# Security Architecture > Comprehensive security architecture for GoodGo platform with zero-trust model, RBAC, and compliance ## Overview Diagram ```mermaid graph TD Request[Client Request] --> TLS[TLS/HTTPS Layer] TLS --> RateLimit[Rate Limiting] RateLimit --> JWT[JWT Validation] JWT --> RBAC[RBAC Authorization] RBAC --> ZeroTrust[Zero-Trust Checks] ZeroTrust --> Service[Service Logic] Service --> Encrypt[Data Encryption
AES-256-GCM] Encrypt --> DB[(Encrypted Data)] Service --> Audit[Audit Logging] Audit --> AuditDB[(Audit Trail
7-year retention)] style TLS fill:#d4edda style JWT fill:#e1f5ff style Encrypt fill:#f8d7da style Audit fill:#fff4e1 ``` ## Architecture Description The GoodGo Security Architecture implements defense-in-depth with multiple security layers: **Security Principles**: 1. **Zero Trust**: Never trust, always verify 2. **Least Privilege**: Minimum required permissions 3. **Defense in Depth**: Multiple security layers 4. **Audit Everything**: Complete audit trail 5. **Encryption**: Data encrypted at rest and in transit **Key Components**: - JWT Authentication (15min access, 7d refresh) - RBAC + ABAC Authorization - Zero-Trust Device Validation - AES-256-GCM Encryption - Event Sourcing for Audit Trail - Compliance (GDPR, SOC2, ISO27001, HIPAA) ## Authentication Flow ```mermaid sequenceDiagram participant Client participant API as API Gateway participant IAM as IAM Service participant DB as Database participant Cache as Redis Client->>API: Login Request
(email + password) API->>IAM: Forward Request IAM->>DB: Verify Credentials DB-->>IAM: User + Hash IAM->>IAM: bcrypt.compare()
(cost 12) alt Valid Credentials IAM->>IAM: Generate Tokens
(Access + Refresh) IAM->>DB: Store Refresh Token
(hashed SHA-256) IAM->>Cache: Cache Permissions
(5min TTL) IAM-->>API: Tokens + User API-->>Client: Set httpOnly Cookies else Invalid IAM-->>Client: 401 Unauthorized end ``` **Authentication Details**: **1. Password Hashing**: - Algorithm: bcrypt with cost factor 12 - Never store plaintext passwords - Minimum password: 8 chars with complexity rules **2. JWT Tokens**: - Access Token: 15 minutes expiry - Refresh Token: 7 days expiry - Algorithm: RS256 (asymmetric signing) - Payload: userId, roles, permissions **3. Token Storage**: - Access: httpOnly cookie (secure, sameSite) - Refresh: Database SHA-256 hash - Rotation: New refresh token on each use **4. MFA Support**: - TOTP (Time-based One-Time Password) - Backup codes (10 single-use) - Recovery email verification ## Authorization Model ```mermaid graph TD User[User] --> Roles[Roles] User --> DirectPerms[Direct Permissions] Roles --> RolePerms[Role Permissions] RolePerms --> Check{Permission Check} DirectPerms --> Check Check -->|Granted| Resource[Access Resource] Check -->|Denied| Reject[403 Forbidden] subgraph "Permission Model" Perm[Permission
resource:action:scope] end style Check fill:#e1f5ff style Perm fill:#fff4e1 ``` **RBAC (Role-Based Access Control)**: **1. Role Hierarchy**: ``` SuperAdmin > OrgAdmin > Manager > User > Guest ``` **2. Permission Format**: `resource:action:scope` - Resource: `users`, `roles`, `permissions` - Action: `create`, `read`, `update`, `delete` - Scope: `own`, `org`, `global` **Examples**: - `users:read:own` - Read own user profile - `users:update:org` - Update users in organization - `roles:create:global` - Create roles globally **3. Permission Caching**: ```typescript // Cache key: user:{userId}:permissions // TTL: 5 minutes // Invalidate on: role change, permission change ``` ## Zero-Trust Architecture ```mermaid graph TD Request[Request] --> Device[Device Fingerprint] Device --> IP[IP Address Validation] IP --> Behavior[Behavioral Analysis] Behavior --> Session[Session Binding] Session -->|Valid| Allow[Allow Request] Session -->|Suspicious| MFA[Require MFA] Session -->|Anomaly| Block[Block + Alert] style Block fill:#f8d7da style MFA fill:#fff3cd style Allow fill:#d4edda ``` **Zero-Trust Components**: **1. Device Fingerprinting**: - Browser: User-Agent, Canvas, WebGL - Screen resolution, timezone, language - Plugin detection, fonts available - Hash fingerprint → Store with session **2. IP Address Validation**: - Whitelist known IPs per user - Alert on new IP + require MFA - Block suspicious IPs (VPN, Tor) **3. Behavioral Analysis**: - Login patterns (time, location) - API usage patterns - Failed auth attempts - Alert on anomalies **4. Session Binding**: - Bind session to device fingerprint - Bind session to IP address - Invalidate on mismatch ## Data Protection **Encryption Strategy**: **1. Data at Rest**: - PII: AES-256-GCM encryption - Passwords: bcrypt (cost 12) - Tokens: SHA-256 hash - Keys: Environment variables + K8s secrets **2. Data in Transit**: - TLS 1.2+ for all communications - HTTPS enforcement - Certificate pinning (mobile clients) **3. Key Management**: - Unique key per encryption operation - 32+ character ENCRYPTION_KEY - Rotate keys quarterly - Never hardcode secrets ## Compliance & Audit **Compliance Requirements**: **1. GDPR**: - Right to erasure (soft delete + hard delete after 90 days) - Data portability (export user data) - Consent management - Breach notification (72 hours) **2. SOC2**: - Access controls (RBAC) - Encryption at rest and in transit - Audit logging (7-year retention) - Incident response plan ```typescript // Event sourcing for all auth events { eventType: 'auth.login.success', userId: 'user_123', timestamp: '2024-01-15T10:30:00Z', ipAddress: '192.168.1.1', deviceFingerprint: 'fp_xyz', metadata: {...} } ``` ## System Context ```mermaid C4Context title Security Architecture Context Person(user, "User", "End user accessing platform") Person(admin, "Admin", "System administrator") Person(attacker, "Attacker", "Potential threat actor") System(iam, "IAM Service", "Authentication & Authorization") System_Ext(db, "Neon PostgreSQL", "Encrypted user credentials & sessions") System_Ext(cache, "Redis", "Permission & session cache") System_Ext(audit, "Audit Service", "Security event logging") System_Ext(mfa, "MFA Provider", "TOTP verification") System_Ext(monitoring, "Security Monitoring", "SIEM & alerting") Rel(user, iam, "Authenticates", "HTTPS + TLS 1.2+") Rel(admin, iam, "Manages permissions", "HTTPS + TLS 1.2+") Rel(attacker, iam, "Blocked by security layers", "") Rel(iam, db, "Stores credentials", "PostgreSQL + TLS") Rel(iam, cache, "Caches permissions", "Redis + TLS") Rel(iam, audit, "Logs security events", "Kafka") Rel(iam, mfa, "Verifies MFA", "HTTPS") Rel(iam, monitoring, "Sends security metrics", "Prometheus + Loki") ``` **Context Description**: - **IAM Service**: Central authentication and authorization - **Database**: Stores encrypted credentials, sessions, permissions - **Cache**: Caches permissions and sessions to reduce database load - **Audit Service**: Receives and stores all security events - **MFA Provider**: External TOTP verification service (Google Authenticator compatible) - **Security Monitoring**: SIEM (Security Information and Event Management) and alerting ## Database Architecture ```mermaid erDiagram User ||--o{ Session : has User ||--o{ UserRole : has User ||--o{ UserPermission : has User ||--o{ MFADevice : has User ||--o{ LoginHistory : has User ||--o{ DeviceFingerprint : has Role ||--o{ UserRole : assigned_to Role ||--o{ RolePermission : has Permission ||--o{ RolePermission : granted_to Permission ||--o{ UserPermission : granted_to Organization ||--o{ User : contains Organization ||--o{ Role : defines User { string id PK "CUID" string email UK "Unique, indexed" string passwordHash "bcrypt cost 12" string organizationId FK boolean mfaEnabled "MFA required?" datetime lastLoginAt "Tracking" datetime createdAt "Timestamp" datetime updatedAt "Timestamp" datetime deletedAt "Soft delete" } Session { string id PK "CUID" string userId FK string refreshTokenHash "SHA-256" string deviceFingerprint "Hashed" string ipAddress "IPv4/IPv6" string userAgent "Browser info" datetime expiresAt "7 days TTL" datetime lastActivityAt "Tracking" datetime createdAt "Timestamp" } Role { string id PK "CUID" string name "role-name" string organizationId FK int hierarchy "Priority level" boolean isSystem "Built-in?" datetime createdAt "Timestamp" } Permission { string id PK "CUID" string resource "users, roles, etc" string action "create, read, update, delete" string scope "own, org, global" datetime createdAt "Timestamp" } MFADevice { string id PK "CUID" string userId FK string type "totp, backup" string secret "Encrypted TOTP secret" boolean verified "Verified?" datetime lastUsedAt "Tracking" datetime createdAt "Timestamp" } LoginHistory { string id PK "CUID" string userId FK boolean success "Success/Failure" string ipAddress "IPv4/IPv6" string deviceFingerprint "Hashed" string failureReason "If failed" datetime timestamp "Event time" } DeviceFingerprint { string id PK "CUID" string userId FK string fingerprint "Hashed" boolean trusted "Auto-approved?" datetime firstSeenAt "First use" datetime lastSeenAt "Last use" } ``` **Description**: - **User**: Stores hashed credentials, MFA settings, organization membership - **Session**: Stores hashed refresh tokens, device fingerprint, IP tracking - **Role & Permission**: RBAC hierarchy with system roles and custom roles - **MFADevice**: TOTP secrets (encrypted), backup codes - **LoginHistory**: Audit trail for all login attempts (success/failure) - **DeviceFingerprint**: Trusted device tracking for zero-trust model **Database Security**: - Password hashes: bcrypt with cost factor 12 - Token hashes: SHA-256 - MFA secrets: AES-256-GCM encryption - Soft deletes: `deletedAt` field, hard delete after 90 days (GDPR) - Indexes: email (unique), userId (foreign keys), timestamps ## Design Decisions ### Decision 1: JWT with RS256 (Asymmetric) **Context**: Need stateless authentication with ability to verify tokens in multiple services **Decision**: Use JWT with RS256 (RSA asymmetric signing) instead of HS256 (HMAC symmetric) **Consequences**: - ✅ **Positive**: - Services can verify tokens with public key, don't need secret - Easier key rotation (only distribute new public key) - Higher security (private key only in IAM service) - Compliance: Clear audit trail of who signs tokens - ❌ **Negative**: - Slightly slower than HS256 (~10-20% slower) - More complex key management - Public/private key pair must be carefully protected **Alternatives**: HS256 (symmetric), EdDSA, OAuth 2.0 with Opaque Tokens ### Decision 2: Zero-Trust Model with Device Fingerprinting **Context**: Need to protect against credential theft, session hijacking, and unauthorized access **Decision**: Implement zero-trust model with device fingerprinting, IP validation, behavioral analysis **Consequences**: - ✅ **Positive**: - Detect anomalies (new device, new IP, unusual behavior) - Increased security by detecting and blocking suspicious activities - Compliance: SOC2, ISO27001 requirements - User experience: Auto-approve trusted devices - ❌ **Negative**: - Higher complexity - Potential false positives (legitimate users blocked) - Performance overhead (fingerprint hash, IP check) - Privacy concerns (tracking devices, IPs) **Alternatives**: Basic authentication only, IP whitelist only, MFA required for all ### Decision 3: Event Sourcing for Audit Trail **Context**: Need immutable audit trail for compliance (GDPR, SOC2, HIPAA) and security forensics **Decision**: Use event sourcing pattern to store all auth/security events **Consequences**: - ✅ **Positive**: - Immutable audit trail (cannot modify/delete) - Complete history of all security events - Compliance: GDPR (7-year retention), SOC2, HIPAA - Security forensics: Trace back attacks, breaches - Replay events to reconstruct state - ❌ **Negative**: - High storage cost (retain 7 years) - Complexity in event schema versioning - Performance: Event publishing overhead - Data privacy: Must anonymize PII after retention period **Alternatives**: Database audit logs only, External SIEM only, No audit trail ## Performance Characteristics | Metric | Target | Notes | |--------|--------|-------| | **Login Time (P95)** | < 500ms | Including bcrypt verification | | **Login Time (P99)** | < 1s | Peak load | | **Token Generation (P95)** | < 50ms | JWT sign with RS256 | | **Token Verification (P95)** | < 10ms | JWT verify with public key | | **Permission Check (P95)** | < 5ms | From cache (L1 or L2) | | **Permission Check (Cache Miss)** | < 50ms | Database query | | **MFA Verification (P95)** | < 100ms | TOTP validation | | **Session Lookup (P95)** | < 10ms | Redis cache | | **Password Hash (P95)** | < 200ms | bcrypt cost 12 | | **Device Fingerprint Hash** | < 5ms | SHA-256 | | **Failed Login Rate Limit** | 5 attempts / 15min | Per user | | **Auth Throughput** | 500 req/s | Per IAM instance | **Performance Optimizations**: - **Permission Caching**: L1 (memory) + L2 (Redis), TTL 5 minutes - **Token Caching**: Cache public key in memory for JWT verification - **Connection Pooling**: Reuse database connections - **Async Operations**: Event publishing, audit logging (fire-and-forget) - **Rate Limiting**: Prevent brute force attacks, reduce load - **Horizontal Scaling**: Multiple IAM service instances ## Deployment ```mermaid graph TD subgraph "Security Layer" LB[Load Balancer
TLS Termination] WAF[WAF / Firewall
Rate Limiting
DDoS Protection] end subgraph "IAM Service Layer" IAM1[IAM Service Pod 1
Stateless] IAM2[IAM Service Pod 2
Stateless] IAM3[IAM Service Pod 3
Stateless] end subgraph "Data Layer" DB[(Neon PostgreSQL
Encrypted at Rest)] Cache[(Redis Cluster
TLS Enabled)] Vault[Secrets Manager
K8s Secrets] end subgraph "Security Monitoring" SIEM[SIEM / Security Monitoring] Alerts[Alerting System] end Client[Clients] --> LB LB --> WAF WAF --> IAM1 WAF --> IAM2 WAF --> IAM3 IAM1 --> DB IAM1 --> Cache IAM1 --> Vault IAM2 --> DB IAM2 --> Cache IAM2 --> Vault IAM3 --> DB IAM3 --> Cache IAM3 --> Vault IAM1 -.->|Security Events| SIEM IAM2 -.->|Security Events| SIEM IAM3 -.->|Security Events| SIEM SIEM -.->|Alerts| Alerts style LB fill:#d4edda style WAF fill:#fff3cd style DB fill:#f0e1ff style Cache fill:#fff4e1 style Vault fill:#f8d7da style SIEM fill:#e1f5ff ``` **Deployment Strategy**: **Security Deployment**: - **TLS 1.2+ Enforcement**: All connections require TLS - **Network Policies (K8s)**: Deny all by default, whitelist specific services - **Pod Security Policies**: Non-root user, read-only filesystem, no privilege escalation - **Secrets Management**: Kubernetes secrets with encryption at rest - **Image Scanning**: Trivy/Clair scan before deployment - **RBAC (K8s)**: Least privilege for service accounts **Resource Allocation**: | Component | CPU | Memory | Replicas | |-----------|-----|--------|----------| | **IAM Service** | 500m | 1GB | 3-10 (HPA) | | **Redis** | 1 core | 2GB | 3 masters + 3 slaves | **Security Configuration**: ```yaml # K8s Network Policy apiVersion: networking.k8s.io/v1 kind: NetworkPolicy metadata: name: iam-service-policy spec: podSelector: matchLabels: app: iam-service policyTypes: - Ingress - Egress ingress: - from: - podSelector: matchLabels: app: api-gateway ports: - protocol: TCP port: 5000 egress: - to: - podSelector: matchLabels: app: postgresql ports: - protocol: TCP port: 5432 ```