access-control-policy

---

name: access-control-policy description: Identity and access management: RBAC, least privilege, MFA, quarterly reviews per ISO 27001 A.5.15, A.8.2, A.8.3 license: Apache-2.0

Access Control Policy Skill

Purpose

This skill provides systematic guidance for implementing zero-trust access control within the CIA platform, ensuring identity-centric security through role-based access control (RBAC), least privilege principle, multi-factor authentication (MFA), and regular access reviews per ISO 27001 A.5.15, A.8.2, and A.8.3.

When to Use This Skill

Apply this skill when:

• ✅ Implementing authentication and authorization systems
• ✅ Designing role-based access control (RBAC) models
• ✅ Configuring MFA for privileged accounts
• ✅ Establishing access review procedures
• ✅ Implementing least privilege access controls
• ✅ Setting up identity federation (AWS IAM Identity Center, GitHub SSO)
• ✅ Conducting quarterly access audits
• ✅ Managing privileged access (break-glass procedures)

Do NOT skip for:

• ❌ Internal-only systems (still require authentication)
• ❌ Development environments (may contain production data)
• ❌ Administrative interfaces (highest risk, require MFA)
• ❌ API access (requires API keys, OAuth tokens)

Zero-Trust Access Architecture

Identity-Centric Design Principle

graph TD
    subgraph Identity["🔐 Identity Provider"]
        PRIMARY["Primary IdP<br/>🔐 MFA Enforced<br/>Central Authentication"]
    end
    
    subgraph Cloud["☁️ Cloud Infrastructure"]
        IDC["AWS Identity Center<br/>🔐 SSO + MFA"]
        IAM["IAM Roles<br/>🛡️ Least Privilege"]
        ACCOUNTS["AWS Accounts<br/>📊 Federated Access"]
    end
    
    subgraph Dev["📝 Development"]
        GITHUB["GitHub Organization<br/>🔐 MFA Required"]
        CICD["CI/CD Pipeline<br/>🔑 Service Accounts"]
    end
    
    subgraph Business["💼 Business Systems"]
        FINANCE["Financial Systems<br/>💰 Hardware Token"]
        MARKETING["Marketing Tools<br/>📱 Platform MFA"]
        SECURITY["Security Tools<br/>🛡️ Enhanced MFA"]
    end
    
    PRIMARY --> IDC
    PRIMARY --> GITHUB
    PRIMARY --> FINANCE
    
    IDC --> IAM
    IDC --> ACCOUNTS
    GITHUB --> CICD
    
    style Identity fill:#1565C0
    style Cloud fill:#4CAF50
    style Dev fill:#FF9800
    style Business fill:#7B1FA2

Access Control Matrix

Integration with Classification Framework:

Asset Category	Classification	Access Method	MFA Requirement	Session Timeout	Review Frequency
RESTRICTED Data	Extreme	Hardware MFA + Zero Trust	FIDO2 + Backup	1 hour	Monthly
Cloud Infrastructure	Very High	Identity Center SSO	Hardware + TOTP	4 hours	Monthly
Development Platform	High	Platform MFA + SSH Keys	TOTP + SSH Cert	8 hours	Quarterly
Financial Systems	Very High	Provider MFA	Hardware Token	1 hour	Monthly
Business Intelligence	Moderate	SSO Integration	TOTP	24 hours	Semi-Annual
Marketing Platforms	Public/Internal	Platform Native	Platform MFA	7 days	Annual

Role-Based Access Control (RBAC)

RBAC Implementation in Spring Security

Permission Levels and Scope:

/**
 * RBAC role hierarchy for CIA platform
 * 
 * Implements ISO 27001 A.8.2 (Privileged access rights)
 * 
 * @see <a href="https://github.com/Hack23/ISMS-PUBLIC/blob/main/Access_Control_Policy.md">Access Control Policy</a>
 */
@Configuration
@EnableGlobalMethodSecurity(
    prePostEnabled = true,
    securedEnabled = true,
    jsr250Enabled = true
)
public class SecurityConfig {
    
    @Bean
    public RoleHierarchy roleHierarchy() {
        RoleHierarchyImpl hierarchy = new RoleHierarchyImpl();
        
        // RBAC hierarchy: higher roles inherit lower role permissions
        hierarchy.setHierarchy(
            "ROLE_ADMIN > ROLE_PARTY_ANALYST\n" +
            "ROLE_PARTY_ANALYST > ROLE_AUTHENTICATED_USER\n" +
            "ROLE_AUTHENTICATED_USER > ROLE_GUEST"
        );
        
        return hierarchy;
    }
    
    @Bean
    public SecurityFilterChain filterChain(HttpSecurity http) throws Exception {
        http
            .authorizeHttpRequests(authz -> authz
                // PUBLIC: No authentication required
                .requestMatchers("/api/public/**").permitAll()
                .requestMatchers("/", "/login", "/register").permitAll()
                
                // INTERNAL: Authentication required
                .requestMatchers("/api/internal/**").authenticated()
                
                // CONFIDENTIAL: Specific roles required
                .requestMatchers("/api/party-financial/**")
                    .hasRole("PARTY_ANALYST")
                
                // RESTRICTED: Admin only with MFA
                .requestMatchers("/api/admin/**")
                    .hasRole("ADMIN")
                    .access("@mfaVerifier.isMfaAuthenticated(authentication)")
                
                // Default: Require authentication
                .anyRequest().authenticated()
            )
            .sessionManagement(session -> session
                .sessionCreationPolicy(SessionCreationPolicy.IF_REQUIRED)
                // Session timeout based on access level
                .maximumSessions(1)
                .maxSessionsPreventsLogin(true)
            )
            .csrf(csrf -> csrf
                .csrfTokenRepository(CookieCsrfTokenRepository.withHttpOnlyFalse())
            );
        
        return http.build();
    }
}

Role Definitions

Role	Scope	Permissions	Use Cases	Access Pattern
ROLE_ADMIN	System-wide	Full access, user management, security config	Emergency operations, security incidents	Break-glass only
ROLE_PARTY_ANALYST	Party data	Read/write party financial records, voting analysis	Political analysis, report generation	Daily operations
ROLE_AUTHENTICATED_USER	Public + internal	Read public data, basic operations	Registered users, researchers	Standard usage
ROLE_GUEST	Public only	Read public voting records, party information	Anonymous visitors	Public access

Least Privilege Enforcement

/**
 * Service-level access control with least privilege
 * 
 * Implements ISO 27001 A.8.2 - Privileged access rights
 */
@Service
public class PartyFinancialService {
    
    private final AuditLogger auditLogger;
    private final PartyFinancialRepository repository;
    
    // CONFIDENTIAL data requires specific role
    @PreAuthorize("hasRole('PARTY_ANALYST') or hasRole('ADMIN')")
    @PostAuthorize("returnObject.userId == authentication.principal.username or hasRole('ADMIN')")
    public PartyFinancialRecord getFinancialRecord(Long recordId) {
        auditLogger.logAccess(
            "CONFIDENTIAL", 
            "party_financial_record", 
            recordId,
            SecurityContextHolder.getContext().getAuthentication().getName()
        );
        
        return repository.findById(recordId)
            .orElseThrow(() -> new AccessDeniedException("Record not found or access denied"));
    }
    
    // Write operations require explicit role check
    @PreAuthorize("hasRole('PARTY_ANALYST')")
    @Audited(action = "CREATE", resourceType = "party_financial_record")
    public PartyFinancialRecord createRecord(PartyFinancialRecord record) {
        // Validation and business logic
        return repository.save(record);
    }
    
    // Admin-only operations with MFA verification
    @PreAuthorize("hasRole('ADMIN') and @mfaVerifier.isMfaAuthenticated(authentication)")
    @Audited(action = "DELETE", resourceType = "party_financial_record", severity = "HIGH")
    public void deleteRecord(Long recordId) {
        auditLogger.logPrivilegedAction(
            "DELETE_FINANCIAL_RECORD",
            recordId,
            SecurityContextHolder.getContext().getAuthentication().getName()
        );
        
        repository.deleteById(recordId);
    }
}

Multi-Factor Authentication (MFA)

MFA Requirements by Access Level

graph TD
    subgraph Access["🔐 Access Levels"]
        ADMIN["Admin Access<br/>🚨 Break-Glass"]
        PRIVILEGED["Privileged Data<br/>💰 Financial Systems"]
        STANDARD["Standard Access<br/>📊 Business Data"]
        PUBLIC["Public Access<br/>🌐 No Authentication"]
    end
    
    subgraph MFA["🔑 MFA Methods"]
        HARDWARE["Hardware Token<br/>🔐 FIDO2, YubiKey"]
        TOTP["TOTP App<br/>📱 Authenticator"]
        SMS["SMS Backup<br/>📞 Secondary"]
        PLATFORM["Platform Native<br/>🏢 GitHub, AWS"]
    end
    
    subgraph Verify["✅ Verification"]
        CONTINUOUS["Continuous Verification<br/>⏱️ Session Monitoring"]
        PERIODIC["Periodic Re-auth<br/>🔄 Timeout-Based"]
        ONETIME["One-Time Verification<br/>✅ Login Only"]
    end
    
    ADMIN --> HARDWARE
    PRIVILEGED --> HARDWARE
    PRIVILEGED --> TOTP
    STANDARD --> TOTP
    STANDARD --> PLATFORM
    
    HARDWARE --> CONTINUOUS
    TOTP --> PERIODIC
    PLATFORM --> ONETIME
    
    style Access fill:#1565C0
    style MFA fill:#FF9800
    style Verify fill:#4CAF50

MFA Implementation Example

/**
 * MFA verification service
 * 
 * Implements ISO 27001 A.5.17 - Authentication information
 */
@Service
public class MfaVerificationService {
    
    private final TotpService totpService;
    private final AuditLogger auditLogger;
    
    /**
     * Verify MFA token for privileged operations
     * 
     * @param authentication Current authentication
     * @return true if MFA verified within acceptable window
     */
    public boolean isMfaAuthenticated(Authentication authentication) {
        if (authentication == null || !authentication.isAuthenticated()) {
            return false;
        }
        
        Object principal = authentication.getPrincipal();
        if (!(principal instanceof UserDetails)) {
            return false;
        }
        
        UserDetails user = (UserDetails) principal;
        String username = user.getUsername();
        
        // Check if MFA verified within last hour
        LocalDateTime mfaVerifiedAt = getMfaVerificationTime(username);
        LocalDateTime now = LocalDateTime.now();
        
        if (mfaVerifiedAt == null || 
            Duration.between(mfaVerifiedAt, now).toHours() >= 1) {
            auditLogger.logMfaRequired(username);
            return false;
        }
        
        return true;
    }
    
    /**
     * Verify TOTP code and update verification timestamp
     */
    public boolean verifyTotpCode(String username, String totpCode) {
        boolean isValid = totpService.verifyCode(username, totpCode);
        
        if (isValid) {
            updateMfaVerificationTime(username, LocalDateTime.now());
            auditLogger.logMfaSuccess(username);
        } else {
            auditLogger.logMfaFailure(username);
        }
        
        return isValid;
    }
    
    /**
     * Require MFA re-verification for privileged operation
     */
    public void requireMfaReVerification(String username) {
        clearMfaVerificationTime(username);
        auditLogger.logMfaRequired(username, "PRIVILEGED_OPERATION");
    }
}

/**
 * MFA controller for verification flow
 */
@RestController
@RequestMapping("/api/auth/mfa")
public class MfaController {
    
    private final MfaVerificationService mfaService;
    
    @PostMapping("/verify")
    @PreAuthorize("isAuthenticated()")
    public ResponseEntity<MfaVerificationResponse> verifyMfa(
            @RequestBody @Valid MfaVerificationRequest request,
            Authentication authentication) {
        
        String username = authentication.getName();
        boolean isValid = mfaService.verifyTotpCode(username, request.getTotpCode());
        
        if (isValid) {
            return ResponseEntity.ok(new MfaVerificationResponse(true, "MFA verified"));
        } else {
            return ResponseEntity.status(HttpStatus.UNAUTHORIZED)
                .body(new MfaVerificationResponse(false, "Invalid MFA code"));
        }
    }
    
    @GetMapping("/status")
    @PreAuthorize("isAuthenticated()")
    public ResponseEntity<MfaStatusResponse> getMfaStatus(Authentication authentication) {
        String username = authentication.getName();
        boolean isMfaVerified = mfaService.isMfaAuthenticated(authentication);
        
        return ResponseEntity.ok(new MfaStatusResponse(isMfaVerified));
    }
}

Session Management by Classification

/**
 * Dynamic session timeout based on data classification
 */
@Configuration
public class SessionConfig {
    
    @Bean
    public SessionRegistry sessionRegistry() {
        return new SessionRegistryImpl();
    }
    
    /**
     * Configure session timeout based on access level
     */
    @Bean
    public HttpSessionEventPublisher httpSessionEventPublisher() {
        return new HttpSessionEventPublisher();
    }
    
    /**
     * Session timeout customizer
     */
    @Component
    public class SessionTimeoutCustomizer implements ServletContextInitializer {
        
        @Override
        public void onStartup(ServletContext servletContext) throws ServletException {
            // Default session timeout: 30 minutes
            servletContext.setSessionTimeout(30);
        }
    }
    
    /**
     * Dynamic timeout adjustment based on role
     */
    @Component
    public class DynamicSessionTimeoutManager {
        
        public int getSessionTimeout(Authentication authentication) {
            Collection<? extends GrantedAuthority> authorities = 
                authentication.getAuthorities();
            
            // ADMIN: 1 hour (RESTRICTED data access)
            if (authorities.stream().anyMatch(a -> a.getAuthority().equals("ROLE_ADMIN"))) {
                return 60;
            }
            
            // PARTY_ANALYST: 4 hours (CONFIDENTIAL data access)
            if (authorities.stream().anyMatch(a -> a.getAuthority().equals("ROLE_PARTY_ANALYST"))) {
                return 240;
            }
            
            // AUTHENTICATED_USER: 8 hours (INTERNAL data access)
            if (authorities.stream().anyMatch(a -> a.getAuthority().equals("ROLE_AUTHENTICATED_USER"))) {
                return 480;
            }
            
            // Default: 30 minutes
            return 30;
        }
    }
}

Quarterly Access Reviews

Access Review Procedure

graph TD
    START["🔍 Start Access Review"] --> EXTRACT["📊 Extract Access Data"]
    
    EXTRACT --> ANALYZE{"📈 Analysis"}
    
    ANALYZE --> DORMANT["🚫 Identify Dormant Accounts<br/>>90 days no activity"]
    ANALYZE --> EXCESSIVE["⚠️ Identify Excessive Permissions<br/>More than role requires"]
    ANALYZE --> SEGREGATION["🔀 Check Segregation of Duties<br/>Incompatible roles"]
    
    DORMANT --> REVIEW{"👤 CEO Review"}
    EXCESSIVE --> REVIEW
    SEGREGATION --> REVIEW
    
    REVIEW -->|Revoke| REVOKE["🔒 Revoke Access"]
    REVIEW -->|Retain| DOCUMENT["📝 Document Justification"]
    REVIEW -->|Modify| ADJUST["⚙️ Adjust Permissions"]
    
    REVOKE --> AUDIT["📋 Audit Trail"]
    DOCUMENT --> AUDIT
    ADJUST --> AUDIT
    
    AUDIT --> REPORT["📊 Review Report"]
    REPORT --> STORE["💾 Store Evidence"]
    
    style START fill:#1565C0
    style REVIEW fill:#FF9800
    style AUDIT fill:#4CAF50

Automated Access Review Script

#!/bin/bash
# Quarterly Access Review Script
# Implements ISO 27001 A.5.18 - Access rights review
#
# Usage: ./quarterly-access-review.sh

set -euo pipefail

REPORT_DATE=$(date +%Y-%m-%d)
REVIEW_PERIOD_DAYS=90
REPORT_FILE="access-review-${REPORT_DATE}.md"

echo "# Quarterly Access Review - ${REPORT_DATE}" > "${REPORT_FILE}"
echo "" >> "${REPORT_FILE}"

# 1. Identify dormant accounts
echo "## Dormant Accounts (>90 days inactive)" >> "${REPORT_FILE}"
echo "" >> "${REPORT_FILE}"

# AWS IAM Access Analyzer - unused access detection
aws accessanalyzer list-analyzers --region us-east-1 --output json | \
  jq -r '.analyzers[] | select(.status=="ACTIVE") | .name' | \
  while read -r analyzer; do
    echo "### AWS Analyzer: ${analyzer}" >> "${REPORT_FILE}"
    
    # Get findings for unused access
    aws accessanalyzer list-findings \
      --analyzer-arn "arn:aws:access-analyzer:us-east-1:ACCOUNT_ID:analyzer/${analyzer}" \
      --filter 'resourceType=AWS::IAM::User,status=ACTIVE' \
      --region us-east-1 \
      --output json | \
      jq -r '.findings[] | "- User: \(.resource) - Last accessed: \(.analyzedAt)"' \
      >> "${REPORT_FILE}"
  done

echo "" >> "${REPORT_FILE}"

# 2. GitHub dormant users
echo "## GitHub Dormant Users" >> "${REPORT_FILE}"
echo "" >> "${REPORT_FILE}"

gh api orgs/Hack23/members --paginate | \
  jq -r '.[].login' | \
  while read -r user; do
    # Get last activity
    LAST_ACTIVITY=$(gh api "users/${user}/events" --jq '.[0].created_at' 2>/dev/null || echo "never")
    
    if [[ "${LAST_ACTIVITY}" == "never" ]] || \
       [[ $(date -d "${LAST_ACTIVITY}" +%s) -lt $(date -d "${REVIEW_PERIOD_DAYS} days ago" +%s) ]]; then
      echo "- ${user}: Last activity ${LAST_ACTIVITY}" >> "${REPORT_FILE}"
    fi
  done

echo "" >> "${REPORT_FILE}"

# 3. Privileged access audit
echo "## Privileged Access Audit" >> "${REPORT_FILE}"
echo "" >> "${REPORT_FILE}"

# AWS IAM users with admin policies
echo "### AWS Admin Users" >> "${REPORT_FILE}"
aws iam list-users --output json | \
  jq -r '.Users[].UserName' | \
  while read -r user; do
    # Check for admin policies
    aws iam list-attached-user-policies --user-name "${user}" --output json | \
      jq -r '.AttachedPolicies[] | select(.PolicyName | contains("Admin")) | .PolicyName' | \
      while read -r policy; do
        echo "- ${user}: ${policy}" >> "${REPORT_FILE}"
      done
  done

echo "" >> "${REPORT_FILE}"

# 4. MFA compliance
echo "## MFA Compliance Status" >> "${REPORT_FILE}"
echo "" >> "${REPORT_FILE}"

# AWS IAM users without MFA
echo "### AWS Users Without MFA" >> "${REPORT_FILE}"
aws iam list-users --output json | \
  jq -r '.Users[].UserName' | \
  while read -r user; do
    MFA_DEVICES=$(aws iam list-mfa-devices --user-name "${user}" --output json | jq '.MFADevices | length')
    
    if [[ "${MFA_DEVICES}" -eq 0 ]]; then
      echo "- ${user}: No MFA configured" >> "${REPORT_FILE}"
    fi
  done

echo "" >> "${REPORT_FILE}"

# 5. Generate summary
echo "## Review Summary" >> "${REPORT_FILE}"
echo "" >> "${REPORT_FILE}"
echo "- Review Date: ${REPORT_DATE}" >> "${REPORT_FILE}"
echo "- Review Period: Last ${REVIEW_PERIOD_DAYS} days" >> "${REPORT_FILE}"
echo "- Reviewer: CEO" >> "${REPORT_FILE}"
echo "- Next Review Date: $(date -d '+3 months' +%Y-%m-%d)" >> "${REPORT_FILE}"
echo "" >> "${REPORT_FILE}"
echo "## Actions Required" >> "${REPORT_FILE}"
echo "" >> "${REPORT_FILE}"
echo "- [ ] Review and revoke dormant accounts" >> "${REPORT_FILE}"
echo "- [ ] Verify privileged access justifications" >> "${REPORT_FILE}"
echo "- [ ] Enforce MFA for non-compliant users" >> "${REPORT_FILE}"
echo "- [ ] Document decisions in audit trail" >> "${REPORT_FILE}"

echo "Access review report generated: ${REPORT_FILE}"

AWS IAM Access Analyzer Integration

Continuous Access Monitoring

# CloudFormation template for IAM Access Analyzer
Resources:
  AccessAnalyzer:
    Type: AWS::AccessAnalyzer::Analyzer
    Properties:
      AnalyzerName: cia-access-analyzer
      Type: ACCOUNT
      Tags:
        - Key: Purpose
          Value: ContinuousAccessMonitoring
        - Key: ISMSControl
          Value: ISO27001-A.5.18

  # EventBridge rule for access findings
  AccessAnalyzerEventRule:
    Type: AWS::Events::Rule
    Properties:
      Name: access-analyzer-findings
      Description: Alert on new IAM Access Analyzer findings
      EventPattern:
        source:
          - aws.access-analyzer
        detail-type:
          - Access Analyzer Finding
        detail:
          status:
            - ACTIVE
      State: ENABLED
      Targets:
        - Arn: !GetAtt AccessAnalyzerTopic.Arn
          Id: AccessAnalyzerSNS

  # SNS topic for alerts
  AccessAnalyzerTopic:
    Type: AWS::SNS::Topic
    Properties:
      TopicName: access-analyzer-findings
      DisplayName: IAM Access Analyzer Findings
      Subscription:
        - Endpoint: [e-mail]
          Protocol: email

  # Lambda for automated remediation
  AccessAnalyzerRemediationFunction:
    Type: AWS::Lambda::Function
    Properties:
      FunctionName: access-analyzer-remediation
      Runtime: python3.12
      Handler: index.lambda_handler
      Role: !GetAtt RemediationFunctionRole.Arn
      Code:
        ZipFile: |
          import boto3
          import json
          
          accessanalyzer = boto3.client('accessanalyzer')
          iam = boto3.client('iam')
          
          def lambda_handler(event, context):
              """
              Automated remediation for Access Analyzer findings
              """
              
              finding = event['detail']
              resource = finding['resource']
              finding_type = finding['resourceType']
              
              # Log finding
              print(f"Processing finding for {resource} of type {finding_type}")
              
              # Check if unused access (>90 days)
              if 'UnusedAccess' in finding.get('findingType', ''):
                  # Flag for manual review
                  add_tag_for_review(resource)
              
              # Check for external access
              if 'ExternalAccess' in finding.get('findingType', ''):
                  # Alert and require justification
                  send_alert(resource, finding)
              
              return {
                  'statusCode': 200,
                  'body': json.dumps('Finding processed')
              }
          
          def add_tag_for_review(resource):
              """Tag resource for quarterly review"""
              # Implementation specific to resource type
              pass
          
          def send_alert(resource, finding):
              """Send alert for external access"""
              # Implementation for alerting
              pass
      Timeout: 60
      Tags:
        - Key: ISMSControl
          Value: ISO27001-A.5.18

Segregation of Duties

See Segregation of Duties Policy for:

• Incompatible role pairs requiring separation
• Single-person organization compensating controls
• Temporal and tool-based separation mechanisms

Key Access Control Aspects Supporting SoD:

• Least Privilege: Default to minimum permissions required
• Time-Limited Elevation: Admin access with automatic expiration
• Audit Trail: All permission changes logged
• Quarterly Review: Access permissions reviewed against least privilege

ISO 27001 Control Mapping

A.5.15 - Access Control

Control Objective: Business requirements for controlling access to information and systems.

Implementation:

• ✅ RBAC model with role hierarchy
• ✅ Least privilege enforcement via @PreAuthorize
• ✅ Zero-trust architecture
• ✅ Access control matrix by classification level

A.8.2 - Privileged Access Rights

Control Objective: Allocation and use of privileged access rights restricted and controlled.

Implementation:

• ✅ Break-glass procedures for emergency access
• ✅ MFA required for privileged operations
• ✅ Time-limited privileged access
• ✅ Comprehensive audit logging

A.8.3 - Information Access Restriction

Control Objective: Access to information and systems restricted per access control policy.

Implementation:

• ✅ Data classification integrated with access controls
• ✅ Row-level security for sensitive data
• ✅ API access controls with OAuth/JWT
• ✅ Network segmentation (security groups)

A.5.18 - Access Rights Review

Control Objective: User access rights reviewed at regular intervals.

Implementation:

• ✅ Quarterly automated access reviews
• ✅ AWS IAM Access Analyzer for unused access detection
• ✅ GitHub audit log review
• ✅ Dormant account identification and revocation

NIST Cybersecurity Framework Mapping

PR.AC-1: Identities and credentials issued, managed, verified, revoked

• ✅ Centralized identity provider (AWS Identity Center, GitHub)
• ✅ MFA enforcement for privileged access

PR.AC-4: Access permissions managed, incorporating least privilege

• ✅ RBAC with role hierarchy
• ✅ @PreAuthorize annotations for method-level security

PR.AC-7: Users, devices authenticated (MFA for remote access)

• ✅ TOTP, FIDO2 hardware tokens
• ✅ Platform-native MFA (GitHub, AWS)

CIS Controls Mapping

CIS Control 5: Account Management

• 5.2: Use unique passwords - ✅ Spring Security password encoding
• 5.3: Disable dormant accounts - ✅ Quarterly review script
• 5.4: Restrict administrator privileges - ✅ Least privilege RBAC
• 5.5: Establish access restrictions - ✅ Classification-based controls

CIS Control 6: Access Control Management

• 6.1: Establish access granting process - ✅ RBAC role assignment
• 6.2: Establish access revoking process - ✅ Automated revocation
• 6.7: Centralize account management - ✅ AWS Identity Center
• 6.8: Define and maintain role-based access control - ✅ Spring Security RBAC

Practical Implementation Checklist

For New Systems

• Define roles and permissions using RBAC model
• Implement authentication with Spring Security
• Configure MFA for privileged accounts
• Set session timeouts based on data classification
• Add audit logging for all access events
• Integrate with AWS IAM Access Analyzer
• Document access control matrix
• Test least privilege enforcement

For Existing Systems

• Audit current access controls
• Identify over-privileged accounts
• Enforce MFA for admin accounts
• Implement quarterly access reviews
• Configure AWS IAM Access Analyzer
• Review and update RBAC roles
• Document segregation of duties compensating controls

Related Policies

• Access Control Policy - Detailed access control requirements
• Segregation of Duties Policy - SoD compensating controls
• Information Security Policy - Overall security framework
• Classification Framework - Data classification levels

References

• ISO 27001:2022 - A.5.15 Access Control
• ISO 27001:2022 - A.8.2 Privileged Access Rights
• ISO 27001:2022 - A.8.3 Information Access Restriction
• ISO 27001:2022 - A.5.18 Access Rights Review
• NIST SP 800-53r5 - AC (Access Control) Family
• CIS Controls v8 - Control 5: Account Management
• CIS Controls v8 - Control 6: Access Control Management