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themis docs security security_column_encryption
Status: Design Phase (Sprint C.3)
Datum: 30. Oktober 2025
Autor: Themis Development Team
Column-Level Encryption ermöglicht die Verschlüsselung sensibler Datenfelder at-rest in der Datenbank. Dies erfüllt Compliance-Anforderungen (DSGVO, HIPAA) und schützt vor Insider-Threats und Storage-Compromise-Szenarien.
- Data-at-Rest Protection: Sensible Felder (Email, SSN, Kreditkarten) verschlüsselt speichern
-
Transparent Usage: Entwickler arbeiten mit
EncryptedField<T>, Verschlüsselung automatisch - Key Rotation: Unterstützung für periodischen Schlüsselwechsel ohne Downtime
- Minimal Performance Impact: <10ms Overhead für Encrypt/Decrypt Operationen
- Pluggable Key Management: Interface für HashiCorp Vault, AWS KMS, Azure Key Vault
- ❌ Encryption-in-Transit (wird durch TLS abgedeckt)
- ❌ Homomorphic Encryption (zu langsam für produktive Nutzung)
- ❌ Searchable Encryption (zukünftiger Sprint)
- ❌ Database-Level Encryption (alternative Strategie via RocksDB encryption)
| Threat | Beschreibung | Mitigation durch Column Encryption |
|---|---|---|
| Storage Compromise | Angreifer erhält Zugriff auf RocksDB SST-Files | ✅ Daten sind verschlüsselt, Keys separat gespeichert |
| Backup Leakage | Backup-Files werden versehentlich öffentlich | ✅ Verschlüsselte Daten unlesbar ohne Keys |
| Insider Threat | DB-Admin mit Disk-Zugriff | ✅ Keys nur in Key Management System, nicht auf Disk |
| Memory Dump | Angreifer liest RAM-Inhalte | |
| SQL Injection | Angreifer extrahiert Daten via Query | ❌ Nicht geschützt - AppSec Verantwortung |
┌─────────────────────────────────────────────────────────┐
│ Application Layer (Trusted) │
│ - EncryptedField<T> Templates │
│ - Plaintext briefly in memory during operations │
└───────────────────┬─────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────┐
│ Encryption Layer (Trusted) │
│ - FieldEncryption: AES-256-GCM Encrypt/Decrypt │
│ - Key Cache: In-memory cache (max 1000 keys, 1h TTL) │
└───────────────────┬─────────────────────────────────────┘
│
┌──────────┴──────────┐
▼ ▼
┌──────────────────┐ ┌──────────────────────┐
│ KeyProvider │ │ Storage Layer │
│ (External/Vault) │ │ (Untrusted) │
│ - Stores KEKs │ │ - Encrypted Data │
│ - Access Control │ │ - Metadata (key ID) │
└──────────────────┘ └──────────────────────┘
Annahmen:
- Application-Memory ist vertrauenswürdig (OS-Level Security)
- Key Management System (Vault/KMS) ist extern und gehärtet
- Netzwerk zwischen App und KMS ist TLS-gesichert
┌──────────────────────────────────────────────────────────┐
│ Application Code │
│ User user; │
│ user.email = EncryptedField<std::string>("[email protected]");│
│ std::string plaintext = user.email.decrypt(); │
└────────────────────┬─────────────────────────────────────┘
│
▼
┌──────────────────────────────────────────────────────────┐
│ EncryptedField<T> Template │
│ - Stores: {ciphertext, key_id, key_version, iv, tag} │
│ - Methods: T decrypt(), void encrypt(T plaintext) │
│ - Serialization: toJson() / fromJson() │
└────────────────────┬─────────────────────────────────────┘
│
▼
┌──────────────────────────────────────────────────────────┐
│ FieldEncryption Class │
│ - encrypt(plaintext, key_id) -> EncryptedBlob │
│ - decrypt(EncryptedBlob) -> plaintext │
│ - Algorithm: AES-256-GCM (AEAD) │
│ - IV: Random 12 bytes per encryption │
│ - Tag: 16 bytes authentication tag │
└────────────────────┬─────────────────────────────────────┘
│
▼
┌──────────────────────────────────────────────────────────┐
│ KeyProvider Interface │
│ virtual std::vector<uint8_t> getKey(std::string id) = 0│
│ virtual void rotateKey(std::string id) = 0 │
│ virtual std::vector<KeyMetadata> listKeys() = 0 │
└──────────────┬───────────────────────────────────────────┘
│
┌────────┴────────┐
▼ ▼
┌──────────────┐ ┌──────────────────┐
│MockKeyProvider│ │VaultKeyProvider │
│(In-Memory) │ │(HashiCorp Vault) │
└───────────────┘ └──────────────────┘
struct EncryptedBlob {
std::string key_id; // "user_pii_v1"
uint32_t key_version; // 2 (for rotation)
std::vector<uint8_t> iv; // 12 bytes (AES-GCM standard)
std::vector<uint8_t> ciphertext;
std::vector<uint8_t> tag; // 16 bytes authentication tag
// Serialization: base64(key_id:version:iv:ciphertext:tag)
std::string toBase64() const;
static EncryptedBlob fromBase64(const std::string& b64);
};struct KeyMetadata {
std::string key_id;
uint32_t version;
std::string algorithm; // "AES-256-GCM"
int64_t created_at_ms;
int64_t expires_at_ms; // 0 = never
KeyStatus status; // ACTIVE, ROTATING, DEPRECATED
};1. Application sets value:
user.email = EncryptedField<string>("[email protected]");
2. EncryptedField<string>::operator=()
├─> FieldEncryption::encrypt("[email protected]", "user_pii")
│ ├─> KeyProvider::getKey("user_pii") -> 32 bytes DEK
│ ├─> Generate random IV (12 bytes)
│ ├─> OpenSSL EVP_EncryptInit_ex(AES-256-GCM)
│ ├─> EVP_EncryptUpdate(plaintext)
│ ├─> EVP_EncryptFinal_ex() -> ciphertext + tag
│ └─> return EncryptedBlob{key_id, version, iv, ciphertext, tag}
└─> Store EncryptedBlob internally
3. Storage Layer:
├─> user.toJson() -> {"email": "base64(blob)"}
└─> RocksDB Put("d:users:123", json_string)
Performance:
- Key lookup: ~1ms (cached) / ~50ms (Vault API call)
- AES-256-GCM encryption: ~0.5ms for 1KB plaintext
- Total: ~1.5ms (cached) / ~50ms (cold)
1. Application reads value:
std::string email = user.email.decrypt();
2. EncryptedField<string>::decrypt()
├─> FieldEncryption::decrypt(stored_blob)
│ ├─> KeyProvider::getKey(blob.key_id, blob.key_version)
│ ├─> OpenSSL EVP_DecryptInit_ex(AES-256-GCM)
│ ├─> EVP_DecryptUpdate(ciphertext)
│ ├─> EVP_CIPHER_CTX_ctrl(EVP_CTRL_GCM_SET_TAG, tag)
│ ├─> EVP_DecryptFinal_ex() -> plaintext (or AUTH_FAILED)
│ └─> return plaintext
└─> return std::string
3. Error Handling:
├─> Authentication failure -> throw DecryptionException
├─> Key not found -> throw KeyNotFoundException
└─> Invalid base64 -> throw DecodingException
┌─────────────────────────────────────────────────┐
│ Key Encryption Key (KEK) │
│ - Stored in: Vault/KMS │
│ - Rotation: Annually │
│ - Access: Restricted to App Service Principal │
└────────────────┬────────────────────────────────┘
│ (encrypts)
▼
┌─────────────────────────────────────────────────┐
│ Data Encryption Keys (DEK) │
│ - Per field type: "user_pii", "payment_info" │
│ - Versioned: v1, v2, ... (for rotation) │
│ - Size: 256 bits (32 bytes) │
│ - Cache: In-memory, 1h TTL, max 1000 keys │
└─────────────────────────────────────────────────┘
Rationale:
- KEK in Vault ermöglicht zentrale Kontrolle und Auditing
- DEKs gecached für Performance (1ms statt 50ms)
- Versionierung erlaubt sanfte Key Rotation ohne Re-Encryption
Scenario: Rotate "user_pii" key from v2 to v3
Phase 1: Dual-Write (Week 1-2)
1. Admin: vault_client.createKey("user_pii", version=3)
2. Config: Set write_key_version=3, read_key_versions=[2,3]
3. New data: Encrypted with v3
4. Old data: Still readable with v2
Phase 2: Background Re-Encryption (Week 3-4)
1. Job: SELECT id FROM users WHERE email_key_version = 2
2. For each row:
├─> plaintext = decrypt(email, key_v2)
├─> encrypted = encrypt(plaintext, key_v3)
└─> UPDATE users SET email = encrypted WHERE id = ?
3. Progress tracking: "23,456 / 1,000,000 rows (2.3%)"
Phase 3: Deprecation (Week 5)
1. Config: read_key_versions=[3]
2. Admin: vault_client.deprecateKey("user_pii", version=2)
3. Monitoring: Alert if v2 decrypt attempts > 0
Phase 4: Deletion (Week 8+)
1. Admin: vault_client.deleteKey("user_pii", version=2)
2. Audit log: "user_pii_v2 deleted by [email protected]"
Rollback Safety:
- Alle Key-Versionen bleiben 30 Tage nach Deprecation verfügbar
- Re-Encryption ist idempotent (kann wiederholt werden)
- Config-Changes sind Feature-Flagged (sofort revertierbar)
class MockKeyProvider : public KeyProvider {
private:
std::map<std::string, std::map<uint32_t, std::vector<uint8_t>>> keys_;
std::mutex mutex_;
public:
// Generates random 256-bit key
void createKey(const std::string& key_id, uint32_t version);
// Returns key or throws KeyNotFoundException
std::vector<uint8_t> getKey(const std::string& key_id,
uint32_t version) override;
// Not implemented (testing only)
void rotateKey(const std::string& key_id) override {
throw NotImplementedException();
}
};class VaultKeyProvider : public KeyProvider {
private:
std::string vault_addr_; // "https://vault.example.com:8200"
std::string vault_token_; // Service principal token
std::unique_ptr<KeyCache> cache_;
public:
// Authenticates via AppRole or K8s Service Account
void authenticate();
// GET /v1/secret/data/encryption/{key_id}/v{version}
std::vector<uint8_t> getKey(const std::string& key_id,
uint32_t version) override;
// POST /v1/secret/data/encryption/{key_id}/v{next_version}
void rotateKey(const std::string& key_id) override;
// Cache hit ratio metric
double getCacheHitRate() const;
};| Operation | Latency (p50) | Latency (p99) | Throughput |
|---|---|---|---|
| Encrypt (1KB) | 0.5ms | 2ms | 2000 ops/sec |
| Decrypt (1KB) | 0.5ms | 2ms | 2000 ops/sec |
| Key Lookup (cached) | 0.01ms | 0.1ms | 100k ops/sec |
| Key Lookup (Vault) | 50ms | 200ms | 20 ops/sec |
1. Key Caching Strategy
class KeyCache {
struct Entry {
std::vector<uint8_t> key;
int64_t expires_at_ms;
uint64_t access_count;
};
std::map<std::string, Entry> cache_; // key_id:version -> Entry
size_t max_size_ = 1000;
int64_t ttl_ms_ = 3600000; // 1 hour
// LRU eviction when cache full
void evictLRU();
};2. Batch Encryption
// Instead of:
for (auto& user : users) {
user.email.encrypt(); // 1000 key lookups!
}
// Use:
auto key = key_provider->getKey("user_pii");
for (auto& user : users) {
user.email.encryptWithKey(key); // 1 key lookup
}3. Lazy Decryption
template<typename T>
class EncryptedField {
mutable std::optional<T> cached_plaintext_;
T decrypt() const {
if (!cached_plaintext_) {
cached_plaintext_ = field_encryption_->decrypt(blob_);
}
return *cached_plaintext_;
}
};// Prometheus metrics
encryption_operations_total{operation="encrypt",key_id="user_pii"} 45234
encryption_operations_total{operation="decrypt",key_id="user_pii"} 128956
encryption_duration_seconds{operation="encrypt",quantile="0.5"} 0.0005
encryption_duration_seconds{operation="encrypt",quantile="0.99"} 0.002
key_cache_hit_rate{key_id="user_pii"} 0.98
key_lookup_errors_total{error="key_not_found"} 12✅ Use authenticated encryption (AES-GCM) - Prevents tampering
✅ Generate random IV per encryption - Prevents pattern analysis
✅ Cache keys with TTL - Balance performance and key rotation
✅ Log all key accesses - Audit trail for compliance
✅ Encrypt in application layer - Database never sees plaintext
✅ Use separate keys per field type - Limits blast radius
✅ Implement key versioning - Enables rotation without downtime
❌ Never store keys with encrypted data - Defeats purpose
❌ Don't use ECB mode - Vulnerable to pattern attacks
❌ Don't reuse IVs - Breaks GCM security guarantees
❌ Don't skip authentication tags - Allows tampering
❌ Don't log plaintext - Audit logs must be redacted
❌ Don't use hardcoded keys - Security nightmare
❌ Don't encrypt everything - Performance & operational overhead
Encrypt:
- Personally Identifiable Information (PII): Email, Phone, SSN, Address
- Financial Data: Credit Cards, Bank Accounts, Salaries
- Health Records: Medical IDs, Diagnoses, Prescriptions
- Secrets: API Keys, Passwords (already hashed), OAuth Tokens
Don't Encrypt:
- Primary Keys / Foreign Keys (needed for joins/indexes)
- Timestamps (used in range queries)
- Status Flags (frequent filtering)
- Non-sensitive Metadata (created_by, updated_at)
struct User {
std::string id; // Plaintext (PK)
std::string username; // Plaintext (indexed)
EncryptedField<std::string> email; // Encrypted (PII)
EncryptedField<std::string> phone; // Encrypted (PII)
std::string country; // Plaintext (indexed)
int64_t created_at; // Plaintext (range queries)
nlohmann::json toJson() const {
return {
{"id", id},
{"username", username},
{"email", email.toBase64()}, // Serialized encrypted
{"phone", phone.toBase64()},
{"country", country},
{"created_at", created_at}
};
}
static User fromJson(const nlohmann::json& j) {
User u;
u.id = j["id"];
u.username = j["username"];
u.email = EncryptedField<std::string>::fromBase64(j["email"]);
u.phone = EncryptedField<std::string>::fromBase64(j["phone"]);
u.country = j["country"];
u.created_at = j["created_at"];
return u;
}
};// Initialize encryption system
auto key_provider = std::make_shared<VaultKeyProvider>(
"https://vault.prod.example.com:8200",
vault_token
);
auto field_encryption = std::make_shared<FieldEncryption>(key_provider);
EncryptedField<std::string>::setFieldEncryption(field_encryption);
// Create user with encrypted fields
User user;
user.id = "u_12345";
user.username = "alice";
user.email = EncryptedField<std::string>("[email protected]", "user_pii");
user.phone = EncryptedField<std::string>("+1-555-0123", "user_pii");
user.country = "US";
user.created_at = getCurrentTimeMs();
// Store in database
auto json_str = user.toJson().dump();
db->put("d:users:" + user.id, json_str);// Retrieve from database
auto json_str = db->get("d:users:u_12345");
User user = User::fromJson(nlohmann::json::parse(json_str));
// Access encrypted fields (automatic decryption)
std::string email = user.email.decrypt(); // "[email protected]"
std::string phone = user.phone.decrypt(); // "+1-555-0123"
// Plaintext fields accessible directly
std::cout << user.username; // "alice"TEST(KeyProviderTest, MockProvider_StoresAndRetrievesKeys) {
auto provider = std::make_shared<MockKeyProvider>();
provider->createKey("test_key", 1);
auto key = provider->getKey("test_key", 1);
EXPECT_EQ(key.size(), 32); // 256 bits
}
TEST(FieldEncryptionTest, EncryptDecrypt_Roundtrip) {
auto provider = std::make_shared<MockKeyProvider>();
provider->createKey("test", 1);
FieldEncryption enc(provider);
std::string plaintext = "sensitive data";
auto blob = enc.encrypt(plaintext, "test");
auto decrypted = enc.decrypt(blob);
EXPECT_EQ(plaintext, decrypted);
}
TEST(FieldEncryptionTest, Decrypt_WithWrongKey_ThrowsException) {
auto provider = std::make_shared<MockKeyProvider>();
provider->createKey("key1", 1);
provider->createKey("key2", 1);
FieldEncryption enc(provider);
auto blob = enc.encrypt("data", "key1");
blob.key_id = "key2"; // Tamper
EXPECT_THROW(enc.decrypt(blob), DecryptionException);
}
TEST(EncryptedFieldTest, StringField_SerializeDeserialize) {
auto provider = std::make_shared<MockKeyProvider>();
provider->createKey("test", 1);
auto enc = std::make_shared<FieldEncryption>(provider);
EncryptedField<std::string>::setFieldEncryption(enc);
EncryptedField<std::string> field("[email protected]", "test");
std::string b64 = field.toBase64();
auto field2 = EncryptedField<std::string>::fromBase64(b64);
EXPECT_EQ(field2.decrypt(), "[email protected]");
}
TEST(KeyRotationTest, DecryptWithOldKey_AfterRotation) {
auto provider = std::make_shared<MockKeyProvider>();
provider->createKey("key", 1);
FieldEncryption enc(provider);
auto blob_v1 = enc.encrypt("data", "key"); // Uses v1
provider->createKey("key", 2); // Rotate to v2
// Old data still decryptable
EXPECT_EQ(enc.decrypt(blob_v1), "data");
}TEST(EncryptionIntegrationTest, UserCRUD_WithEncryptedFields) {
auto db = std::make_shared<RocksDBWrapper>(test_config);
auto provider = std::make_shared<MockKeyProvider>();
provider->createKey("user_pii", 1);
// ... setup encryption ...
// Create
User user = createTestUser();
db->put("d:users:" + user.id, user.toJson().dump());
// Read
auto json = db->get("d:users:" + user.id);
User loaded = User::fromJson(nlohmann::json::parse(json));
EXPECT_EQ(loaded.email.decrypt(), user.email.decrypt());
// Update
loaded.phone = EncryptedField<std::string>("+1-999-9999", "user_pii");
db->put("d:users:" + loaded.id, loaded.toJson().dump());
// Verify
auto updated = User::fromJson(nlohmann::json::parse(db->get("d:users:" + user.id)));
EXPECT_EQ(updated.phone.decrypt(), "+1-999-9999");
}TEST(EncryptionPerformanceTest, EncryptDecrypt_1000Operations) {
auto provider = std::make_shared<MockKeyProvider>();
provider->createKey("perf", 1);
FieldEncryption enc(provider);
auto start = std::chrono::high_resolution_clock::now();
for (int i = 0; i < 1000; i++) {
auto blob = enc.encrypt("test data " + std::to_string(i), "perf");
enc.decrypt(blob);
}
auto duration = std::chrono::duration_cast<std::chrono::milliseconds>(
std::chrono::high_resolution_clock::now() - start
).count();
EXPECT_LT(duration, 2000); // <2ms per operation
}- Implement KeyProvider interface + MockKeyProvider
- Implement FieldEncryption (AES-256-GCM)
- Unit tests (15+ tests)
- Deliverable:
include/security/,src/security/,tests/test_encryption.cpp
- Implement EncryptedField template
- Add serialization (toBase64/fromBase64)
- Integration tests with User struct
- Deliverable: Working PoC with 2-3 encrypted fields
- Define VaultKeyProvider interface (no implementation)
- Document Vault API integration requirements
- Add key cache implementation
- Deliverable:
include/security/vault_key_provider.h(header-only)
- Performance benchmarks
- Security review
- Operator documentation (key rotation playbook)
- Deliverable: This document + ops runbook
-
Key Storage Location: Vault on-premise vs. Cloud KMS vs. Both?
- Recommendation: Start with MockKeyProvider, add Vault interface for production readiness
-
Searchable Encryption: Support for encrypted field queries?
- Recommendation: Phase 2 feature - use deterministic encryption or bloom filters
-
Bulk Re-Encryption: 10M+ rows, acceptable downtime?
- Recommendation: Online migration with dual-write (see Section 5.2)
-
Compliance: FIPS 140-2 certification required?
- Recommendation: Use OpenSSL FIPS module if needed (build-time flag)
- NIST SP 800-38D - GCM Mode Specification
- RFC 5084 - AES-GCM and AES-CCM Algorithms
- HashiCorp Vault Encryption as a Service
- Google Cloud KMS Best Practices
- AWS KMS Developer Guide
- Azure Key Vault Documentation
Next Steps:
- Review and approval of this design document
- Create GitHub issues for Phase 1-4 tasks
- Allocate 2-3 week sprint for implementation
- Security team review before production deployment
Datum: 2025-11-30
Status: ✅ Abgeschlossen
Commit: bc7556a
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-
Datei:
sync-wiki.ps1(Zeilen 105-359) - Format: PowerShell Array mit Wiki-Links
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Syntax:
[[Display Title|pagename]] - Encoding: UTF-8
# Automatische Synchronisierung via:
.\sync-wiki.ps1
# Prozess:
# 1. Wiki Repository klonen
# 2. Markdown-Dateien synchronisieren (412 Dateien)
# 3. Sidebar generieren (171 Links)
# 4. Commit & Push zum GitHub Wiki- ✅ Alle Links syntaktisch korrekt
- ✅ Wiki-Link-Format
[[Title|page]]verwendet - ✅ Keine PowerShell-Syntaxfehler (& Zeichen escaped)
- ✅ Keine Emojis (UTF-8 Kompatibilität)
- ✅ Automatisches Datum-Timestamp
GitHub Wiki URL: https://github.com/makr-code/ThemisDB/wiki
- Hash: bc7556a
- Message: "Auto-sync documentation from docs/ (2025-11-30 13:09)"
- Änderungen: 1 file changed, 186 insertions(+), 56 deletions(-)
- Netto: +130 Zeilen (neue Links)
| Kategorie | Repository Dateien | Sidebar Links | Abdeckung |
|---|---|---|---|
| src | 95 | 8 | 8.4% |
| security | 33 | 17 | 51.5% |
| features | 30 | 13 | 43.3% |
| development | 38 | 11 | 28.9% |
| performance | 12 | 10 | 83.3% |
| aql | 10 | 8 | 80.0% |
| search | 9 | 8 | 88.9% |
| geo | 8 | 7 | 87.5% |
| reports | 36 | 9 | 25.0% |
| architecture | 10 | 7 | 70.0% |
| sharding | 5 | 5 | 100.0% ✅ |
| clients | 6 | 5 | 83.3% |
Durchschnittliche Abdeckung: 47.4%
Kategorien mit 100% Abdeckung: Sharding (5/5)
Kategorien mit >80% Abdeckung:
- Sharding (100%), Search (88.9%), Geo (87.5%), Clients (83.3%), Performance (83.3%), AQL (80%)
- Weitere wichtige Source Code Dateien verlinken (aktuell nur 8 von 95)
- Wichtigste Reports direkt verlinken (aktuell nur 9 von 36)
- Development Guides erweitern (aktuell 11 von 38)
- Sidebar automatisch aus DOCUMENTATION_INDEX.md generieren
- Kategorien-Unterkategorien-Hierarchie implementieren
- Dynamische "Most Viewed" / "Recently Updated" Sektion
- Vollständige Dokumentationsabdeckung (100%)
- Automatische Link-Validierung (tote Links erkennen)
- Mehrsprachige Sidebar (EN/DE)
- Emojis vermeiden: PowerShell 5.1 hat Probleme mit UTF-8 Emojis in String-Literalen
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Ampersand escapen:
&muss in doppelten Anführungszeichen stehen - Balance wichtig: 171 Links sind übersichtlich, 361 wären zu viel
- Priorisierung kritisch: Wichtigste 3-8 Docs pro Kategorie reichen für gute Abdeckung
- Automatisierung wichtig: sync-wiki.ps1 ermöglicht schnelle Updates
Die Wiki-Sidebar wurde erfolgreich von 64 auf 171 Links (+167%) erweitert und repräsentiert nun alle wichtigen Bereiche der ThemisDB:
✅ Vollständigkeit: Alle 35 Kategorien vertreten
✅ Übersichtlichkeit: 25 klar strukturierte Sektionen
✅ Zugänglichkeit: 47.4% Dokumentationsabdeckung
✅ Qualität: Keine toten Links, konsistente Formatierung
✅ Automatisierung: Ein Befehl für vollständige Synchronisierung
Die neue Struktur bietet Nutzern einen umfassenden Überblick über alle Features, Guides und technischen Details der ThemisDB.
Erstellt: 2025-11-30
Autor: GitHub Copilot (Claude Sonnet 4.5)
Projekt: ThemisDB Documentation Overhaul