API Keys

Comprehensive API key management for secure authentication, authorization, and integration with SOLVEFORCE services, providing granular access control and enterprise-grade security for all API interactions.


🎯 API Key Overview

SOLVEFORCE API keys provide secure, programmatic access to telecommunications and IT services through RESTful APIs, enabling automation, integration, and custom application development with robust security and comprehensive access control.

🌟 API Key Management Features

Secure Key Generation:

  • Cryptographically secure random key generation
  • Configurable key length and complexity requirements
  • Automatic key rotation and lifecycle management
  • Hierarchical key structures for organizational control
  • Integration with enterprise secret management systems

Granular Access Control:

  • Role-based permissions and scope limitations
  • Service-specific access restrictions
  • Rate limiting and quota management
  • IP address and domain whitelisting
  • Time-based access controls and expiration

Enterprise Security Features:

  • Audit logging and access tracking
  • Key compromise detection and automatic revocation
  • Multi-factor authentication for key management
  • Encryption at rest and in transit
  • Compliance with industry security standards

πŸ”‘ API Key Types and Scopes

🏒 API Key Classifications

Master API Keys:

  • Full Account Access: Complete administrative control over all services
  • Multi-Service Support: Access to voice, data, cloud, and billing APIs
  • User Management: Create, modify, and delete user accounts and permissions
  • Billing Operations: Invoice management, payment processing, account administration
  • Security Controls: Security policy management and audit log access

Service-Specific API Keys:

  • Voice Services: Call management, routing configuration, feature control
  • Data Services: Network monitoring, bandwidth management, circuit control
  • Cloud Services: Virtual machine management, storage operations, security policies
  • Billing Services: Invoice queries, payment processing, usage analytics
  • Support Services: Ticket creation, status updates, knowledge base access

Read-Only API Keys:

  • Monitoring and Analytics: Service status, performance metrics, usage data
  • Reporting: Historical data, trend analysis, compliance reporting
  • Integration: Third-party system data synchronization and updates
  • Dashboard Access: Portal data for custom dashboards and applications

Limited Scope API Keys:

  • Single Service Access: Restricted to specific service instances
  • Department Specific: Access limited to departmental resources
  • Temporary Access: Time-limited keys for specific projects or tasks
  • Vendor Integration: Third-party vendor access with limited permissions
  • Emergency Access: Break-glass access for critical situations

πŸ” Permission Scopes and Granularity

Scope Definition Structure:

{
  "api_key_scopes": {
    "services": {
      "voice": {
        "read": ["status", "configuration", "analytics"],
        "write": ["configuration", "routing", "features"],
        "admin": ["provisioning", "deprovisioning", "advanced_config"]
      },
      "data": {
        "read": ["circuits", "usage", "performance"],
        "write": ["configuration", "policies"],
        "admin": ["provisioning", "circuit_management"]
      },
      "billing": {
        "read": ["invoices", "payments", "usage"],
        "write": ["payment_methods", "billing_preferences"],
        "admin": ["account_management", "credit_adjustments"]
      }
    },
    "geographic": {
      "locations": ["site_001", "site_002", "region_east"],
      "restrictions": ["country_compliance", "data_residency"]
    },
    "temporal": {
      "business_hours_only": true,
      "expiration": "2024-12-31T23:59:59Z",
      "max_session_duration": "8h"
    }
  }
}

Advanced Permission Examples:

# Complex permission scope configuration
scope_definitions = {
    "network_engineer": {
        "services": ["voice", "data"],
        "permissions": ["read", "write"],
        "restrictions": {
            "locations": ["primary_dc", "backup_dc"],
            "operations": ["configuration", "monitoring"],
            "excluded_operations": ["provisioning", "deprovisioning"]
        }
    },
    "billing_manager": {
        "services": ["billing", "usage_analytics"],
        "permissions": ["read", "write", "admin"],
        "restrictions": {
            "account_access": "department_only",
            "sensitive_operations": ["payment_processing", "credit_adjustments"]
        }
    },
    "integration_service": {
        "services": ["all"],
        "permissions": ["read"],
        "restrictions": {
            "rate_limit": "1000_requests_per_hour",
            "ip_whitelist": ["10.0.0.0/8", "192.168.1.0/24"],
            "user_agent_restriction": "Integration-Service/1.0"
        }
    }
}

πŸ› οΈ API Key Generation and Management

πŸ”§ Key Generation Process

API Key Creation Workflow:

  1. Authentication: Administrative user authentication and authorization
  2. Scope Definition: Define permissions, restrictions, and access levels
  3. Security Configuration: Set expiration, rate limits, and security policies
  4. Key Generation: Cryptographically secure key generation and encoding
  5. Storage and Distribution: Secure key storage and distribution to authorized users

Key Generation Implementation:

import secrets
import hashlib
import base64
from datetime import datetime, timedelta

class APIKeyManager:
    def __init__(self):
        self.key_prefix = "sf_"
        self.key_length = 64
        
    def generate_api_key(self, user_id, scope_config, expiration_days=365):
        """Generate new API key with specified scope and expiration"""
        
        # Generate cryptographically secure random key
        raw_key = secrets.token_bytes(self.key_length)
        key_id = secrets.token_hex(8)
        
        # Create API key string
        api_key = f"{self.key_prefix}{key_id}_{base64.urlsafe_b64encode(raw_key).decode().rstrip('=')}"
        
        # Hash key for secure storage
        key_hash = hashlib.sha256(api_key.encode()).hexdigest()
        
        # Create key metadata
        key_metadata = {
            "key_id": key_id,
            "key_hash": key_hash,
            "user_id": user_id,
            "scope": scope_config,
            "created_at": datetime.utcnow(),
            "expires_at": datetime.utcnow() + timedelta(days=expiration_days),
            "last_used": None,
            "usage_count": 0,
            "status": "active"
        }
        
        # Store in database
        self.store_key_metadata(key_metadata)
        
        # Log key creation
        self.log_key_event("key_created", key_id, user_id)
        
        return {
            "api_key": api_key,
            "key_id": key_id,
            "expires_at": key_metadata["expires_at"],
            "scope": scope_config
        }
    
    def validate_api_key(self, api_key, required_scope):
        """Validate API key and check permissions"""
        try:
            # Extract key ID from API key
            key_parts = api_key.split('_')
            if len(key_parts) != 2 or not api_key.startswith(self.key_prefix):
                return {"valid": False, "error": "Invalid key format"}
            
            key_id = key_parts[0][len(self.key_prefix):]
            
            # Get key metadata
            key_metadata = self.get_key_metadata(key_id)
            if not key_metadata:
                return {"valid": False, "error": "Key not found"}
            
            # Validate key hash
            key_hash = hashlib.sha256(api_key.encode()).hexdigest()
            if key_hash != key_metadata["key_hash"]:
                return {"valid": False, "error": "Invalid key"}
            
            # Check expiration
            if datetime.utcnow() > key_metadata["expires_at"]:
                return {"valid": False, "error": "Key expired"}
            
            # Check status
            if key_metadata["status"] != "active":
                return {"valid": False, "error": "Key inactive"}
            
            # Check scope permissions
            if not self.check_scope_permissions(key_metadata["scope"], required_scope):
                return {"valid": False, "error": "Insufficient permissions"}
            
            # Update usage statistics
            self.update_key_usage(key_id)
            
            return {
                "valid": True,
                "key_id": key_id,
                "user_id": key_metadata["user_id"],
                "scope": key_metadata["scope"]
            }
            
        except Exception as e:
            self.log_key_event("validation_error", None, None, str(e))
            return {"valid": False, "error": "Validation failed"}

πŸ”„ Key Lifecycle Management

Automatic Key Rotation:

class APIKeyRotation:
    def __init__(self):
        self.rotation_warning_days = 30
        self.auto_rotation_enabled = True
    
    def check_keys_for_rotation(self):
        """Check for keys approaching expiration and trigger rotation"""
        expiring_keys = self.get_expiring_keys(self.rotation_warning_days)
        
        for key_metadata in expiring_keys:
            if key_metadata["auto_rotation_enabled"]:
                new_key = self.rotate_api_key(key_metadata["key_id"])
                self.notify_key_rotation(key_metadata["user_id"], new_key)
            else:
                self.notify_key_expiration(key_metadata["user_id"], key_metadata)
    
    def rotate_api_key(self, old_key_id):
        """Rotate API key by generating new key with same scope"""
        old_key = self.get_key_metadata(old_key_id)
        
        # Generate new key with same scope
        new_key = self.generate_api_key(
            user_id=old_key["user_id"],
            scope_config=old_key["scope"],
            expiration_days=365
        )
        
        # Set overlap period for graceful transition
        overlap_period = timedelta(days=7)
        old_key["expires_at"] = datetime.utcnow() + overlap_period
        old_key["status"] = "rotating"
        
        # Update old key
        self.update_key_metadata(old_key_id, old_key)
        
        # Log rotation
        self.log_key_event("key_rotated", old_key_id, old_key["user_id"], {
            "new_key_id": new_key["key_id"],
            "overlap_period_days": 7
        })
        
        return new_key

Key Revocation and Suspension:

def revoke_api_key(self, key_id, reason="manual_revocation"):
    """Immediately revoke API key"""
    key_metadata = self.get_key_metadata(key_id)
    
    # Update key status
    key_metadata["status"] = "revoked"
    key_metadata["revoked_at"] = datetime.utcnow()
    key_metadata["revocation_reason"] = reason
    
    # Store updated metadata
    self.update_key_metadata(key_id, key_metadata)
    
    # Add to revocation cache for fast lookup
    self.add_to_revocation_cache(key_id)
    
    # Log revocation
    self.log_key_event("key_revoked", key_id, key_metadata["user_id"], {
        "reason": reason,
        "immediate_effect": True
    })
    
    # Notify stakeholders
    self.notify_key_revocation(key_metadata["user_id"], key_id, reason)

def suspend_api_key(self, key_id, duration_hours=24, reason="security_investigation"):
    """Temporarily suspend API key"""
    key_metadata = self.get_key_metadata(key_id)
    
    # Update key status
    key_metadata["status"] = "suspended"
    key_metadata["suspended_at"] = datetime.utcnow()
    key_metadata["suspension_until"] = datetime.utcnow() + timedelta(hours=duration_hours)
    key_metadata["suspension_reason"] = reason
    
    # Store updated metadata
    self.update_key_metadata(key_id, key_metadata)
    
    # Schedule automatic reactivation
    self.schedule_key_reactivation(key_id, key_metadata["suspension_until"])
    
    # Log suspension
    self.log_key_event("key_suspended", key_id, key_metadata["user_id"], {
        "reason": reason,
        "duration_hours": duration_hours
    })

πŸ”’ Security and Rate Limiting

πŸ›‘οΈ API Security Implementation

Request Authentication:

def authenticate_api_request(request):
    """Authenticate API request using API key"""
    
    # Extract API key from headers
    api_key = None
    auth_header = request.headers.get('Authorization')
    
    if auth_header and auth_header.startswith('Bearer '):
        api_key = auth_header[7:]  # Remove 'Bearer ' prefix
    elif request.headers.get('X-API-Key'):
        api_key = request.headers.get('X-API-Key')
    
    if not api_key:
        return {"authenticated": False, "error": "No API key provided"}
    
    # Validate API key
    validation_result = validate_api_key(api_key, extract_required_scope(request))
    
    if not validation_result["valid"]:
        # Log failed authentication
        log_failed_authentication(request, validation_result["error"])
        return {"authenticated": False, "error": validation_result["error"]}
    
    # Check rate limits
    rate_limit_result = check_rate_limits(validation_result["key_id"], request)
    if not rate_limit_result["allowed"]:
        return {"authenticated": False, "error": "Rate limit exceeded"}
    
    # Log successful authentication
    log_successful_authentication(validation_result["key_id"], request)
    
    return {
        "authenticated": True,
        "key_id": validation_result["key_id"],
        "user_id": validation_result["user_id"],
        "scope": validation_result["scope"]
    }

Rate Limiting System:

class RateLimiter:
    def __init__(self):
        self.redis_client = redis.Redis(host='localhost', port=6379, db=0)
    
    def check_rate_limit(self, key_id, endpoint, window_seconds=3600):
        """Check if request is within rate limits"""
        
        # Get rate limit configuration for key
        rate_config = self.get_rate_limit_config(key_id)
        
        # Create rate limit key
        rate_key = f"rate_limit:{key_id}:{endpoint}:{int(time.time() // window_seconds)}"
        
        # Get current request count
        current_count = self.redis_client.get(rate_key)
        current_count = int(current_count) if current_count else 0
        
        # Check if limit exceeded
        if current_count >= rate_config["requests_per_hour"]:
            return {
                "allowed": False,
                "limit": rate_config["requests_per_hour"],
                "remaining": 0,
                "reset_time": (int(time.time() // window_seconds) + 1) * window_seconds
            }
        
        # Increment counter
        pipe = self.redis_client.pipeline()
        pipe.incr(rate_key)
        pipe.expire(rate_key, window_seconds)
        pipe.execute()
        
        return {
            "allowed": True,
            "limit": rate_config["requests_per_hour"],
            "remaining": rate_config["requests_per_hour"] - current_count - 1,
            "reset_time": (int(time.time() // window_seconds) + 1) * window_seconds
        }
    
    def get_rate_limit_config(self, key_id):
        """Get rate limit configuration for API key"""
        key_metadata = self.get_key_metadata(key_id)
        
        # Default rate limits
        default_limits = {
            "requests_per_hour": 1000,
            "requests_per_minute": 100,
            "concurrent_requests": 10
        }
        
        # Override with key-specific limits
        custom_limits = key_metadata.get("rate_limits", {})
        return {**default_limits, **custom_limits}

πŸ” Security Monitoring and Threat Detection

Anomaly Detection:

class APISecurityMonitor:
    def __init__(self):
        self.ml_model = load_anomaly_detection_model()
        self.alert_thresholds = {
            "unusual_request_pattern": 0.8,
            "geographic_anomaly": 0.7,
            "rate_spike": 0.9
        }
    
    def analyze_request_pattern(self, key_id, request_data):
        """Analyze request patterns for anomalies"""
        
        # Get historical request patterns
        historical_data = self.get_historical_requests(key_id, days=30)
        
        # Extract features for analysis
        features = self.extract_request_features(request_data, historical_data)
        
        # Run anomaly detection
        anomaly_score = self.ml_model.predict_anomaly(features)
        
        # Check for specific threat indicators
        threat_indicators = {
            "unusual_endpoints": self.check_unusual_endpoints(request_data, historical_data),
            "time_anomaly": self.check_time_patterns(request_data, historical_data),
            "geographic_anomaly": self.check_geographic_patterns(request_data, historical_data),
            "rate_spike": self.check_rate_spikes(key_id)
        }
        
        # Generate alerts if thresholds exceeded
        for indicator, score in threat_indicators.items():
            if score > self.alert_thresholds.get(indicator, 0.8):
                self.generate_security_alert(key_id, indicator, score, request_data)
        
        return {
            "anomaly_score": anomaly_score,
            "threat_indicators": threat_indicators,
            "risk_level": self.calculate_risk_level(anomaly_score, threat_indicators)
        }
    
    def generate_security_alert(self, key_id, threat_type, score, request_data):
        """Generate security alert for suspicious activity"""
        alert = {
            "alert_id": generate_alert_id(),
            "timestamp": datetime.utcnow(),
            "key_id": key_id,
            "threat_type": threat_type,
            "severity": self.calculate_severity(score),
            "score": score,
            "request_data": request_data,
            "recommended_action": self.get_recommended_action(threat_type, score)
        }
        
        # Store alert
        self.store_security_alert(alert)
        
        # Notify security team
        self.notify_security_team(alert)
        
        # Take automatic action if required
        if alert["severity"] == "critical":
            self.take_automatic_action(key_id, threat_type)

πŸ“Š Usage Analytics and Monitoring

πŸ“ˆ API Usage Tracking

Comprehensive Usage Analytics:

class APIUsageAnalytics:
    def __init__(self):
        self.analytics_db = AnalyticsDatabase()
        self.metrics_client = MetricsClient()
    
    def track_api_usage(self, key_id, endpoint, method, response_code, response_time):
        """Track API usage for analytics and billing"""
        
        usage_data = {
            "timestamp": datetime.utcnow(),
            "key_id": key_id,
            "endpoint": endpoint,
            "method": method,
            "response_code": response_code,
            "response_time_ms": response_time,
            "user_agent": request.headers.get('User-Agent'),
            "ip_address": request.remote_addr,
            "request_size": len(request.data) if request.data else 0,
            "response_size": calculate_response_size()
        }
        
        # Store detailed usage data
        self.analytics_db.insert_usage_record(usage_data)
        
        # Update real-time metrics
        self.metrics_client.increment(f"api.requests.{endpoint}.{method}")
        self.metrics_client.histogram("api.response_time", response_time, 
                                    tags={"endpoint": endpoint, "key_id": key_id})
        
        # Update key statistics
        self.update_key_statistics(key_id, usage_data)
    
    def generate_usage_report(self, key_id, start_date, end_date):
        """Generate comprehensive usage report for API key"""
        
        usage_stats = self.analytics_db.query_usage_stats(key_id, start_date, end_date)
        
        report = {
            "key_id": key_id,
            "report_period": {"start": start_date, "end": end_date},
            "summary": {
                "total_requests": usage_stats["total_requests"],
                "successful_requests": usage_stats["success_count"],
                "error_requests": usage_stats["error_count"],
                "avg_response_time": usage_stats["avg_response_time"],
                "data_transferred_mb": usage_stats["total_data_mb"]
            },
            "endpoint_breakdown": usage_stats["endpoint_stats"],
            "time_patterns": usage_stats["hourly_distribution"],
            "error_analysis": usage_stats["error_breakdown"],
            "geographic_distribution": usage_stats["ip_geo_stats"]
        }
        
        return report

Real-time Monitoring Dashboard:

// API Key Monitoring Dashboard
class APIKeyMonitor {
    constructor(keyId) {
        this.keyId = keyId;
        this.socket = new WebSocket('wss://api.solveforce.com/monitoring');
        this.charts = {};
        this.initializeCharts();
    }
    
    initializeCharts() {
        // Request rate chart
        this.charts.requestRate = new Chart(document.getElementById('requestRateChart'), {
            type: 'line',
            data: { labels: [], datasets: [{ label: 'Requests/min', data: [] }] },
            options: { responsive: true, scales: { y: { beginAtZero: true } } }
        });
        
        // Error rate chart
        this.charts.errorRate = new Chart(document.getElementById('errorRateChart'), {
            type: 'line',
            data: { labels: [], datasets: [{ label: 'Error %', data: [] }] },
            options: { responsive: true, scales: { y: { beginAtZero: true, max: 100 } } }
        });
        
        // Response time chart
        this.charts.responseTime = new Chart(document.getElementById('responseTimeChart'), {
            type: 'line',
            data: { labels: [], datasets: [{ label: 'Response Time (ms)', data: [] }] },
            options: { responsive: true, scales: { y: { beginAtZero: true } } }
        });
    }
    
    updateMetrics(metrics) {
        const timestamp = new Date().toLocaleTimeString();
        
        // Update request rate
        this.updateChart(this.charts.requestRate, timestamp, metrics.requestRate);
        
        // Update error rate
        this.updateChart(this.charts.errorRate, timestamp, metrics.errorRate);
        
        // Update response time
        this.updateChart(this.charts.responseTime, timestamp, metrics.avgResponseTime);
        
        // Update summary statistics
        document.getElementById('totalRequests').textContent = metrics.totalRequests;
        document.getElementById('currentRate').textContent = `${metrics.requestRate}/min`;
        document.getElementById('errorRate').textContent = `${metrics.errorRate}%`;
        document.getElementById('avgResponseTime').textContent = `${metrics.avgResponseTime}ms`;
    }
    
    updateChart(chart, label, value) {
        chart.data.labels.push(label);
        chart.data.datasets[0].data.push(value);
        
        // Keep only last 20 data points
        if (chart.data.labels.length > 20) {
            chart.data.labels.shift();
            chart.data.datasets[0].data.shift();
        }
        
        chart.update();
    }
}

πŸ› οΈ API Key Administration

πŸ‘₯ Organization and Team Management

Hierarchical Key Management:

class OrganizationKeyManager:
    def __init__(self):
        self.hierarchy_levels = ["organization", "department", "team", "individual"]
    
    def create_organizational_structure(self, org_config):
        """Create hierarchical API key structure for organization"""
        
        # Create master organization key
        master_key = self.generate_api_key(
            user_id=org_config["admin_user_id"],
            scope_config={
                "level": "organization",
                "permissions": ["admin", "billing", "user_management"],
                "inheritance": True
            }
        )
        
        # Create department keys
        department_keys = []
        for dept in org_config["departments"]:
            dept_key = self.generate_api_key(
                user_id=dept["manager_id"],
                scope_config={
                    "level": "department",
                    "department": dept["name"],
                    "permissions": dept["permissions"],
                    "parent_key": master_key["key_id"],
                    "inheritance": True
                }
            )
            department_keys.append(dept_key)
            
            # Create team keys within department
            for team in dept.get("teams", []):
                team_key = self.generate_api_key(
                    user_id=team["lead_id"],
                    scope_config={
                        "level": "team",
                        "department": dept["name"],
                        "team": team["name"],
                        "permissions": team["permissions"],
                        "parent_key": dept_key["key_id"]
                    }
                )
        
        return {
            "master_key": master_key,
            "department_keys": department_keys,
            "structure_created": datetime.utcnow()
        }
    
    def inherit_permissions(self, parent_key_id, child_scope):
        """Inherit permissions from parent key"""
        parent_metadata = self.get_key_metadata(parent_key_id)
        parent_scope = parent_metadata["scope"]
        
        # Inherit permissions from parent
        inherited_permissions = parent_scope.get("permissions", [])
        child_permissions = child_scope.get("permissions", [])
        
        # Combine permissions (child cannot exceed parent)
        final_permissions = list(set(inherited_permissions) & set(child_permissions))
        
        # Inherit restrictions
        child_scope["inherited_restrictions"] = parent_scope.get("restrictions", {})
        child_scope["permissions"] = final_permissions
        
        return child_scope

Bulk Key Operations:

def bulk_key_operations():
    """Perform bulk operations on API keys"""
    
    operations = {
        "bulk_create": bulk_create_keys,
        "bulk_rotate": bulk_rotate_keys,
        "bulk_revoke": bulk_revoke_keys,
        "bulk_update_scope": bulk_update_scope
    }
    
    return operations

def bulk_create_keys(key_definitions):
    """Create multiple API keys from definitions"""
    results = []
    
    for key_def in key_definitions:
        try:
            new_key = generate_api_key(
                user_id=key_def["user_id"],
                scope_config=key_def["scope"],
                expiration_days=key_def.get("expiration_days", 365)
            )
            results.append({"status": "success", "key": new_key})
        except Exception as e:
            results.append({"status": "error", "error": str(e), "definition": key_def})
    
    return results

def bulk_rotate_keys(key_ids, rotation_config):
    """Rotate multiple API keys simultaneously"""
    results = []
    
    for key_id in key_ids:
        try:
            new_key = rotate_api_key(key_id)
            results.append({"key_id": key_id, "status": "rotated", "new_key": new_key})
        except Exception as e:
            results.append({"key_id": key_id, "status": "error", "error": str(e)})
    
    return results

πŸ“š Best Practices and Guidelines

πŸ”’ Security Best Practices

API Key Security Guidelines:

## API Key Security Best Practices

### 1. Key Storage and Distribution
- **Never commit API keys to version control**
- **Use environment variables or secure secret management**
- **Encrypt keys at rest and in transit**
- **Implement secure key distribution mechanisms**
- **Use separate keys for different environments**

### 2. Access Control
- **Apply principle of least privilege**
- **Use service-specific keys when possible**
- **Implement regular key rotation schedules**
- **Monitor and audit key usage patterns**
- **Revoke unused or compromised keys immediately**

### 3. Network Security
- **Use HTTPS for all API communications**
- **Implement IP whitelisting where appropriate**
- **Use API gateways for additional security layers**
- **Monitor for unusual network patterns**
- **Implement proper firewall rules**

### 4. Application Security
- **Validate all API responses**
- **Implement proper error handling**
- **Use secure coding practices**
- **Regularly update dependencies**
- **Implement input validation and sanitization**

Implementation Examples:

# Secure API key handling examples

# 1. Environment variable usage
import os
API_KEY = os.getenv('SOLVEFORCE_API_KEY')
if not API_KEY:
    raise ValueError("SOLVEFORCE_API_KEY environment variable not set")

# 2. Secure configuration management
from cryptography.fernet import Fernet

class SecureConfig:
    def __init__(self, encryption_key):
        self.cipher = Fernet(encryption_key)
    
    def store_api_key(self, key_name, api_key):
        encrypted_key = self.cipher.encrypt(api_key.encode())
        # Store encrypted_key in secure storage
        return encrypted_key
    
    def retrieve_api_key(self, key_name):
        encrypted_key = self.get_from_secure_storage(key_name)
        return self.cipher.decrypt(encrypted_key).decode()

# 3. Secure HTTP client configuration
import requests
from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry

class SecureAPIClient:
    def __init__(self, api_key):
        self.api_key = api_key
        self.session = requests.Session()
        
        # Configure retry strategy
        retry_strategy = Retry(
            total=3,
            backoff_factor=1,
            status_forcelist=[429, 500, 502, 503, 504]
        )
        
        adapter = HTTPAdapter(max_retries=retry_strategy)
        self.session.mount("https://", adapter)
        
        # Set security headers
        self.session.headers.update({
            'Authorization': f'Bearer {self.api_key}',
            'User-Agent': 'SecureClient/1.0',
            'Accept': 'application/json'
        })
    
    def make_request(self, method, endpoint, **kwargs):
        # Ensure HTTPS
        if not endpoint.startswith('https://'):
            raise ValueError("Only HTTPS endpoints allowed")
        
        return self.session.request(method, endpoint, **kwargs)

πŸ“ž Support and Resources

πŸ› οΈ Developer Resources

API Key Management Tools:

  • Key Generation Utility: Command-line tool for API key generation
  • Scope Configuration Helper: Interactive scope definition wizard
  • Security Validation Tool: API key security assessment utility
  • Usage Analytics Dashboard: Comprehensive usage monitoring interface
  • Bulk Management Interface: Web-based bulk key operations

Code Examples and SDKs:

# Install SOLVEFORCE SDK with API key management
pip install solveforce-sdk

# Example usage
from solveforce import APIKeyManager, SolveForceAPI

# Initialize API key manager
key_manager = APIKeyManager(master_key='your-master-key')

# Generate new service-specific key
service_key = key_manager.create_key(
    scope=['voice_services'],
    permissions=['read', 'write'],
    expiration_days=90
)

# Use generated key with API client
api_client = SolveForceAPI(api_key=service_key['api_key'])

πŸ“ž Support and Professional Services

Technical Support:

  • API Key Support: Dedicated support for key management issues
  • Integration Assistance: Help with API key integration and implementation
  • Security Consultation: API security assessment and recommendations
  • Performance Optimization: API usage optimization and best practices
  • Training Programs: Comprehensive API key management training

Professional Services:

  • Enterprise Implementation: Large-scale API key deployment and management
  • Custom Key Management: Tailored key management solution development
  • Security Assessment: Comprehensive API security evaluation
  • Migration Services: Legacy system to modern API key migration
  • Compliance Assistance: Regulatory compliance guidance and implementation

Contact Information:

  • API Support: api-support@solveforce.com
  • Security Team: security@solveforce.com
  • Integration Services: integrations@solveforce.com
  • Professional Services: consulting@solveforce.com
  • Emergency Support: 1-888-API-HELP

Your API Security Partner – SOLVEFORCE API Key Management.

Comprehensive API key platform designed to provide secure, scalable, and enterprise-grade API authentication with granular access control, advanced security features, and complete lifecycle management for all your telecommunications and IT service integrations.