Comprehensive security best practices and guidelines for GigaVector deployments.
- Security Overview
- API Key Management
- Data Protection
- Network Security
- Access Control
- Secure Coding Practices
- Vulnerability Management
- Compliance Considerations
- Security Checklist
GigaVector handles sensitive data including:
- User conversations and memories
- API keys for LLM services
- Vector embeddings (may contain PII)
- Metadata with potentially sensitive information
This guide provides best practices for securing GigaVector deployments.
Never:
- Hardcode API keys in source code
- Commit keys to version control
- Log API keys in application logs
- Transmit keys over unencrypted channels
Best Practices:
# Use .env file (not committed to git)
export OPENAI_API_KEY=sk-...
export ANTHROPIC_API_KEY=sk-ant-...
# Or use systemd environment file
# /etc/gigavector/environment
OPENAI_API_KEY=sk-...AWS Secrets Manager:
// Retrieve from AWS Secrets Manager
char *api_key = get_secret_from_aws("gigavector/openai-key");HashiCorp Vault:
// Retrieve from Vault
char *api_key = get_secret_from_vault("secret/data/gigavector/openai");Kubernetes Secrets:
apiVersion: v1
kind: Secret
metadata:
name: gigavector-secrets
type: Opaque
stringData:
openai-api-key: sk-...Schedule:
- Rotate keys every 90 days
- Rotate immediately if compromised
- Use key versioning for zero-downtime rotation
Implementation:
// Support multiple keys during rotation
GV_LLMConfig config = {
.api_key = get_current_api_key(), // Try primary
// Fallback to secondary if primary fails
};GigaVector validates API key formats:
// Automatic validation on creation
GV_LLM *llm = gv_llm_create(&config);
if (llm == NULL) {
// Key format invalid or other error
const char *error = gv_llm_get_last_error(llm);
log_security_event("Invalid API key format");
}Filesystem Encryption:
# Use LUKS for Linux
cryptsetup luksFormat /dev/sdb1
cryptsetup luksOpen /dev/sdb1 encrypted_volume
# Use BitLocker for Windows
manage-bde -on C: -RecoveryPasswordApplication-Level Encryption:
For highly sensitive data, encrypt before storage:
// Encrypt sensitive metadata before storing
char *encrypted_metadata = encrypt_aes256(metadata, encryption_key);
gv_db_add_vector_with_metadata(db, vector, dim, "encrypted_data", encrypted_metadata);TLS/SSL Requirements:
- Minimum TLS 1.2
- Prefer TLS 1.3
- Use strong cipher suites
- Validate certificates
LLM API Calls:
GigaVector uses HTTPS for all external API calls:
- OpenAI:
https://api.openai.com(TLS 1.2+) - Anthropic:
https://api.anthropic.com(TLS 1.2+) - Google:
https://generativelanguage.googleapis.com(TLS 1.2+)
Internal Communications:
// Use TLS for internal API
curl_easy_setopt(curl, CURLOPT_SSL_VERIFYPEER, 1L);
curl_easy_setopt(curl, CURLOPT_SSL_VERIFYHOST, 2L);
curl_easy_setopt(curl, CURLOPT_CAINFO, "/etc/ssl/certs/ca-certificates.crt");Secure Memory Clearing:
GigaVector securely clears API keys from memory:
// API keys are cleared using secure_memclear()
void gv_llm_destroy(GV_LLM *llm) {
if (llm->config.api_key) {
secure_memclear(llm->config.api_key, strlen(llm->config.api_key));
free(llm->config.api_key);
}
}Memory Locking:
For sensitive data, consider locking pages in memory:
#include <sys/mman.h>
// Lock sensitive memory pages
mlock(sensitive_data, data_size);
// ... use data ...
munlock(sensitive_data, data_size);Input Validation:
// Validate and sanitize user input
int validate_conversation(const char *conversation) {
if (conversation == NULL) return 0;
size_t len = strlen(conversation);
if (len > MAX_CONVERSATION_LENGTH) return 0;
// Check for injection attempts
if (strstr(conversation, "<script>") != NULL) return 0;
return 1;
}Output Encoding:
// Escape user data in outputs
char *escaped = json_escape_string(user_input);
printf("{\"data\": \"%s\"}", escaped);
free(escaped);Restrict Access:
# Allow only necessary ports
ufw allow 22/tcp # SSH
ufw allow 443/tcp # HTTPS
ufw deny allApplication Firewall:
// Whitelist allowed IPs
int is_allowed_ip(const char *client_ip) {
const char *allowed_ips[] = {"10.0.0.0/8", "192.168.1.0/24", NULL};
return check_ip_whitelist(client_ip, allowed_ips);
}Use VPN for:
- Internal service communications
- Database access
- Administrative operations
Private Networks:
- Deploy GigaVector on private subnets
- Use load balancers for public access
- Implement network segmentation
Rate Limiting:
// Implement rate limiting
typedef struct {
time_t window_start;
int request_count;
int max_requests;
} RateLimiter;
int check_rate_limit(RateLimiter *limiter) {
time_t now = time(NULL);
if (now - limiter->window_start > 60) {
limiter->window_start = now;
limiter->request_count = 0;
}
if (limiter->request_count >= limiter->max_requests) {
return 0; // Rate limit exceeded
}
limiter->request_count++;
return 1;
}Connection Limits:
// Limit concurrent connections
sem_t connection_semaphore;
sem_init(&connection_semaphore, 0, MAX_CONCURRENT_CONNECTIONS);
sem_wait(&connection_semaphore);
// Process request
sem_post(&connection_semaphore);API Key Authentication:
// Validate API keys
int authenticate_request(const char *provided_key) {
const char *valid_key = get_api_key_from_secure_storage();
if (valid_key == NULL || strcmp(provided_key, valid_key) != 0) {
log_security_event("Invalid API key attempt");
return 0;
}
return 1;
}Token-Based Authentication:
// JWT token validation
int validate_jwt_token(const char *token) {
// Verify signature
// Check expiration
// Validate claims
return jwt_verify(token, public_key);
}Role-Based Access Control (RBAC):
typedef enum {
ROLE_READ_ONLY,
ROLE_READ_WRITE,
ROLE_ADMIN
} UserRole;
int check_permission(UserRole role, const char *operation) {
if (role == ROLE_ADMIN) return 1;
if (role == ROLE_READ_WRITE && strcmp(operation, "write") == 0) return 1;
if (strcmp(operation, "read") == 0) return 1;
return 0;
}Resource-Level Permissions:
// Check if user can access specific database
int can_access_database(const char *user_id, const char *db_id) {
// Check user's database permissions
return check_user_permission(user_id, db_id);
}Security Events:
void log_security_event(const char *event_type, const char *details) {
time_t now = time(NULL);
char timestamp[64];
strftime(timestamp, sizeof(timestamp), "%Y-%m-%d %H:%M:%S", localtime(&now));
FILE *log = fopen("/var/log/gigavector/security.log", "a");
fprintf(log, "[%s] [SECURITY] %s: %s\n", timestamp, event_type, details);
fclose(log);
}
// Log authentication failures
if (!authenticate_request(api_key)) {
log_security_event("AUTH_FAILURE", "Invalid API key");
return 401;
}Always validate:
- Vector dimensions
- Metadata keys and values
- Conversation lengths
- API parameters
int validate_vector_input(const float *data, size_t dimension) {
if (data == NULL) return 0;
if (dimension == 0 || dimension > MAX_DIMENSION) return 0;
// Check for NaN or Inf
for (size_t i = 0; i < dimension; i++) {
if (!isfinite(data[i])) return 0;
}
return 1;
}GigaVector uses safe string functions:
// Use snprintf instead of sprintf
char buffer[256];
snprintf(buffer, sizeof(buffer), "format: %s", user_input);
// Check return values
int written = snprintf(buffer, size, format, ...);
if (written < 0 || (size_t)written >= size) {
// Handle truncation
}Always:
- Check malloc return values
- Free allocated memory
- Use valgrind to detect leaks
- Enable sanitizers in development
void *ptr = malloc(size);
if (ptr == NULL) {
// Handle allocation failure
return NULL;
}
// ... use ptr ...
free(ptr);
ptr = NULL; // Prevent use-after-freeNever expose sensitive information in errors:
// Bad: Exposes internal details
fprintf(stderr, "Database error: %s\n", internal_error_message);
// Good: Generic error message
fprintf(stderr, "Database operation failed\n");
log_internal_error(internal_error_message); // Log internallyRegular Updates:
- Update libcurl regularly
- Monitor CVE databases
- Use automated dependency scanning
# Check for outdated packages
apt list --upgradable
# Update libcurl
apt-get update && apt-get upgrade libcurl4-openssl-devStatic Analysis:
# Use cppcheck
cppcheck --enable=all src/
# Use clang static analyzer
scan-build makeDynamic Analysis:
# Use AddressSanitizer
make CFLAGS="-fsanitize=address" test
# Use Valgrind
valgrind --leak-check=full ./test_programMonitor:
- GitHub Security Advisories
- CVE databases
- Security mailing lists
Response Process:
- Assess severity
- Test patches
- Deploy fixes
- Communicate to users
Right to Erasure:
// Implement data deletion
int delete_user_data(GV_Database *db, const char *user_id) {
// Find all vectors for user
// Delete vectors and metadata
// Log deletion
return 0;
}Data Portability:
// Export user data
int export_user_data(GV_Database *db, const char *user_id, FILE *output) {
// Export all user's vectors and metadata
// Format as JSON
return 0;
}For healthcare data:
- Use encryption at rest and in transit
- Implement strict access controls
- Maintain audit logs
- Use BAA with cloud providers
Security Controls:
- Access controls
- Encryption
- Monitoring and logging
- Incident response procedures
- API keys stored securely (not in code)
- TLS/SSL configured for all connections
- Firewall rules configured
- Access controls implemented
- Input validation in place
- Error handling doesn't expose sensitive data
- Logging configured (no sensitive data)
- Backup encryption enabled
- Security scanning completed
- Dependencies updated
- Regular security audits
- Monitor security logs
- Update dependencies monthly
- Rotate API keys quarterly
- Review access permissions quarterly
- Test backup recovery monthly
- Review and update security policies
- Incident response plan documented
- Security team contacts identified
- Escalation procedures defined
- Communication plan ready
- Forensics capabilities available
For security issues:
- Email: security@gigavector.example (replace with actual)
- GitHub: Open a private security advisory
- Response Time: Within 24 hours for critical issues
Remember: Security is an ongoing process, not a one-time setup. Regularly review and update your security practices.