automation == AutomationFullyAutomated && intake.Outputs.LegalEffects {
suggestions = append(suggestions, "Implementieren Sie Human-in-the-Loop für Entscheidungen mit rechtlichen Auswirkungen")
}
if intake.DataTypes.MinorData && intake.Purpose.EvaluationScoring {
suggestions = append(suggestions, "Verzichten Sie auf automatisches Scoring von Minderjährigen")
}
}
if len(suggestions) == 0 {
return "Überarbeiten Sie den Use Case unter Berücksichtigung der ausgelösten Regeln."
}
return strings.Join(suggestions, " | ")
}
// GetAllRules returns all rules in the policy
func (e *PolicyEngine) GetAllRules() []RuleDef {
return e.config.Rules
}
// GetAllPatterns returns all patterns in the policy
func (e *PolicyEngine) GetAllPatterns() map[string]PatternDef {
return e.config.Patterns
}
// GetAllControls returns all controls in the policy
func (e *PolicyEngine) GetAllControls() map[string]ControlDef {
return e.config.Controls
}
// GetProblemSolutions returns problem-solution mappings
func (e *PolicyEngine) GetProblemSolutions() []ProblemSolutionDef {
return e.config.ProblemSolutions
}
// ============================================================================
// Helper Functions
// ============================================================================
func parseSeverity(s string) Severity {
switch strings.ToUpper(s) {
case "BLOCK":
return SeverityBLOCK
case "WARN":
return SeverityWARN
default:
return SeverityINFO
}
}
func categorizeControl(id string) string {
// Map control IDs to categories
technical := map[string]bool{
"C_ENCRYPTION": true, "C_ACCESS_LOGGING": true,
}
if technical[id] {
return "technical"
}
return "organizational"
}