bkend-security

name	bkend-security
classification	C
description	bkend.ai security policies and encryption expert skill. Covers API key management (Public vs Secret), Row Level Security (RLS) with 4 roles (admin/user/guest/self), data encryption (Argon2id, AES-256-GCM, TLS 1.2+), and security best practices. Triggers: security, RLS, api key, encryption, RBAC, permissions, 보안, API 키, 암호화, 권한, 역할, 접근제어, セキュリティ, APIキー, 暗号化, 権限, ロール, 安全, API密钥, 加密, 权限, 角色, seguridad, clave API, cifrado, permisos, roles, securite, cle API, chiffrement, permissions, roles, Sicherheit, API-Schluessel, Verschluesselung, Berechtigungen, sicurezza, chiave API, crittografia, permessi, ruoli Do NOT use for: authentication flows (use bkend-auth), database operations (use bkend-data), infrastructure security (use security-architect agent)
user-invocable	true
argument-hint
allowed-tools	["read_file","write_file","replace","glob","grep_search","run_shell_command","web_fetch"]
imports	[]
agents	{"backend":"bkend-expert"}
context	session
memory	project
pdca-phase	all

bkend-security: Security Policies & Encryption Expert Skill

1. Multi-Layer Security Model

bkend.ai implements a defense-in-depth security architecture with multiple layers of protection. Each layer operates independently so that a breach in one layer does not compromise the entire system.

Request Flow:

  Client Request
       |
       v
  [ TLS 1.2+ ]              Layer 1: Transport encryption
       |
       v
  [ API Key Validation ]     Layer 2: Identify client type (Public/Secret)
       |
       v
  [ JWT Authentication ]     Layer 3: Verify user identity and session
       |
       v
  [ Row Level Security ]     Layer 4: Enforce data access policies per role
       |
       v
  [ AES-256-GCM ]           Layer 5: Data encrypted at rest
       |
       v
  [ Database ]               Secured data store

Layer Summary

Layer	Technology	Purpose	Applied At
1	TLS 1.2+	Encrypt data in transit	Network edge
2	API Keys	Identify and authorize client apps	API gateway
3	JWT	Authenticate individual users	Auth middleware
4	RLS	Enforce row-level data access	Query engine
5	AES-256-GCM	Encrypt data at rest	Storage layer

---

2. API Keys

2.1 Key Format

All bkend.ai API keys follow a consistent format:

ak_<64 hexadecimal characters>

• Prefix: ak_ identifies the string as a bkend.ai API key
• Body: 64 hex characters (256 bits of entropy)
• Total length: 67 characters

2.2 Key Storage

API keys are stored as SHA-256 one-way hashes. The original key value is never stored on bkend.ai servers.

Original key:  ak_a1b2c3d4e5f6...   (shown once at creation)
Stored hash:   sha256(ak_a1b2...)  = 9f86d081884c7d659a2feaa...

Implications:

• Lost keys cannot be recovered; a new key must be generated
• Key validation compares the SHA-256 hash of the submitted key against the stored hash
• Even if the database is compromised, original keys cannot be derived from the hashes

2.3 Key Types: Public vs Secret

bkend.ai provides two types of API keys with different security properties.

Property	Public Key	Secret Key
Exposure	Safe to expose in client-side code	Must never be exposed to clients
RLS Enforcement	Always enforced	Bypasses RLS (full access)
Use Case	Web apps, mobile apps, SPAs	Server-side code, admin scripts, CI/CD
Permissions	Limited by RLS role of the user	Full read/write access to all data
Rate Limit	100 requests/minute	1000 requests/minute
CORS	Restricted to allowed domains	Not subject to CORS

2.4 Key Creation

API keys can only be created through the bkend.ai Console:

1. Navigate to Project Settings > API Keys
2. Click Create New Key
3. Select key type: Public or Secret
4. Optionally set an expiration date
5. Click Generate
6. Copy the key immediately -- it is displayed only once

Warning: After closing the creation dialog, the key value can never be retrieved again. Store it securely in your environment variables or secret manager.

2.5 Key Usage in Requests

Include the API key in the X-API-Key header:

GET /api/v1/tables/users/data
Host: api.bkend.ai
X-API-Key: ak_a1b2c3d4e5f6...
Authorization: Bearer <jwt_token>

• Public Key requests must also include a valid JWT token (from user authentication)
• Secret Key requests can optionally include a JWT token; without one, the request runs with full admin access

---

3. Row Level Security (RLS)

3.1 Overview

Row Level Security (RLS) controls which records a user can access based on their role. RLS policies are defined per table, per operation (read, create, update, delete) in the bkend.ai Console.

3.2 Four Roles

Role	Description	Data Access	Typical Use
admin	Full access to all data	All records, all operations	Admin dashboards, CMS
user	Access to own data via createdBy match	Records where createdBy == userId	User profiles, user content
guest	Access to public data only	Records where isPublic == true	Public pages, catalogs
self	Access to own profile record only	Single record where _id == userId	Profile viewing/editing

3.3 Role Resolution

The user's role is determined from the JWT token at request time:

JWT Payload:
{
  "sub": "user_abc123",
  "role": "user",
  "orgId": "org_xyz",
  "iat": 1700000000,
  "exp": 1700003600
}

• The role field in the JWT determines which RLS policies are applied
• If no JWT is provided (Secret Key only), the request operates as admin
• Roles are assigned during user registration or by an admin via the Console

3.4 RLS Policy Configuration

RLS policies are configured per table in the bkend.ai Console:

1. Navigate to Tables > select a table > Security tab
2. For each operation (Read, Create, Update, Delete), configure access per role:

Example: posts Table

Operation	admin	user	guest	self
Read	All	Own + public	Public only	N/A
Create	All	Own only	Denied	N/A
Update	All	Own only (createdBy)	Denied	N/A
Delete	All	Own only (createdBy)	Denied	N/A

Example: profiles Table

Operation	admin	user	guest	self
Read	All	All	Public only	Own only
Create	All	Denied	Denied	Own only
Update	All	Denied	Denied	Own only
Delete	All	Denied	Denied	Denied

3.5 RLS Filter Injection

When RLS is active, the system automatically injects filter conditions into database queries:

User request:       GET /api/v1/tables/posts/data
User role:          user
User ID:            user_abc123

Injected filter:    { "createdBy": "user_abc123" }
Effective query:    db.posts.find({ ...userFilter, "createdBy": "user_abc123" })

This injection is transparent to the client and cannot be overridden.

3.6 RLS with Secret Key

When a request uses a Secret Key without a JWT token:

• RLS is completely bypassed
• The request has full admin-level access to all data
• This is by design for server-side administration scripts

Important: Never use a Secret Key in client-side code. Use Public Key + JWT for all client-facing applications.

---

4. Data Encryption

4.1 At Rest

Component	Encryption Method	Key Management
MongoDB Atlas	AES-256 encryption	AWS KMS managed keys
S3 Storage	Server-side encryption	AWS SSE-S3 managed keys
Backups	AES-256 encryption	Separate backup encryption keys

All data stored in bkend.ai infrastructure is encrypted at rest using AES-256. Encryption keys are managed through AWS Key Management Service (KMS) and are rotated automatically.

4.2 In Transit

Property	Value
Minimum TLS Version	TLS 1.2
Preferred TLS Version	TLS 1.3
HSTS	Enabled (max-age=31536000)
Certificate Authority	Let's Encrypt / AWS ACM
Cipher Suites	Modern suites only (no RC4, 3DES, SHA-1)

All API communication is encrypted with TLS 1.2 or higher. HTTP requests are automatically redirected to HTTPS. HSTS headers ensure browsers always use HTTPS.

4.3 Password Hashing

User passwords are hashed using Argon2id, the winner of the Password Hashing Competition and recommended by OWASP.

Parameter	Value	Rationale
Algorithm	Argon2id	Hybrid resistance to side-channel and GPU attacks
Memory Cost	64 MiB	High memory usage deters GPU cracking
Iterations	3	Balanced computation time
Parallelism	4 threads	Utilizes multi-core CPUs
Salt Length	16 bytes	Unique per password
Hash Length	32 bytes	256-bit output

Why Argon2id:

• Memory-hard: requires significant RAM, making GPU/ASIC attacks expensive
• Hybrid variant: combines Argon2i (side-channel resistance) and Argon2d (GPU resistance)
• Configurable parameters allow tuning for the target hardware

4.4 API Key Hashing

API keys are hashed using SHA-256 one-way hash:

Input:  ak_a1b2c3d4e5f6...  (67 characters)
Output: 9f86d081884c7d659a2feaa0c55ad015a3bf4f1b2b0b822cd15d6c15b0f00a08

• One-way: the original key cannot be derived from the hash
• Deterministic: the same key always produces the same hash (for validation)
• Fast: efficient for per-request validation

---

5. Environment Security

5.1 Separate Keys per Environment

Each environment (dev, staging, prod) has its own set of API keys:

Project: my-app
├── dev
│   ├── Public Key:  ak_dev_...
│   └── Secret Key:  ak_dev_secret_...
├── staging
│   ├── Public Key:  ak_staging_...
│   └── Secret Key:  ak_staging_secret_...
└── prod
    ├── Public Key:  ak_prod_...
    └── Secret Key:  ak_prod_secret_...

Keys from one environment cannot access data in another environment. This prevents accidental data leaks between environments.

5.2 Environment Variable Management

Store API keys and sensitive configuration in environment variables, never in source code:

# .env.development
BKEND_API_URL=https://api-client.bkend.ai
BKEND_PUBLIC_KEY=ak_dev_...
BKEND_SECRET_KEY=ak_dev_secret_...

# .env.production
BKEND_API_URL=https://api-client.bkend.ai
BKEND_PUBLIC_KEY=ak_prod_...
BKEND_SECRET_KEY=ak_prod_secret_...

Rules:

• Add .env* to .gitignore to prevent committing secrets (Note: In Gemini CLI v0.36.0+, .gitignore is write-protected by sandbox governance. Add entries manually.)
• Use a secret manager (AWS Secrets Manager, Vault, etc.) for production deployments
• Never log environment variables containing keys or tokens

5.3 Domain Allowlist for CORS

Configure allowed domains per environment to prevent unauthorized cross-origin requests: