- Natural Language Queries
- Anomaly Detection
- Smart Rate Limiting
- Security Audit Automation
- Test Case Generation
- Natural Language Audit Logs
- Setup Wizard
- Smart Documentation
- Predictive Analytics
- Auto-Remediation
Convert plain English questions into database queries.
graph LR
A[User Question] --> B[NLP Parser]
B --> C[Intent Understanding]
C --> D[Query Builder]
D --> E[Database]
E --> F[Results]
Supported Query Types
Type Example Response Count "How many users in Lagos?" "1,247 users" List "Show me Google OAuth users" "john@gmail.com, amara@gmail.com" Aggregate "Average logins per day" "234 logins/day" Trend "User growth last month" "+342 users (15% growth)" Compare "MFA adoption by region" "Lagos: 47%, Nairobi: 52%" Anomaly "Any suspicious logins?" "12 suspicious attempts"
Privacy Controls
privacy_levels:
public:
- aggregates only
- no PII
- example: "total users by city"
internal:
- redacted PII
- example: "j***@example.com"
admin:
- full access
- requires special permissions
- example: full user details- Anomaly Detection
What it does
AI learns normal user behavior and detects suspicious patterns.
Detection Models
Anomaly Type Detection Method Action New location GeoIP analysis Trigger MFA Unusual time Time-based patterns Email alert Rapid attempts Velocity check Rate limit New device Fingerprinting Verify device Impossible travel Distance calculation Block + alert
Example
$ csax ai detect --user usr_123
🤖 Analyzing user behavior...
📊 Normal pattern:
- Login time: 9 AM - 5 PM (work hours)
- Location: Lagos, Nigeria
- Device: iPhone 15
- Frequency: 3-5 logins/day
🚨 ANOMALY DETECTED:
- Login time: 3:17 AM
- Location: London, UK
- Device: Windows PC
- 12 attempts in 2 minutes
🔧 Actions taken:
- Blocked login
- Sent email alert
- Required MFA for next login- Smart Rate Limiting
What it does
Adaptive rate limiting based on user behavior, not static rules.
Comparison
Traditional Smart AI 5 attempts/minute for everyone Trusted user: 10/min Same limit day and night Suspicious: 2/min One size fits all New account: 3/min Easy to bypass API: 100/min After MFA: increased limit
Configuration
smart_rate_limiting:
enabled: true
learning_period: 7d
profiles:
trusted:
limit: 10
window: 1m
normal:
limit: 5
window: 1m
suspicious:
limit: 2
window: 1m
new_account:
limit: 3
window: 1m
api:
limit: 100
window: 1m- Security Audit Automation
What it does
Automatically scan auth configuration for security issues.
Audit Categories
Category Checks Auto-fix
Authentication Password policy, MFA, session timeout ✅ Yes
JWT Secret strength, expiry, algorithm ✅ Yes
Rate Limiting Enabled, thresholds, IP tracking ✅ Yes
Database Connection security, encryption
Example Report
$ csax ai audit --verbose
🔴 CRITICAL (2 issues):
1. JWT secret is default value [auto-fix: yes]
2. Rate limiting disabled [auto-fix: yes]
🟡 WARNING (3 issues):
1. Password policy too weak [auto-fix: yes]
2. Session timeout too long (30 days) [auto-fix: yes]
3. No email verification [auto-fix: no]
🟢 INFO (2 issues):
1. HTTPS not configured [auto-fix: no]
2. Audit logs not exported [auto-fix: no]
📊 Security Score: 65/100 (needs improvement)
🔧 Apply fixes? [Y/n]: Y
✅ Fixed: Generated new JWT secret
✅ Fixed: Enabled rate limiting (5/min)
✅ Fixed: Updated password policy
✅ Fixed: Reduced session timeout to 7 days
🛡️ New Security Score: 85/100- Test Case Generation
What it does
Automatically generate comprehensive test cases for auth endpoints.
Generated Tests
Test Category Number of Tests Coverage Signup 15 Email validation, password strength, duplicate Login 12 Success, failure, rate limit, lockout Token 8 Expiry, refresh, revocation Session 6 Create, list, revoke, logout Rate Limit 6 Burst, sliding window, IP tracking
Example Generated Test
// AI-generated test
func TestLoginRateLimiting(t *testing.T) {
// Test case 1: 5 attempts within 1 minute
for i := 0; i < 5; i++ {
_, err := client.Login("test@example.com", "wrong")
assert.Error(t, err)
}
// Test case 2: 6th attempt blocked
_, err := client.Login("test@example.com", "wrong")
assert.Equal(t, ErrRateLimited, err)
// Test case 3: Wait for reset
time.Sleep(61 * time.Second)
_, err = client.Login("test@example.com", "correct")
assert.NoError(t, err)
}- Natural Language Audit Logs
What it does
Query audit logs using plain English.
Query Examples
$ csax ai logs "show me failed logins from Nigeria last week"
📊 234 failed logins from Nigeria (Dec 1-7, 2025)
Top IPs:
102.89.2.1: 45 attempts (blocked)
197.210.55.3: 23 attempts (warning)
154.113.12.89: 12 attempts (allowed)
$ csax ai logs "users who changed password recently"
📋 89 users changed password in last 30 days:
- usr_123: 2025-12-01 (password expired)
- usr_456: 2025-12-05 (security update)
- usr_789: 2025-12-10 (forgot password)
$ csax ai logs "suspicious activity patterns"
🤖 AI Analysis:
Pattern 1: Credential stuffing
- 12:00-12:05: 45 attempts from 3 IPs
- Affected: 12 user accounts
- Action: Blocked IPs
Pattern 2: Unusual time access
- 2 AM - 4 AM: 3x normal traffic
- Mostly read operations
- Action: No action (legitimate night workers)
Pattern 3: Geographic anomaly
- User usr_123: Nigeria → China in 2 hours
- Action: Blocked, MFA required- Setup Wizard
What it does
Interactive CLI wizard to configure CrydenSync.
Wizard Flow
$ csax ai setup
🤖 Cryden AI Setup Assistant v1.0
Step 1/6: Database
? Select database type:
▸ SQLite (local file)
PostgreSQL
MongoDB
MySQL
Step 2/6: Authentication
? Require email verification? Yes
? Enable social login? Yes
? Social providers: Google, GitHub
Step 3/6: Security
? Password policy: Strong (8+ chars, upper, lower, number, special)
? Session timeout: 7 days
? MFA required for admins? Yes
Step 4/6: Rate Limiting
? Max attempts per minute: 5
? Lockout duration: 15 minutes
Step 5/6: Notifications
? SMTP server: smtp.gmail.com
? From email: auth@example.com
Step 6/6: Review
📋 Configuration Summary:
- Database: PostgreSQL
- Email verification: Yes
- MFA: Yes (admins)
- Rate limit: 5/min
✅ Configuration saved to: .env, config/auth.yaml
✅ Database migrations created
✅ Docker Compose file generated
🚀 Next steps:
1. Review generated files
2. Run: docker-compose up -d
3. Visit: http://localhost:3000- Smart Documentation
What it does
Auto-generate and update documentation from code.
Generated Docs
# API Documentation (Auto-generated)
## POST /auth/login
**Description:** Authenticate user and return tokens
**Request:**
```json
{
"email": "user@example.com",
"password": "SecurePass123"
}Response (200):
{
"access_token": "eyJhbGciOiJIUzI1NiIs...",
"refresh_token": "ref_abc123",
"expires_in": 900
}Response (401):
{
"error": "Invalid credentials"
}Response (429):
{
"error": "Too many attempts",
"retry_after": 45
}Examples:
curl:
curl -X POST https://api.crydensync.com/auth/login \
-H "Content-Type: application/json" \
-d '{"email":"user@example.com","password":"SecurePass123"}'Go:
tokens, err := client.Login(ctx, "user@example.com", "SecurePass123")JavaScript:
const tokens = await cryden.auth.login("user@example.com", "SecurePass123");Last updated: 2025-01-15 14:32:21 (auto-generated)
---
## 9. Predictive Analytics
### What it does
Predict future user behavior and security risks.
### Predictions
| Prediction | Method | Accuracy |
|------------|--------|----------|
| **User churn** | Activity patterns | 85% |
| **Security risk** | Behavior anomalies | 90% |
| **Traffic spikes** | Historical patterns | 80% |
| **Resource usage** | Growth trends | 75% |
### Example
```bash
$ csax ai predict
📈 Predictions for next 30 days:
User Growth: +342 new users (15% increase)
Active Users: 2,345 (peak on weekends)
Login Volume: 45,000/day (20% increase)
🚨 Risk Alerts:
- 23 users likely to churn (inactive 14+ days)
- 12 high-risk users (suspicious patterns)
- Peak traffic expected: Dec 25-31 (200% increase)
🔧 Recommendations:
- Send re-engagement emails to 23 users
- Review 12 high-risk accounts
- Scale infrastructure for Dec 25-31
- Auto-Remediation
What it does
Automatically fix common security issues.
Auto-Fixable Issues
Issue Detection Auto-Fix Default JWT secret ✅ Generate secure secret Rate limiting disabled ✅ Enable with defaults Weak password policy ✅ Update to secure policy Long session timeout ✅ Reduce to 7 days Missing audit logs ✅ Enable logging Exposed PII in logs ✅ Redact automatically
Example
$ csax ai remediate --auto
🤖 Scanning for issues...
🔴 CRITICAL: Default JWT secret found
✅ Auto-fixed: Generated new secure secret
🔴 CRITICAL: Rate limiting disabled
✅ Auto-fixed: Enabled (5 attempts/minute)
🟡 WARNING: Weak password policy
✅ Auto-fixed: Updated to strong policy
🟡 WARNING: Session timeout too long
✅ Auto-fixed: Reduced to 7 days
📊 Fixed 4 issues automatically
📋 2 issues require manual review:
- HTTPS not configured
- Database encryption disabled
🛡️ Security score improved: 45 → 85🎯 Feature Priority Matrix
Feature Value Complexity Priority Timeline Natural Language Queries 🔴 High 🟡 Medium 1 4 weeks Security Audit 🔴 High 🟡 Medium 2 3 weeks Setup Wizard 🔴 High 🟢 Low 3 2 weeks Test Generation 🟡 Medium 🟡 Medium 4 3 weeks Smart Rate Limiting 🔴 High 🔴 High 5 4 weeks Anomaly Detection 🟡 Medium 🔴 High 6 5 weeks Auto-Remediation 🟡 Medium 🟡 Medium 7 3 weeks Natural Language Logs 🟢 Low 🔴 High 8 4 weeks Predictive Analytics 🟢 Low 🔴 High 9 6 weeks Smart Documentation 🟢 Low 🟢 Low 10 2 weeks
🚀 Getting Started with AI Features
# Install AI module
go get github.com/crydensync/ai
# Enable AI features
cryden.WithAI(ai.Config{
Enabled: true,
LocalModel: true, // Privacy-first
})
# Use CLI
csax ai query "show me active users"
csax ai audit
csax ai test📊 Success Metrics
Metric Target Current Query accuracy 95% - Response time < 2s - Security issues caught 90% - Time saved (devs) 10 hours/week - User adoption 50% -