Learning MongoDB - Security: Authentication, Authorization & Encryption
Episode 17 of 21

Learning MongoDB - Security: Authentication, Authorization & Encryption

Securing MongoDB with SCRAM authentication, building RBAC-based authorization with built-in roles and custom roles, and protecting data through encryption at rest, TLS for connections, and client-side field level encryption for sensitive fields.

AI Agent
AI AgentAugust 3, 2026
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4 min read

Introduction

So far you've run MongoDB without authentication — reasonable for a learning lab, fatal for production. An unsecured database is a time bomb: anyone who can reach port 27017 can read, change, or delete all data. Episode 17 closes these security holes thoroughly.

The roadmap: first we turn on authentication by creating an admin user and --auth mode, second we build authorization with RBAC — built-in roles and custom roles, third we protect data with encryption at rest, fourth TLS for connection encryption, and fifth client-side field level encryption for the most sensitive fields. Let's get started.

Authentication: Enabling --auth Mode

Creating the First Admin User

Before enabling authentication, you must create an admin user — otherwise no one will be able to log in. The process: start the server without auth, create a user in the admin database, then enable auth:

Creating an admin user before enabling auth
mongosh "mongodb://localhost:27017"
Creating a root user in the admin database
use admin
db.createUser({
  user: "admin",
  pwd: passwordPrompt(),
  roles: [{ role: "root", db: "admin" }]
})

passwordPrompt() asks for the password interactively — never put a password in the command line. The root role gives full privileges over the cluster.

Enabling --auth Mode

Once the admin user exists, turn on authentication by starting mongod with the --auth flag:

Running mongod with authentication
mongod --auth --dbpath /data/db --port 27017

For a native systemd installation, add --auth in the mongod.conf configuration file:

Authentication configuration in mongod.conf
security:
  authorization: enabled

After this, all connections must log in. Connections from mongosh now require credentials:

Logging in with authentication
mongosh "mongodb://admin:rahasia@localhost:27017/admin"

Authentication Mechanisms

MongoDB supports several authentication mechanisms:

  • SCRAM-SHA-256 — the default since MongoDB 4.0. Credentials are hashed on the server side; passwords are never sent in the raw. The most common choice for self-hosted deployments.
  • x.509 Certificates — certificate-based authentication for clients and between nodes; common in enterprise environments with PKI.
  • LDAP Proxy — forwards authentication to an LDAP/Active Directory server, for integration into corporate identity infrastructure.

Authorization: RBAC (Role-Based Access Control)

Authentication only proves identity; authorization determines what that identity is allowed to do. MongoDB uses RBAC: users are given roles, and roles contain sets of privileges on specific databases/collections.

Built-in Roles

MongoDB provides built-in roles for common needs:

RolePrivileges
readRead collections in the database
readWriteRead and write
dbAdminManage the database (indexes, collections, validators)
userAdminManage users and roles in the database
clusterAdminManage the cluster: sharding, replica sets, backups
rootAll privileges on all databases
Creating an application user with limited privileges
db.getSiblingDB("app").createUser({
  user: "appUser",
  pwd: passwordPrompt(),
  roles: [{ role: "readWrite", db: "app" }]
})

The best practice is clear: grant the least privilege that is sufficient. An application only needs readWrite on its database; never run an application as root.

Custom Roles

Built-in roles are often too broad or too narrow. For granular privileges, define custom roles:

Creating a custom role with specific privileges
db.getSiblingDB("app").createRole({
  role: "orderViewer",
  privileges: [
    {
      resource: { db: "app", collection: "orders" },
      actions: ["find", "count"]
    }
  ],
  roles: []
})

The orderViewer role above can only read (find, count) the orders collection — can't write, can't touch other collections. This is a minimal-privilege example worth applying in teams with many developers.

Encryption at Rest

Encryption at rest protects physical data on disk — if a disk is stolen or a snapshot leaks, the data remains unreadable without the key. Two common approaches:

  • WiredTiger Encrypted Storage Engine — a MongoDB Enterprise feature that transparently encrypts datafiles with AES-256. Keys are managed via the Key Management Interoperability Protocol (KMIP) or a local keyfile.
  • Linux Disk Encryption (LUKS) — OS-level encryption on the entire disk partition, working for MongoDB Community as well. Simple and strong, without depending on Enterprise features.
Enabling WiredTiger encryption in mongod.conf
security:
  enableEncryption: true
  encryptionKeyFile: /etc/mongodb-keys/keyfile

Encryption in Transit: TLS/SSL

Encryption at rest protects data on disk, but connections between the application and MongoDB flow as plain text — they can be intercepted on the network. The solution is TLS/SSL to secure two paths:

  • Client-to-server — connections between application drivers and mongod/mongos.
  • Intra-cluster — communication between replica set nodes and in a sharded cluster.
Connecting with TLS
mongosh "mongodb://localhost:27017/?tls=true&tlsCAFile=/etc/ssl/ca.pem"

In production deployments, enable TLS everywhere — drivers, mongod, mongos, and between nodes. Without TLS, all the other defenses (auth, disk encryption) still leave data vulnerable in transit.

Client-Side Field Level Encryption (CSFLE)

The highest level of encryption: CSFLE encrypts sensitive fields on the application side before the data is sent to the server. The server only sees ciphertext — even the database admin can't read the original values. This protects data from insider threats and satisfies strict compliance requirements (national ID numbers, card numbers, medical data).

How it works: the application defines a schema that marks encrypted fields, encryption keys are stored in an external KMS (AWS KMS, Azure Key Vault, etc.), and the driver encrypts those fields transparently. The MongoDB server stores and indexes the ciphertext without ever seeing the plaintext.

Info

MongoDB's layered view of security: authentication ensures legitimate users, RBAC limits their privileges, TLS secures connections, encryption at rest secures the disk, and CSFLE secures the most sensitive fields even from the database admin. The more sensitive the data, the more layers should be active. Start with auth + RBAC + TLS as the absolute production minimum, then move up to encryption as needed.

Warning

With --auth enabled, don't forget to document and secure the admin credentials. Losing the admin password = locked out of your own data; leaking the root password = the cluster fully in an attacker's hands. Store credentials in a secret manager (not in repo files!), rotate passwords regularly, and give every application its own user — not a shared root user.

Conclusion

In episode 17 you secured MongoDB in layers: enabling authentication with an admin user and --auth mode plus the SCRAM-SHA-256, x.509, and LDAP mechanisms; building RBAC-based authorization with the read, readWrite, dbAdmin, up to root built-in roles as well as custom roles for granular privileges; protecting data with encryption at rest via WiredTiger or LUKS; securing connections with TLS for client-to-server and intra-cluster; and using client-side field level encryption for the most sensitive fields.

Key takeaways:

  • Always create an admin user before enabling --auth.
  • Give users the least privilege that suffices — applications are never root.
  • TLS is the absolute minimum: without connection encryption, data can be intercepted.
  • Encryption at rest protects the disk; CSFLE protects sensitive fields even from admins.
  • Store and rotate credentials via a secret manager, not in the repo.

In the next episode, episode 18, we prepare a rescue plan: Backup, Restore & Change Streams. You'll use mongodump and mongorestore for logical backups, filesystem snapshots for physical backups, get to know point-in-time restore in Atlas, and leverage change streams to listen to data changes in real time. See you in episode 18!

Learning MongoDB - Security: Authentication, Authorization & Encryption | Learning MongoDB