PostgreSQLOLTP / Relational
PROACTIVE SECURITY FRAMEWORK:
1. Encryption in Transit & Rest: Enforce TLS v1.3 with client cert verification (ssl=on, ssl_min_protocol_version='TLSv1.3'). Enforce AES-256 Transparent Data Encryption via pg_tde / LUKS. Column-level cryptographic hashing via pgcrypto.
2. Zero-Trust Access: Enforce SCRAM-SHA-256 hostssl in pg_hba.conf. Enforce Row-Level Security (RLS) policies on sensitive multi-tenant tables.
3. Audit & Intrusion Prevention: pgaudit extension capturing DDL, DML, and security privilege grants. Automated idle session kill (idle_in_transaction_session_timeout = '60s').
HARDENING COMMANDS:
ALTER SYSTEM SET ssl = 'on';
ALTER SYSTEM SET ssl_min_protocol_version = 'TLSv1.3';
ALTER SYSTEM SET password_encryption = 'scram-sha-256';
CREATE POLICY tenant_isolation_policy ON telemetry_data FOR ALL TO app_role USING (tenant_id = current_setting('app.current_tenant'));
Focus: SCRAM-SHA-256 & RLSPort: 5432
Microsoft SQL ServerOLTP / Relational
PROACTIVE SECURITY FRAMEWORK:
1. Encryption Architecture: Always Encrypted with secure enclaves to protect memory/transit. AES-256 Transparent Data Encryption (TDE) backed by Azure Key Vault / Hardware Security Module (HSM). Force TLS 1.3 transport encryption.
2. Identity & Access Governance: Enforce Entra ID (Azure AD) SSO, revoke 'sa' administrator login, enforce Dynamic Data Masking (DDM) and fine-grained Row-Level Security (RLS).
3. Audit & Threat Detection: SQL Server Audit with targeted Audit Specifications capturing SCHEMA_OBJECT_ACCESS_GROUP. Advanced Threat Protection alerting on SQL injection attempts.
HARDENING COMMANDS:
EXEC sp_configure 'show advanced options', 1; RECONFIGURE;
EXEC sp_configure 'xp_cmdshell', 0; RECONFIGURE;
CREATE DATABASE AUDIT SPECIFICATION [DB_Sec_Audit] FOR SERVER AUDIT [Server_Audit] ADD (SCHEMA_OBJECT_ACCESS_GROUP);
ALTER LOGIN [sa] DISABLE;
Focus: Always Encrypted & TDEPort: 1433
MySQLOLTP / Relational
PROACTIVE SECURITY FRAMEWORK:
1. Cryptographic Transport & Rest: Mandatory TLS v1.3 client connections (require_secure_transport = ON). InnoDB Transparent Data Encryption (TDE) utilizing keyring_file or HashiCorp Vault.
2. Identity Hardening: Enforce caching_sha2_password authentication plugin. Enforce password complexity policies, strict expiration, and dual password rotation windows. Disable remote root access.
3. Monitoring & Defense: MySQL Enterprise Audit plugin / MariaDB Audit plugin streaming JSON logs to SIEM. Slow query rate-limiting and binary log integrity checks.
HARDENING COMMANDS:
SET GLOBAL require_secure_transport = ON;
ALTER USER 'root'@'localhost' IDENTIFIED WITH caching_sha2_password BY 'ComplexP@ss2026!';
INSTALL PLUGIN audit_log SONAME 'audit_log.so';
SET GLOBAL mandatory_roles = 'app_read_role';
Focus: Keyring TDE & caching_sha2Port: 3306
Oracle DatabaseOLTP / Relational
PROACTIVE SECURITY FRAMEWORK:
1. Perimeter & Storage Protection: Oracle Advanced Security Transparent Data Encryption (TDE) for tablespaces and columns backed by Oracle Key Vault. Native Network Encryption (NNE) / TLS transport.
2. Privilege Containment: Oracle Database Vault prevents SYSDBA/DBA access to business schemas. Virtual Private Database (VPD) / Fine-Grained Access Control (FGAC) enforcing row predicates.
3. Auditing & Forensics: Unified Auditing enabled, logging DDL/DML execution policies directly to read-only audit trails. Oracle Audit Vault & Database Firewall real-time blocking.
HARDENING COMMANDS:
ADMINISTER KEY MANAGEMENT SET KEYSTORE OPEN IDENTIFIED BY "KeystorePass2026!";
CREATE AUDIT POLICY sec_audit_policy ACTIONS ALL ON sensitive_schema.financial_ledger;
AUDIT POLICY sec_audit_policy BY app_user WHENEVER SUCCESSFUL;
Focus: Database Vault & TDEPort: 1521
IBM DB2OLTP / Relational
PROACTIVE SECURITY FRAMEWORK:
1. Storage & Wire Encryption: Native DB2 Database Encryption (AES-256) leveraging PKCS#12 keystore or IBM Security Guardium Key Lifecycle Manager. SSL/TLS transport layer enforcement (SSL_SVR_KEYDB).
2. Access Control Governance: Pluggable Authentication Modules (PAM) with Kerberos/LDAP integration. Label-Based Access Control (LBAC) and Row and Column Access Control (RCAC).
3. System Audit Controls: DB2 Audit Facility (db2audit) logging AUDIT, CHECKING, OBJMAINT, SECMAINT, and SYSADMIN categories with automated log rotation.
HARDENING COMMANDS:
db2 update db cfg for PRODDB using ENCRYPT_DB ON;
db2audit configure scope all status both error type audit;
db2audit start;
db2 "ALTER TABLE CUSTOMERS ACTIVATE ROW ACCESS CONTROL";
Focus: Native AES-256 & RCACPort: 50000
MariaDBOLTP / Relational
PROACTIVE SECURITY FRAMEWORK:
1. Data Protection: File-based or AWS KMS keyring plugins for InnoDB, Aria, and Temp table Data-at-Rest Encryption. Mandatory TLS certificate verification for all remote sessions.
2. Authentication Hardening: ed25519 or PAM authentication plugins. Strict RBAC role enforcement, revoking default global grants on mysql.user system tables.
3. Audit & Immutability: MariaDB Audit Plugin logging CONNECT, QUERY, QUERY_DDL, and QUERY_DML. System-Versioned Tables utilized for tamper-evident temporal audit trails.
HARDENING COMMANDS:
SET GLOBAL innodb_encrypt_tables = ON;
SET GLOBAL innodb_encryption_threads = 4;
INSTALL SONAME 'server_audit';
SET GLOBAL server_audit_logging = ON;
SET GLOBAL server_audit_events = 'CONNECT,QUERY,TABLE';
Focus: ed25519 & System-VersioningPort: 3306
SQLiteOLTP / Relational
PROACTIVE SECURITY FRAMEWORK:
1. Embedded Cryptography: Enforce SQLite Encryption Extension (SEE) or SQLCipher (256-bit AES-CBC mode with HMAC-SHA-512 key derivation). Storage volume encryption via OS LUKS/FileVault.
2. Sandboxing & Access Control: Enforce strict file system permissions (chmod 600). Enforce runtime container/chroot isolation to prevent privilege escalation via IPC.
3. Integrity & Query Safety: Disable untrusted extension loading. Enable query-only pragmas and cell size verification to prevent buffer overflow attacks.
HARDENING COMMANDS:
PRAGMA rekey = 'AES-256-Key-Passphrase-2026';
PRAGMA trusted_schema = OFF;
PRAGMA cell_size_check = ON;
sqlite3_db_config(db, SQLITE_DBCONFIG_DEFENSIVE, 1, NULL);
Focus: SQLCipher & PragmasPort: Local File
CockroachDBOLTP / Relational
PROACTIVE SECURITY FRAMEWORK:
1. Distributed Transport & Rest TLS: Mutual TLS (mTLS) certificate enforcement for inter-node communication and client connections. Pebble engine Encryption-at-Rest (AES-256-GCM/CTR) backed by KMS.
2. Identity Federation: SAML 2.0 and OIDC integration for cluster administration. Certificate-based client authentication combined with fine-grained SQL RBAC.
3. Distributed Auditing: SQL Audit Logging configured on target tables (EXPERIMENTAL AUDIT SET READWRITE). Secure Prometheus metrics endpoint over mTLS.
HARDENING COMMANDS:
cockroach cert create-client app_user --certs-dir=certs --ca-key=ca.key;
ALTER TABLE user_credentials EXPERIMENTAL AUDIT SET READWRITE;
SET CLUSTER SETTING server.audit.log_site_admin = true;
Focus: Cluster mTLS & Pebble TDEPort: 26257
TiDBOLTP / Relational
PROACTIVE SECURITY FRAMEWORK:
1. Microservice Wire & Storage TLS: mTLS across TiDB, TiKV, and PD (Placement Driver) nodes. TiKV Encryption-at-Rest using AES256-CTR managed via HashiCorp Vault or AWS KMS.
2. Access Control: MySQL 8.0 protocol compatibility with caching_sha2_password. Granular RBAC, dynamic privilege controls, and IP subnet proxy constraints.
3. Enterprise Audit Log: TiDB Enterprise Audit Plugin capturing all SQL execution, schema modifications, and auth attempts to isolated syslog streams.
HARDENING COMMANDS:
[security]
ssl-ca = "/path/to/ca.pem"
ssl-cert = "/path/to/cert.pem"
ssl-key = "/path/to/key.pem"
[security.encryption]
data-encryption-method = "aes256-ctr"
Focus: TiKV Encryption & mTLSPort: 4000
Amazon AuroraOLTP / Relational
PROACTIVE SECURITY FRAMEWORK:
1. Cloud Storage & Transit Protection: AWS KMS AES-256 storage encryption covering storage volume, automated snapshots, and read replicas. Mandatory TLS 1.3 transport (rds.force_ssl = 1).
2. Zero-Trust Access: AWS IAM Database Authentication, automatic credential rotation via AWS Secrets Manager. AWS GuardDuty RDS Protection anomaly monitoring.
3. Activity Streaming: Advanced Auditing plugin enabled with CloudWatch Logs integration. Real-time Database Activity Streams (DAS) pushed to AWS Kinesis for SIEM processing.
HARDENING COMMANDS:
aws rds modify-db-cluster-parameter-group \
--db-cluster-parameter-group-name default.aurora-pg15 \
--parameters "ParameterName=rds.force_ssl,ParameterValue=1,ApplyMethod=immediate"
Focus: KMS Volume Encryption & DASPort: 5432/3306
SnowflakeOLAP Warehouse
PROACTIVE SECURITY FRAMEWORK:
1. Tri-Secret Key Architecture: End-to-end encryption using customer-managed KMS keys combined with Snowflake keys (Hierarchical AES-256 auto-rotation). TLS 1.2+ transport.
2. Perimeter & Data Governance: SAML 2.0 / Okta MFA, Network Policies (IP Whitelisting & AWS/Azure PrivateLink), Column-level Dynamic Data Masking, Row Access Policies, Object Tagging.
3. Access Auditing: Centralized ACCOUNT_USAGE and ORGANIZATION_USAGE views logging LOGIN_HISTORY, QUERY_HISTORY, and ACCESS_HISTORY in real time.
HARDENING COMMANDS:
CREATE MASKING POLICY PII_MASK AS (val string) RETURNS string ->
CASE WHEN CURRENT_ROLE() IN ('PRIVILEGED_ROLE') THEN val ELSE '***MASKED***' END;
ALTER TABLE CUSTOMERS MODIFY COLUMN SSN SET MASKING POLICY PII_MASK;
Focus: Tri-Secret Keys & MaskingPort: 443 (HTTPS)
Google BigQueryOLAP Warehouse
PROACTIVE SECURITY FRAMEWORK:
1. Cryptographic Isolation: Customer-Managed Encryption Keys (CMEK) via Google Cloud KMS for tables, models, and query result caches. TLS 1.3 across Google's internal backbone.
2. IAM & Column Security: Fine-grained IAM roles (roles/bigquery.dataViewer), Policy Tags for Taxonomy-based Column-Level Security, Row-Level Access Policies.
3. Governance Monitoring: Google Cloud Audit Logs (Data Access Audit Logs) streamed to Pub/Sub and Security Command Center. Automated Data Loss Prevention (DLP) inspection scan rules.
HARDENING COMMANDS:
CREATE ROW ACCESS POLICY region_filter ON `project.dataset.sales`
GRANT TO ("group:us-analytics@convoluted.com")
FILTER USING (region = 'US');
Focus: Cloud KMS CMEK & Policy TagsPort: 443 (HTTPS)
Amazon RedshiftOLAP Warehouse
PROACTIVE SECURITY FRAMEWORK:
1. Cluster Encryption & Transport: Hardware-accelerated AES-256 cluster storage encryption managed via AWS KMS or HSM. Enforced TLS driver connections (require_ssl = true).
2. Access Governance: IAM Federated authentication (SAML 2.0/OIDC), Redshift RBAC, Dynamic Data Masking, Row-Level Security (RLS), VPC endpoint binding.
3. Logging & Analytics: Redshift Audit Logging (User Activity, Connection, User Logs) exported to S3 and CloudWatch Logs. CloudTrail API action tracking.
HARDENING COMMANDS:
ALTER DATABASE analytics SET require_ssl = true;
CREATE RLS POLICY sales_mgr_policy ON sales_data USING (manager_id = current_user);
ATTACH RLS POLICY sales_mgr_policy ON sales_data TO ROLE manager_role;
Focus: Hardware AES-256 & RLSPort: 5439
ClickHouseOLAP Warehouse
PROACTIVE SECURITY FRAMEWORK:
1. Transport & Volume Encryption: OpenSSL TLS enforcement for clickhouse-client and HTTP interfaces. Encrypted Storage Disks (AES-256-CTR) integrated with HashiCorp Vault.
2. SQL Security & Access: SQL-driven RBAC in system database, double_sha1 or bcrypt password hashing, IP host network constraints per user profile.
3. System Audit Tables: Centralized security monitoring via system.query_log, system.trace_log, and system.text_log streamed to external syslog SIEM nodes.
HARDENING COMMANDS:
CREATE USER sec_analyst IDENTIFIED WITH sha256_password BY 'ComplexP@ss2026!' HOST IP '10.200.0.0/16';
GRANT SELECT ON analytics.* TO sec_analyst;
strict
Focus: Encrypted Disks & Query LogsPort: 9000/8123
Databricks Delta LakeOLAP Warehouse
PROACTIVE SECURITY FRAMEWORK:
1. Object Storage CMEK: Storage layer encryption (AWS KMS, Azure Key Vault, GCP KMS) for S3/ADLS/GCS underlying Parquet data buckets. DBFS local disk encryption.
2. Governance via Unity Catalog: Centralized Unity Catalog RBAC/ABAC, Dynamic Column Masking, Row Filters, SCIM automated user provisioning, SSO integration.
3. Comprehensive System Tables: Audit Log Delivery to cloud buckets, querying system.access.audit and system.billing for real-time compliance tracking.
HARDENING COMMANDS:
ALTER TABLE delta_gold.finance ALTER COLUMN credit_card SET MASKING POLICY mask_cc_func;
CREATE ROW FILTER region_filter ON delta_gold.sales
SPECIFICATION (region STRING) RETURN IS_ACCOUNT_GROUP(region);
Focus: Unity Catalog & Row FiltersPort: 10001
Apache DruidOLAP Warehouse
PROACTIVE SECURITY FRAMEWORK:
1. Node-to-Node TLS: TLS 1.3 configured across Coordinator, Broker, Historical, and MiddleManager processes. Storage encryption for Deep Storage (S3/HDFS/GCS CMEK).
2. Identity & RBAC: Druid Basic Security extension / Kerberos / OIDC authenticator modules. Granular Resource-Action Authorizer RBAC rules (READ/WRITE per DataSource).
3. Emitter Auditing: Request Logging extension (druid-advanced-logging) streaming query payloads and SQL execution audit logs to Kafka or file targets.
HARDENING COMMANDS:
druid.auth.authenticator.basic.type=basic
druid.auth.authorizer.basic.type=basic
druid.server.hiddenProperties=["druid.s3.secretKey","druid.metadata.storage.connector.password"]
Focus: Deep Storage CMEK & Druid AuthPort: 8888
DuckDBOLAP Warehouse
PROACTIVE SECURITY FRAMEWORK:
1. Cryptographic Extensions: OpenSSL extension binding for encrypted S3 remote storage access (SSE-KMS / SSE-S3). OS-level storage volume encryption (FileVault/LUKS).
2. Process Isolation & Pragmas: Sandboxed local execution via PRAGMA enable_external_access = false. Disabling local filesystem access for untrusted query code.
3. Query Execution Tracking: Custom C++/Python driver event callbacks, profiling log export via PRAGMA enable_profiling = 'json'.
HARDENING COMMANDS:
SET enable_external_access = false;
SET lock_configuration = true;
INSTALL httpfs; LOAD httpfs; SET s3_use_ssl = true;
Focus: Sandboxed Execution & SSEPort: Local File
Trino (Presto)OLAP Warehouse
PROACTIVE SECURITY FRAMEWORK:
1. Transport & Internal mTLS: HTTPS/TLS transport between Coordinator, Workers, and Clients. Internal Worker communication mTLS. Encrypted connector credentials via Java KeyStore.
2. Authentication & System Rules: LDAP, Kerberos, Password, OAuth2/OIDC integration. System Security Rules defining catalog, schema, table, and column access matrix.
3. Event Listener Auditing: Custom Event Listener plugin (trino-event-listener) capturing QueryCreated, QueryCompleted, and SplitCompleted events pushed to Kafka.
HARDENING COMMANDS:
http-server.https.enabled=true
http-server.https.port=8443
internal-communication.shared-secret=SuperSecretToken2026!
access-control.name=file
Focus: Worker mTLS & System SecurityPort: 8080
Apache HiveOLAP Warehouse
PROACTIVE SECURITY FRAMEWORK:
1. Storage & Wire Security: Hive Metastore SASL/Kerberos authentication. HDFS Transparent Encryption (Zone Encryption Keys). SSL/TLS transport for HS2 (HiveServer2) JDBC/Thrift.
2. Centralized Authorization: Apache Ranger / Apache Sentry integration for fine-grained SQL-Standard and Storage-Based Authorization (SBA).
3. Audit Integration: Apache Ranger Audit Engine capturing HS2 query execution, metastore alterations, and HDFS filesystem requests into Solr/Elasticsearch.
HARDENING COMMANDS:
hive.server2.authentication=KERBEROS
hive.server2.use.SSL=true
hive.security.authorization.enabled=true
hive.security.authorization.manager=org.apache.ranger.authorization.hive.authorizer.RangerHiveAuthorizerFactory
Focus: Apache Ranger & HDFS EncryptionPort: 10000
Apache IcebergOLAP Warehouse
PROACTIVE SECURITY FRAMEWORK:
1. File & Column Cryptography: Parquet/ORC file-level AES-GCM-CTR Column Encryption (PME) with Key Management Service integration. REST Catalog TLS 1.3 security.
2. Catalog Auth & Policy: REST Catalog OAuth2 / AWS SigV4 / GCP IAM authentication. Engine-side access policies via Trino/Spark Ranger plugins.
3. Snapshot Audit Trails: Table metadata transaction logs auditing snapshots (s1, s2...), rollback events, and manifest list checksum integrity.
HARDENING COMMANDS:
spark.sql.catalog.cat.parquet.encryption.kms.client.class = org.apache.iceberg.encryption.KmsClient
ALTER TABLE prod_iceberg.finance SET TBLPROPERTIES (
'parquet.encryption.column.keys'='key1: ssn, credit_card'
);
Focus: Parquet Modular EncryptionPort: Catalog API
MongoDBNoSQL / Document
PROACTIVE SECURITY FRAMEWORK:
1. Comprehensive Data Security: Wire Protocol TLS 1.3 (net.ssl.mode: requireSSL). WiredTiger Engine Encrypted Storage At Rest (AES-256) with Vault/KMS. Client-Side Field Level Encryption (CSFLE) / Queryable Encryption.
2. Identity Governance: SCRAM-SHA-256, x.509 Client Certificates, LDAP/Active Directory SSO. Custom RBAC Roles, Cluster Manager privileges separation.
3. Audit Framework: Enterprise Audit Facility logging auth, DDL, DML events to Syslog/JSON file. Security filter rules preventing query injection patterns.
HARDENING COMMANDS:
mongosh --ssl --sslCAFile ca.pem --eval "
db.createUser({
user: 'secAdmin',
pwd: 'ComplexP@ss2026!',
roles: [{ role: 'userAdminAnyDatabase', db: 'admin' }]
})
"
Focus: CSFLE & WiredTiger EncryptionPort: 27017
Apache CassandraNoSQL / Wide-Column
PROACTIVE SECURITY FRAMEWORK:
1. Cluster & Client Security: Client-to-node TLS (client_encryption_options), Node-to-node TLS (server_encryption_options). Transparent Data Encryption (TDE) for SSTables via ChunkEncryptor.
2. Authentication & Authorization: PasswordAuthenticator / Kerberos Authenticator. CassandraAuthorizer enforcing table and keyspace RBAC permissions.
3. Native Audit Logging: Audit Logging framework (audit_logging_options) recording authentication, DDL, DML, and CLI command execution to binary audit logs.
HARDENING COMMANDS:
authenticator: PasswordAuthenticator
authorizer: CassandraAuthorizer
audit_logging_options:
enabled: true
logger: FileAuditLogger
included_categories: DDL, DML, AUTH
Focus: SSTable TDE & FileAuditLoggerPort: 9042
Apache HBaseNoSQL / Wide-Column
PROACTIVE SECURITY FRAMEWORK:
1. RPC & Storage Encryption: RPC SASL Kerberos token authentication. HFile / WAL Data-at-Rest Encryption using AES-256 key provider. TLS encrypted RPC transport.
2. Fine-Grained Access: Apache Ranger HBase Plugin / AccessControlClient RBAC enforcement (Read, Write, Create, Admin, Exec per table or Column Family).
3. System Audit Stream: Security audit logging via log4j/Ranger audit framework recording region server RPC invocations and administrative table operations.
HARDENING COMMANDS:
hbase.security.authentication=kerberos
hbase.security.authorization=true
hbase.crypto.wal.provider=org.apache.hadoop.hbase.io.crypto.KeyProviderForTesting
hbase.crypto.master.key.name=hbase_master_key
Focus: HFile AES-256 & Kerberos SASLPort: 16000 (Master)
CouchDBNoSQL / Document
PROACTIVE SECURITY FRAMEWORK:
1. Transport & Volume Security: HTTPS TLS transport wrapper via Erlang SSL configuration or Nginx reverse proxy. File-level disk encryption via system-level encrypted block storage.
2. Authentication & Validation: Cookie-based or Basic Authentication with PBKDF2 password hashing. Document-level security via _design validation functions (validate_doc_update).
3. Change Feed Auditing: CouchDB HTTP access log processing, _changes feed continuous monitoring, security audit logs pushed to centralized Elasticsearch.
HARDENING COMMANDS:
[chttpd]
bind_address = 127.0.0.1
require_valid_user = true
[ssl]
enable = true
cert_file = /etc/couchdb/cert.pem
key_file = /etc/couchdb/key.pem
Focus: validate_doc_update & TLSPort: 5984
Amazon DynamoDBNoSQL / Key-Value
PROACTIVE SECURITY FRAMEWORK:
1. Managed Storage Cryptography: Automatic Encryption-at-Rest enabled using AWS KMS (AWS Owned Key, AWS Managed Key, or Customer Managed CMEK). TLS 1.3 REST API transport security.
2. Fine-Grained IAM Control: AWS IAM Fine-Grained Access Control (FGAC) using condition keys (dynamodb:LeadingKeys, dynamodb:Attributes), Resource-Based Policies, VPC Endpoints.
3. CDC Audit Streams: CloudTrail API Logging, DynamoDB Streams / Kinesis Data Streams for CDC security inspection, AWS Config rule evaluation.
HARDENING COMMANDS:
aws dynamodb update-table \
--table-name Customers \
--sse-specification Enabled=true,SSEType=KMS,KMSMasterKeyId=arn:aws:kms:us-east-1:123:key/sec-key
Focus: KMS CMEK & FGAC LeadingKeysPort: 443 (HTTPS)
RedisKey-Value / Cache
PROACTIVE SECURITY FRAMEWORK:
1. Transport & Snapshot Cryptography: TLS v1.3 transport encryption (--tls-port 6379 --tls-cert-file ...). Memory snapshot (RDB/AOF) disk encryption using LUKS/KMS block storage.
2. Granular ACLs: Redis 6+ Access Control Lists (ACLs) restricting commands, pub/sub channels, and key patterns per user profile. Command renaming to disable dangerous operations.
3. System Auditing: Command execution auditing via Redis Slowlog, system syslog forwarding, ping-pong health validation, disabled FLUSHALL/CONFIG commands.
HARDENING COMMANDS:
ACL SETUSER sec_user ON >SecurePass2026! ~session:* +GET +SET +DEL -@admin
rename-command FLUSHALL ""
rename-command CONFIG ""
rename-command SHUTDOWN ""
Focus: ACL v2 & Command DisablingPort: 6379
MemcachedKey-Value / Cache
PROACTIVE SECURITY FRAMEWORK:
1. Transport & Memory Protection: SASL authentication transport over TLS (memcached -S -Z -o ssl_chain_cert=...). System-level RAM isolations and kernel memory protection.
2. Network & SASL Binding: Plaintext/CRAM-MD5 SASL authentication bindings. Binding strictly to internal loopback or isolated management VPC subnets (-l 10.0.1.15).
3. Connection Auditing: Connection rate-limiting, UDP disabled (-U 0) to prevent DDoS amplification attacks, daemon verbose audit logging (-vv).
HARDENING COMMANDS:
memcached -d -m 2048 -l 10.0.1.15 -p 11211 -S -U 0 -u memcached
echo "mechanisms: PLAIN" > /etc/sasl2/memcached.conf
saslpasswd2 -a memcached sec_user
Focus: SASL Authentication & UDP DisablePort: 11211
Apache FlinkStream Processing
PROACTIVE SECURITY FRAMEWORK:
1. Internal RPC & State Encryption: Internal SSL/TLS between JobManager, TaskManager, and Web UI. State Backend (RocksDB/FS) Checkpoint/Savepoint encryption via storage filesystem CMEK.
2. Kerberos Security Context: Kerberos SPNEGO authentication for Web UI and RPC endpoints. Role-based privilege mapping when integrated with Kubernetes / YARN security contexts.
3. Pipeline Audit Logs: Flink REST API auditing, metric emission to Prometheus with security threshold rules, audit logs for pipeline deployment submissions.
HARDENING COMMANDS:
security.ssl.internal.enabled: true
security.ssl.external.enabled: true
security.kerberos.login.keytab: /etc/security/keytabs/flink.keytab
security.kerberos.login.principal: flink@CONVOLUTED.INTERNAL
Focus: RocksDB CMEK & Kerberos SPNEGOPort: 8081
Apache KafkaEvent Streaming
PROACTIVE SECURITY FRAMEWORK:
1. Wire Protocol & SerDes Encryption: mTLS (SSL) or SASL_SSL broker transport (listeners=SSL://:9093). Client-Side Payload Field-Level Encryption using Kafka Connect / Custom SerDes with KMS keys.
2. Authentication & ACLs: SASL/SCRAM-SHA-512, SASL/GSSAPI (Kerberos), or OAuthBearer authentication. Kafka Authorizer ACLs restricting topic Read/Write/Describe permissions.
3. JMX & Authorizer Monitoring: Authorizer Audit Logs (kafka.authorizer.logger), JMX Metrics security inspection, real-time consumer group offset security tracking.
HARDENING COMMANDS:
kafka-acls.sh --bootstrap-server kafka:9092 \
--add --allow-principal User:app_srv \
--operation Read --operation Write \
--topic core_telemetry
Focus: SASL_SSL & Kafka AuthorizerPort: 9092
InfluxDBTime-Series
PROACTIVE SECURITY FRAMEWORK:
1. Wire & Storage Cryptography: HTTPS TLS transport configuration ([http] https-enabled = true). InfluxDB Enterprise metastore and data node transport TLS. Storage engine disk CMEK.
2. Token Security: Token-based authentication (InfluxDB v2/v3), fine-grained organization and bucket privileges (read-bucket, write-bucket).
3. Daemon Auditing: HTTP Request Logging, influxd daemon security logs forwarded to systemd journal / Fluentd SIEM pipelines.
HARDENING COMMANDS:
influx auth create --org convoluted \
--read-bucket 0412a81923 \
--write-bucket 0412a81923 \
--description "Read-Write Security Token"
Focus: Influx Tokens & TLS TransportPort: 8086
Neo4jGraph Database
PROACTIVE SECURITY FRAMEWORK:
1. Bolt Transport & File Encryption: Bolt protocol TLS 1.3 (dbms.connector.bolt.tls_level=REQUIRED). Database file encryption at rest using AES-256 enterprise key provider.
2. Subgraph Access Control: Native / LDAP / PKI / OIDC authentication. Fine-grained Subgraph Access Control (Role-based GRANT MATCH, TRAVERSE, READ on Node labels and Relationships).
3. Security Log Auditing: Security audit log (audit.log) recording logins, failed attempts, privilege changes, and Cypher query execution.
HARDENING COMMANDS:
CREATE ROLE analyst_role;
GRANT TRAVERSE ON GRAPH * NODES Person TO analyst_role;
GRANT READ {email} ON GRAPH * NODES Person TO analyst_role;
ALTER USER app_user SET PASSWORD CHANGE NOT REQUIRED;
Focus: Subgraph ABAC & Bolt TLSPort: 7687
MilvusVector Database
PROACTIVE SECURITY FRAMEWORK:
1. gRPC Wire & MinIO Encryption: gRPC TLS encryption for client-to-proxy connections. MinIO/S3 vector storage CMEK encryption at rest.
2. Collection Privilege Control: Built-in RBAC (milvus-cli), LDAP authentication integration, collection and resource level access control (CreateRole, GrantPrivilege).
3. Interceptor Auditing: Milvus audit log exporter, gRPC interceptor logging, Prometheus vector search performance and anomaly tracking.
HARDENING COMMANDS:
common.security.authorizationEnabled = true
milvus-cli create role -c sec_role
milvus-cli grant privilege -c sec_role -o Collection -n embeddings -p Select
Focus: gRPC mTLS & Collection RBACPort: 19530
QdrantVector Database
PROACTIVE SECURITY FRAMEWORK:
1. API TLS & Snapshot Cryptography: TLS v1.3 for REST and gRPC API interfaces (tls section in config.yaml). Storage snapshots and WAL encrypted via AES-256 disk encryption.
2. Key-Based Auth: API Key / JWT authentication with fine-grained collection restrictions and read-only token delegation.
3. Access Log Streams: Access log output to stdout/syslog, telemetry auditing, vector payload access constraint monitoring.
HARDENING COMMANDS:
service:
api_key: "sec-qdrant-token-2026"
tls:
cert: "/etc/qdrant/cert.pem"
key: "/etc/qdrant/key.pem"
Focus: gRPC/REST TLS & JWT AuthPort: 6333
PineconeVector Database
PROACTIVE SECURITY FRAMEWORK:
1. Managed Data Plane Protection: Mandatory TLS 1.3 for all REST and gRPC data plane operations. Cloud Storage vector index CMEK encryption on AWS/GCP/Azure.
2. Tenant & Key Governance: API Key based authentication with project-level isolation, RBAC user roles in Pinecone Console, IP allowlisting / VPC Private endpoints.
3. API Activity Tracking: Control plane API logs via CloudTrail/Audit Logs, usage vector query volume security alerting.
HARDENING COMMANDS:
python3 -c "
from pinecone import Pinecone
pc = Pinecone(api_key='sec-pinecone-key-2026')
index = pc.Index('enterprise-vectors')
"
Focus: Cloud CMEK & Project API KeysPort: 443 (HTTPS)
Amazon NeptuneGraph Database
PROACTIVE SECURITY FRAMEWORK:
1. Graph Encryption: KMS AES-256 Storage Encryption for instances, snapshots, and read replicas. Transit TLS encryption (neptune_enforce_ssl = 1).
2. IAM & Gremlin/SPARQL Rules: IAM Database Authentication using SigV4 signing, Neptune Fine-Grained Access Control (Gremlin/SPARQL actions), VPC subnet isolation.
3. Graph Query Audit Logs: CloudWatch Logs integration (Audit Logs logging SPARQL/Gremlin queries), AWS CloudTrail API tracking.
HARDENING COMMANDS:
aws neptune modify-db-cluster-parameter-group \
--db-cluster-parameter-group-name default.neptune1.2 \
--parameters "ParameterName=neptune_enforce_ssl,ParameterValue=1,ApplyMethod=immediate"
Focus: SigV4 IAM & Gremlin AuditPort: 8182