🛡️ Enterprise Policy Management

This guide covers enterprise-scale policy development, governance, testing, versioning, and deployment strategies for Control Core, with specific focus on regulatory compliance requirements.

🛡️ Policy Lifecycle Management

Policy Development Workflow

┌─────────────────────────────────────────────────────────────┐
│                  Enterprise Policy Lifecycle                │
└─────────────────────────────────────────────────────────────┘

1. Requirements Gathering
   ├─ Compliance requirements (FINTRAC, OSFI, etc.)
   ├─ Business requirements
   └─ Security requirements
   
2. Policy Design
   ├─ Policy templates selection
   ├─ Custom policy development
   └─ Attribute mapping (PIP integration)
   
3. Policy Development
   ├─ Write Rego policies
   ├─ Code review
   └─ Version control (Git)
   
4. Policy Testing
   ├─ Unit tests
   ├─ Integration tests
   └─ Compliance validation
   
5. Policy Deployment
   ├─ Staging environment
   ├─ Production approval
   └─ Gradual rollout
   
6. Policy Monitoring
   ├─ Performance metrics
   ├─ Audit compliance
   └─ Policy effectiveness
   
7. Policy Maintenance
   ├─ Regular review
   ├─ Updates for new regulations
   └─ Deprecation management

🛡️ Policy Organization

Directory Structure

Organize policies for enterprise scale:

policies/
├── README.md
├── .version
├── compliance/
│   ├── fintrac/
│   │   ├── large_cash_transactions.rego
│   │   ├── suspicious_transactions.rego
│   │   ├── kyc_verification.rego
│   │   └── tests/
│   │       ├── large_cash_test.rego
│   │       └── suspicious_test.rego
│   ├── osfi/
│   │   ├── b10_outsourcing.rego
│   │   ├── e21_operational_risk.rego
│   │   └── tests/
│   ├── aml/
│   │   ├── customer_due_diligence.rego
│   │   ├── transaction_monitoring.rego
│   │   └── tests/
│   ├── gdpr/
│   │   ├── data_access_control.rego
│   │   ├── consent_management.rego
│   │   └── tests/
│   └── hipaa/
│       ├── phi_access_control.rego
│       ├── audit_controls.rego
│       └── tests/
├── application/
│   ├── api_access.rego
│   ├── resource_permissions.rego
│   └── tests/
├── identity/
│   ├── authentication.rego
│   ├── role_based_access.rego
│   ├── attribute_based_access.rego
│   └── tests/
├── data/
│   ├── users.json
│   ├── roles.json
│   └── resources.json
├── helpers/
│   ├── time_utils.rego
│   ├── string_utils.rego
│   └── validation_utils.rego
└── ci/
    ├── .gitlab-ci.yml
    ├── .github/workflows/policy-ci.yml
    └── scripts/
        ├── test.sh
        ├── validate.sh
        └── deploy.sh

Naming Conventions

Policy Files:

Use snake_case: transaction_monitoring.rego
Be descriptive: fintrac_large_cash_transaction.rego
Avoid abbreviations unless industry standard

Package Names:

# ✅ Good
package compliance.fintrac.transaction_monitoring
package application.api.resource_access
package identity.rbac

# ❌ Bad
package policy1
package my_policy
package temp

Rule Names:

# ✅ Good
allow if { ... }
deny_reason := "Insufficient privileges"
requires_mfa if { ... }
exceeds_transaction_limit if { ... }

# ❌ Bad
rule1 if { ... }
check if { ... }
xyz := true

🛡️ Policy Versioning

Semantic Versioning

Use semantic versioning for policy releases:

MAJOR.MINOR.PATCH

Example: 2.1.3
├─ 2: Major version (breaking changes)
├─ 1: Minor version (new features, backward compatible)
└─ 3: Patch version (bug fixes)

Version File (.version):

{
  "version": "2.1.3",
  "releaseDate": "2025-01-15",
  "description": "Added FINTRAC EFT reporting threshold",
  "changes": [
    "Added EFT transaction monitoring (>$10,000 CAD)",
    "Updated KYC verification for business accounts",
    "Fixed time zone handling in transaction reporting"
  ],
  "breakingChanges": [],
  "compliance": {
    "fintrac": "compliant",
    "osfi": "compliant",
    "gdpr": "compliant"
  }
}

Git Workflow

Branching Strategy:

main (production)
├── develop (development)
│   ├── feature/fintrac-eft-monitoring
│   ├── feature/osfi-b10-controls
│   └── bugfix/kyc-date-validation
└── hotfix/critical-compliance-fix

Tags:
├── v2.1.3 (production)
├── v2.1.2 (production)
└── v2.1.1 (production)

Commit Message Convention:

# Format: <type>(<scope>): <subject>

# Examples:
git commit -m "feat(fintrac): add EFT transaction monitoring"
git commit -m "fix(osfi): correct vendor approval validation"
git commit -m "docs(aml): update KYC verification requirements"
git commit -m "test(fintrac): add tests for large cash transactions"
git commit -m "refactor(compliance): consolidate date helpers"

# Types:
# - feat: New feature
# - fix: Bug fix
# - docs: Documentation
# - test: Testing
# - refactor: Code refactoring
# - perf: Performance improvement
# - chore: Maintenance

🛡️ Enterprise Policy Patterns

1. Financial Services Compliance

FINTRAC: Large Cash Transaction Reporting (LCTR)

package compliance.fintrac.lctr

import rego.v1

# FINTRAC requires reporting of cash transactions >= $10,000 CAD
default requires_lctr_reporting := false

requires_lctr_reporting if {
    input.transaction.amount >= 10000
    input.transaction.currency == "CAD"
    input.transaction.type == "cash"
}

# Allow transaction but flag for reporting
allow if {
    # User must be authorized
    input.user.roles[_] in ["teller", "financial-advisor", "branch-manager"]
    
    # User must be FINTRAC certified
    input.user.attributes.fintrac_certified == true
    
    # Branch must be compliant
    branch := data.branches[input.context.branch_id]
    branch.fintrac_compliant == true
    
    # Log for FINTRAC reporting
    requires_lctr_reporting
}

# Deny if user not FINTRAC certified
deny_reason := "User must be FINTRAC certified for large cash transactions" if {
    requires_lctr_reporting
    input.user.attributes.fintrac_certified != true
}

# Metadata for reporting
report_metadata := metadata if {
    requires_lctr_reporting
    metadata := {
        "report_type": "LCTR",
        "amount": input.transaction.amount,
        "currency": input.transaction.currency,
        "customer_id": input.resource.attributes.customer_id,
        "transaction_date": input.context.timestamp,
        "branch_id": input.context.branch_id,
        "reporting_deadline": time.add_date(
            time.parse_rfc3339_ns(input.context.timestamp),
            0, 0, 15  # 15 days from transaction
        )
    }
}

OSFI B-10: Third-Party Vendor Access

package compliance.osfi.b10_outsourcing

import rego.v1

default allow := false

# Third-party vendors must be approved
allow if {
    input.user.type == "third_party_vendor"
    
    # Vendor must be in approved list
    vendor := data.approved_vendors[input.user.vendor_id]
    vendor.approval_status == "active"
    
    # Due diligence must be completed
    vendor.due_diligence.completed == true
    vendor.due_diligence.last_review_date >= time.add_date(time.now_ns(), 0, -12, 0)  # Within 12 months
    
    # Access limited to contracted services
    input.resource.type in vendor.contracted_services
    
    # Service level requirements
    vendor.sla.meets_requirements == true
    
    # Monitoring must be enabled
    input.context.vendor_monitoring_enabled == true
    
    # Audit trail required
    input.context.audit_logging_enabled == true
}

deny_reason := "Vendor not approved or due diligence expired" if {
    input.user.type == "third_party_vendor"
    vendor := data.approved_vendors[input.user.vendor_id]
    not vendor.approval_status == "active"
}

deny_reason := "Vendor accessing unauthorized service" if {
    input.user.type == "third_party_vendor"
    vendor := data.approved_vendors[input.user.vendor_id]
    not input.resource.type in vendor.contracted_services
}

2. Healthcare Compliance (HIPAA)

Protected Health Information (PHI) Access

package compliance.hipaa.phi_access

import rego.v1

default allow := false

# HIPAA: Minimum necessary principle
allow if {
    # User must have healthcare role
    input.user.roles[_] in ["physician", "nurse", "pharmacist", "healthcare-admin"]
    
    # User must be assigned to patient
    patient := data.patients[input.resource.attributes.patient_id]
    input.user.user_id in patient.care_team
    
    # Access must be for legitimate healthcare purpose
    valid_purpose(input.context.access_purpose)
    
    # Limit data based on role
    permitted_fields := role_permitted_fields[input.user.roles[_]]
    requested_fields := {field | field := input.resource.attributes.requested_fields[_]}
    requested_fields & permitted_fields == requested_fields
    
    # Break-glass: Emergency access
} else {
    emergency_access_allowed
}

valid_purpose(purpose) if {
    purpose in [
        "treatment",
        "payment",
        "healthcare_operations",
        "research_with_consent"
    ]
}

# Role-based field access
role_permitted_fields := {
    "physician": {"diagnosis", "prescriptions", "test_results", "medical_history"},
    "nurse": {"vital_signs", "prescriptions", "care_notes"},
    "pharmacist": {"prescriptions", "allergies", "current_medications"},
    "billing": {"insurance_info", "billing_codes"}
}

# Emergency access (break-glass)
emergency_access_allowed if {
    input.context.emergency == true
    input.user.roles[_] in ["physician", "nurse", "emergency-staff"]
    
    # Requires post-access audit
    input.context.emergency_justification != ""
}

# Audit requirements
audit_metadata := {
    "user_id": input.user.user_id,
    "patient_id": input.resource.attributes.patient_id,
    "access_time": time.now_ns(),
    "purpose": input.context.access_purpose,
    "fields_accessed": input.resource.attributes.requested_fields,
    "emergency_access": input.context.emergency,
    "justification": input.context.emergency_justification
}

3. AI/LLM Security

Prompt Injection Prevention

package security.ai.prompt_injection

import rego.v1

default allow := true
default deny_reason := ""

# Detect prompt injection attempts
deny_reason := "Potential prompt injection detected" if {
    has_injection_pattern
}

has_injection_pattern if {
    # Check for common injection patterns
    lower_prompt := lower(input.resource.attributes.prompt)
    injection_patterns := [
        "ignore previous instructions",
        "forget everything above",
        "new instructions:",
        "system prompt:",
        "you are now",
        "disregard",
        "override"
    ]
    pattern := injection_patterns[_]
    contains(lower_prompt, pattern)
}

# Content filtering
deny_reason := "Prompt contains restricted content" if {
    restricted_content_detected
}

restricted_content_detected if {
    prompt := input.resource.attributes.prompt
    
    # PII detection
    contains_ssn(prompt)
} else if {
    # Sensitive data
    data.sensitive_keywords[keyword]
    contains(lower(prompt), lower(keyword))
}

contains_ssn(text) if {
    # Simple SSN pattern (US)
    regex.match(`\d{3}-\d{2}-\d{4}`, text)
}

# Rate limiting for AI endpoints
deny_reason := "AI request rate limit exceeded" if {
    user_request_count := count_recent_requests(input.user.user_id)
    user_request_count > data.rate_limits.ai_requests_per_minute
}

# Response validation
validate_response(response) if {
    # Ensure no PII in response
    not contains_pii(response.content)
    
    # Ensure no injection of malicious content
    not contains_malicious_content(response.content)
    
    # Watermark present (if required)
    response.metadata.watermarked == true
}

4. Data Residency & Sovereignty

package compliance.gdpr.data_residency

import rego.v1

default allow := false

# GDPR: Data must stay in EU
allow if {
    # User is EU citizen
    user := data.users[input.user.user_id]
    user.citizenship in ["EU", "EEA"]
    
    # Accessing EU-hosted resource
    resource := data.resources[input.resource.resource_id]
    resource.location in ["eu-west-1", "eu-central-1", "eu-north-1"]
    
    # Data processing has legal basis
    has_legal_basis_for_processing
}

# Legal basis for processing
has_legal_basis_for_processing if {
    # Consent
    consent := data.user_consents[input.user.user_id]
    consent.purpose == input.context.processing_purpose
    consent.granted == true
    consent.expires_at > time.now_ns()
} else if {
    # Contract necessity
    input.context.processing_purpose == "contract_performance"
} else if {
    # Legal obligation
    input.context.processing_purpose == "legal_compliance"
} else if {
    # Legitimate interest (with balancing test)
    input.context.processing_purpose == "legitimate_interest"
    data.legitimate_interests[input.context.interest_type].balancing_test_passed == true
}

# Deny cross-border transfer without safeguards
deny_reason := "Cross-border data transfer not permitted without adequate safeguards" if {
    user := data.users[input.user.user_id]
    user.citizenship in ["EU", "EEA"]
    
    resource := data.resources[input.resource.resource_id]
    not resource.location in ["eu-west-1", "eu-central-1", "eu-north-1"]
    
    # Check if Standard Contractual Clauses (SCC) in place
    not has_transfer_safeguards
}

has_transfer_safeguards if {
    transfer := data.cross_border_transfers[input.resource.resource_id]
    transfer.scc_in_place == true
    transfer.data_protection_assessment.adequate == true
}

# Right to erasure (Right to be forgotten)
allow_erasure if {
    input.action == "delete"
    input.resource.type == "personal_data"
    input.user.user_id == input.resource.attributes.data_subject_id
    
    # No legal obligation to retain
    not retention_required
}

retention_required if {
    # Check retention schedules
    retention := data.retention_schedules[input.resource.type]
    created_date := time.parse_rfc3339_ns(input.resource.attributes.created_at)
    retention_end := time.add_date(created_date, 0, retention.months, 0)
    time.now_ns() < retention_end
}

🛡️ Policy Testing Strategy

Unit Testing

Test File Example (large_cash_test.rego):

package compliance.fintrac.lctr

import rego.v1

# Test: Allow FINTRAC-certified teller for large cash transaction
test_allow_certified_teller if {
    result := allow with input as {
        "user": {
            "user_id": "teller001",
            "roles": ["teller"],
            "attributes": {"fintrac_certified": true}
        },
        "transaction": {
            "amount": 15000,
            "currency": "CAD",
            "type": "cash"
        },
        "context": {
            "branch_id": "branch_001"
        }
    } with data.branches as {
        "branch_001": {"fintrac_compliant": true}
    }
    
    result == true
}

# Test: Deny non-certified user for large cash transaction
test_deny_non_certified_user if {
    result := allow with input as {
        "user": {
            "user_id": "teller002",
            "roles": ["teller"],
            "attributes": {"fintrac_certified": false}
        },
        "transaction": {
            "amount": 15000,
            "currency": "CAD",
            "type": "cash"
        },
        "context": {
            "branch_id": "branch_001"
        }
    } with data.branches as {
        "branch_001": {"fintrac_compliant": true}
    }
    
    result == false
}

# Test: LCTR reporting metadata
test_lctr_metadata if {
    metadata := report_metadata with input as {
        "transaction": {
            "amount": 15000,
            "currency": "CAD",
            "type": "cash"
        },
        "resource": {
            "attributes": {"customer_id": "cust_123"}
        },
        "context": {
            "timestamp": "2025-01-15T10:00:00Z",
            "branch_id": "branch_001"
        }
    }
    
    metadata.report_type == "LCTR"
    metadata.amount == 15000
}

Running Tests:

# Run all tests
opa test policies/ -v

# Run specific package tests
opa test policies/compliance/fintrac/ -v

# Generate coverage report
opa test policies/ --coverage --format=json > coverage.json

# Set coverage threshold
opa test policies/ --threshold=80

Integration Testing

Integration Test Script (scripts/integration-test.sh):

#!/bin/bash

# Integration test against running Control Core instance

API_URL="https://api.staging.your-domain.com"
TOKEN="$STAGING_API_TOKEN"

# Test 1: FINTRAC large cash transaction
echo "Test 1: FINTRAC large cash transaction"
curl -X POST "$API_URL/v1/authorize" \
  -H "Authorization: Bearer $TOKEN" \
  -d '{
    "user": {
      "user_id": "teller001",
      "roles": ["teller"],
      "attributes": {"fintrac_certified": true}
    },
    "action": "process",
    "resource": {
      "type": "transaction",
      "attributes": {
        "amount": 15000,
        "currency": "CAD",
        "type": "cash"
      }
    }
  }' | jq '.result'

# Expected: {"allow": true, "metadata": {"requires_lctr_reporting": true}}

# Test 2: OSFI vendor access
echo "Test 2: OSFI vendor access"
curl -X POST "$API_URL/v1/authorize" \
  -H "Authorization: Bearer $TOKEN" \
  -d '{
    "user": {
      "user_id": "vendor001",
      "type": "third_party_vendor",
      "vendor_id": "v123"
    },
    "action": "access",
    "resource": {
      "type": "customer_data"
    }
  }' | jq '.result'

# Add more tests...

Compliance Validation

Compliance Test Suite (scripts/compliance-validation.sh):

#!/bin/bash

echo "Running Compliance Validation..."

# FINTRAC Compliance Checks
echo "✓ Checking FINTRAC compliance..."
opa test policies/compliance/fintrac/ --threshold=100 || exit 1

# OSFI Compliance Checks
echo "✓ Checking OSFI compliance..."
opa test policies/compliance/osfi/ --threshold=100 || exit 1

# AML Compliance Checks
echo "✓ Checking AML compliance..."
opa test policies/compliance/aml/ --threshold=100 || exit 1

# GDPR Compliance Checks
echo "✓ Checking GDPR compliance..."
opa test policies/compliance/gdpr/ --threshold=100 || exit 1

# Policy lint
echo "✓ Linting policies..."
opa check policies/ --strict || exit 1

# Security scan
echo "✓ Scanning for security issues..."
./scripts/security-scan.sh || exit 1

echo "✅ All compliance checks passed!"

🔌 CI/CD Integration

GitHub Actions Workflow

.github/workflows/policy-ci.yml:

name: Policy CI/CD

on:
  push:
    branches: [main, develop]
  pull_request:
    branches: [main, develop]

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3
    
    - name: Setup OPA
      uses: open-policy-agent/setup-opa@v2
      with:
        version: latest
    
    - name: Run OPA tests
      run: |
        opa test policies/ -v --threshold=80
    
    - name: Generate coverage report
      run: |
        opa test policies/ --coverage --format=json > coverage.json
    
    - name: Upload coverage
      uses: codecov/codecov-action@v3
      with:
        files: ./coverage.json
  
  lint:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3
    
    - name: Lint policies
      run: |
        opa check policies/ --strict
  
  compliance:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3
    
    - name: FINTRAC compliance validation
      run: |
        opa test policies/compliance/fintrac/ --threshold=100
    
    - name: OSFI compliance validation
      run: |
        opa test policies/compliance/osfi/ --threshold=100
    
    - name: Generate compliance report
      run: |
        ./scripts/generate-compliance-report.sh
    
    - name: Upload compliance report
      uses: actions/upload-artifact@v3
      with:
        name: compliance-report
        path: compliance-report.pdf
  
  deploy-staging:
    needs: [test, lint, compliance]
    if: github.ref == 'refs/heads/develop'
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3
    
    - name: Deploy to staging
      run: |
        ./scripts/deploy.sh staging
      env:
        STAGING_API_TOKEN: ${{ secrets.STAGING_API_TOKEN }}
    
    - name: Run integration tests
      run: |
        ./scripts/integration-test.sh staging
  
  deploy-production:
    needs: [test, lint, compliance]
    if: github.ref == 'refs/heads/main'
    runs-on: ubuntu-latest
    environment:
      name: production
      url: https://console.your-domain.com
    steps:
    - uses: actions/checkout@v3
    
    - name: Create release
      uses: actions/create-release@v1
      env:
        GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
      with:
        tag_name: v${{ github.run_number }}
        release_name: Release v${{ github.run_number }}
        body_path: CHANGELOG.md
    
    - name: Deploy to production
      run: |
        ./scripts/deploy.sh production
      env:
        PRODUCTION_API_TOKEN: ${{ secrets.PRODUCTION_API_TOKEN }}
    
    - name: Verify deployment
      run: |
        ./scripts/verify-deployment.sh production
    
    - name: Notify stakeholders
      run: |
        ./scripts/notify.sh "Policies deployed to production"

GitLab CI Workflow

.gitlab-ci.yml:

stages:
  - test
  - lint
  - compliance
  - deploy-staging
  - deploy-production

variables:
  OPA_VERSION: "latest"

test:
  stage: test
  image: openpolicyagent/opa:$OPA_VERSION
  script:
    - opa test policies/ -v --threshold=80
    - opa test policies/ --coverage --format=json > coverage.json
  coverage: '/Coverage: \d+\.\d+/'
  artifacts:
    reports:
      coverage_report:
        coverage_format: cobertura
        path: coverage.json

lint:
  stage: lint
  image: openpolicyagent/opa:$OPA_VERSION
  script:
    - opa check policies/ --strict

compliance:
  stage: compliance
  image: openpolicyagent/opa:$OPA_VERSION
  script:
    - opa test policies/compliance/fintrac/ --threshold=100
    - opa test policies/compliance/osfi/ --threshold=100
    - ./scripts/generate-compliance-report.sh
  artifacts:
    paths:
      - compliance-report.pdf
    expire_in: 1 year

deploy-staging:
  stage: deploy-staging
  only:
    - develop
  script:
    - ./scripts/deploy.sh staging
  environment:
    name: staging
    url: https://staging.your-domain.com

deploy-production:
  stage: deploy-production
  only:
    - main
  script:
    - ./scripts/deploy.sh production
    - ./scripts/verify-deployment.sh production
  environment:
    name: production
    url: https://console.your-domain.com
  when: manual  # Require manual approval

🚀 Policy Deployment Strategies

1. Blue-Green Deployment

Deploy new policies alongside existing ones, then switch:

#!/bin/bash
# blue-green-deploy.sh

# Deploy new policies to "green" environment
kubectl apply -f policies-green.yaml

# Run validation tests
./scripts/validate-green.sh

# If tests pass, switch traffic
kubectl patch service bouncer -p '{"spec":{"selector":{"version":"green"}}}'

# Monitor for issues
sleep 300

# If successful, remove blue environment
kubectl delete -f policies-blue.yaml

echo "Deployment complete"

2. Canary Deployment

Gradually roll out new policies to a subset of users:

#!/bin/bash
# canary-deploy.sh

# Deploy canary with 10% traffic
kubectl apply -f policies-canary.yaml
kubectl patch ingress bouncer --type='json' -p='[{"op": "add", "path": "/metadata/annotations/nginx.ingress.kubernetes.io~1canary", "value":"true"},{"op": "add", "path": "/metadata/annotations/nginx.ingress.kubernetes.io~1canary-weight", "value":"10"}]'

# Monitor metrics
echo "Monitoring canary for 30 minutes..."
sleep 1800

# If metrics good, increase to 50%
kubectl patch ingress bouncer --type='json' -p='[{"op": "replace", "path": "/metadata/annotations/nginx.ingress.kubernetes.io~1canary-weight", "value":"50"}]'

sleep 1800

# If still good, promote to 100%
kubectl patch ingress bouncer --type='json' -p='[{"op": "replace", "path": "/metadata/annotations/nginx.ingress.kubernetes.io~1canary-weight", "value":"100"}]'

echo "Canary deployment complete"

3. Feature Flags

Use feature flags to enable/disable policies:

package feature_flags

import rego.v1

# Check if feature is enabled
feature_enabled(feature_name) if {
    flags := data.feature_flags
    flags[feature_name].enabled == true
    
    # Check if user in rollout percentage
    user_hash := hash_user_id(input.user.user_id)
    rollout_percentage := flags[feature_name].rollout_percentage
    user_hash mod 100 < rollout_percentage
}

# Use in policy
allow if {
    # New policy logic (behind feature flag)
    feature_enabled("new_fintrac_rules")
    # ... new policy logic
} else {
    # Fallback to old policy logic
    # ... old policy logic
}

🛡️ Policy Governance

Policy Review Process

┌────────────────────────────────────────────────────────┐
│            Policy Review & Approval Process            │
└────────────────────────────────────────────────────────┘

1. Policy Author submits pull request
   ├─ Policy code
   ├─ Tests (>80% coverage)
   ├─ Documentation
   └─ Compliance checklist

2. Automated Checks (CI/CD)
   ├─ Syntax validation
   ├─ Test execution
   ├─ Coverage threshold
   ├─ Compliance validation
   └─ Security scan

3. Code Review
   ├─ Peer review (2+ approvals)
   ├─ Policy architect review
   └─ Security team review

4. Compliance Review (if applicable)
   ├─ Legal team review
   ├─ Compliance officer review
   └─ Risk assessment

5. Approval
   ├─ CTO/CISO approval for critical policies
   └─ Policy committee approval for compliance

6. Deployment
   ├─ Staging deployment
   ├─ Integration testing
   ├─ Production deployment (with approval)
   └─ Monitoring

7. Post-Deployment
   ├─ Effectiveness monitoring
   ├─ Audit compliance verification
   └─ Documentation update

Policy Ownership

RACI Matrix:

Activity	Policy Author	Security Team	Compliance	Legal	CTO/CISO
Policy Development	R	C	C	I	I
Code Review	I	R	C	I	I
Compliance Review	I	C	R	R	A
Approval	I	C	A	A	R
Deployment	R	C	I	I	A
Monitoring	R	R	C	I	I
Audit	I	C	R	R	A

Legend:

R: Responsible (does the work)
A: Accountable (final approval)
C: Consulted (provides input)
I: Informed (kept in the loop)

Policy Deprecation

Deprecation Process:

Announce deprecation (90 days notice)
Add deprecation warning to policy
Monitor usage and notify users
Provide migration guide
Disable policy after grace period
Archive for compliance (7 years)

Deprecation Example:

package legacy.policy

import rego.v1

# DEPRECATED: This policy will be removed on 2025-04-15
# Please migrate to compliance.fintrac.lctr.v2
# Migration guide: https://docs.controlcore.com/policies/migration/lctr-v2

allow if {
    # Old logic
    true
}

# Warning for users
metadata := {
    "deprecated": true,
    "deprecation_date": "2025-01-15",
    "removal_date": "2025-04-15",
    "replacement": "compliance.fintrac.lctr.v2",
    "migration_guide": "https://docs.controlcore.com/policies/migration/lctr-v2"
}

📌 Monitoring and Analytics

Policy Performance Metrics

Key Metrics:

Metric	Target	Alert Threshold
Policy evaluation latency (P95)	< 50ms	> 100ms
Policy denial rate	< 5%	> 10%
Policy error rate	< 0.1%	> 1%
Policy cache hit rate	> 90%	< 80%
Compliance policy adherence	100%	< 100%

Audit Reports

Generate compliance audit reports:

# Generate FINTRAC audit report
curl -X POST https://api.your-domain.com/v1/reports/audit \
  -H "Authorization: Bearer $TOKEN" \
  -d '{
    "report_type": "fintrac_compliance",
    "start_date": "2025-01-01",
    "end_date": "2025-01-31",
    "include_transactions": true,
    "include_policy_decisions": true
  }'

📌 Best Practices

1. Policy Design Principles

Principle of Least Privilege: Deny by default
Separation of Concerns: One policy, one purpose
Defense in Depth: Multiple layers of controls
Auditability: Log all decisions
Performance: Optimize for speed

2. Security Best Practices

Never hardcode secrets in policies
Use data sources (PIPs) for dynamic data
Validate all inputs before processing
Sanitize outputs to prevent leakage
Rate limit expensive operations

3. Compliance Best Practices

Document all compliance controls
Map policies to regulations (FINTRAC, OSFI, etc.)
Maintain audit trail for 7+ years
Regular compliance reviews (quarterly)
Automate compliance testing

4. Performance Best Practices

Cache aggressively where appropriate
Minimize data fetching from external sources
Use indexes for large datasets
Profile policies to find bottlenecks
Optimize Rego (avoid unnecessary iterations)

📌 Next Steps

Rego Guidelines: Learn Rego best practices
Policy Templates: Use pre-built templates
PIP Integration: Connect real-time data sources
User Guide: Day-to-day policy management
API Reference: Automate policy deployment

Enterprise policy management requires discipline, governance, and automation. Control Core provides the tools—your organization provides the process.