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Data Encryption Plan Template for PMs

A structured template for planning data encryption at rest and in transit with key management, algorithm selection, rotation policies, and compliance...

By Tim Adair• Last updated 2026-03-05
Data Encryption Plan Template for PMs preview

Data Encryption Plan Template for PMs

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What This Template Is For

Encryption is the last line of defense when everything else fails. If an attacker gets past your firewall, bypasses your access controls, and reaches your database, encryption determines whether they get usable data or meaningless ciphertext. But encryption only works when it is implemented consistently across every layer of your stack, with properly managed keys that are stored separately from the data they protect.

This template provides a structured approach to planning encryption across your product. It covers four areas: classifying data by sensitivity to determine encryption requirements, selecting algorithms and modes for data at rest and in transit, designing key management procedures, and mapping your encryption implementation to compliance requirements.

Most teams encrypt the database and call it done. That misses encrypted backups, log files containing PII, temporary files on worker nodes, inter-service communication, and data in third-party integrations. This template forces you to inventory every place data lives or moves and apply the right encryption strategy to each.

For a full security posture assessment, the enterprise security review template covers the broader context. The Technical PM Handbook explains how infrastructure decisions like encryption affect product development timelines. If your product needs to pass SOC 2 or ISO 27001, the compliance audit template maps encryption controls to audit requirements.


How to Use This Template

  1. Classify your data. Identify every data type your product handles and assign a sensitivity level.
  2. Map the data lifecycle. Trace where each data type is stored, transmitted, and processed.
  3. Select encryption strategies. Choose algorithms and key sizes for each data state (at rest, in transit, in use).
  4. Design key management. Define how keys are generated, stored, rotated, and retired.
  5. Verify compliance mapping. Ensure your encryption plan meets the requirements of applicable frameworks.

The Template

Part 1: Data Sensitivity Classification

Classify every data type by sensitivity level. Each level determines the minimum encryption requirements.

Sensitivity LevelDescriptionExamplesEncryption at RestEncryption in TransitKey Management
CriticalData that would cause severe harm if exposed (regulatory penalties, identity theft)Passwords, SSNs, payment card numbers, health records, encryption keysAES-256 + field-level encryptionTLS 1.3 requiredHSM-backed, 90-day rotation
HighPII and business-sensitive dataNames, emails, addresses, API keys, session tokensAES-256 volume encryptionTLS 1.2+ requiredKMS-managed, annual rotation
MediumInternal business dataProduct usage analytics, internal configs, employee dataAES-256 volume encryptionTLS 1.2+ requiredKMS-managed, annual rotation
LowPublic or non-sensitive dataPublished content, marketing pages, public API docsVolume encryption (default)TLS 1.2+ requiredDefault provider keys

Data inventory:

Data TypeSensitivityWhere StoredWhere TransmittedProcessing LocationsCurrent Encryption
User passwordsCriticalPostgreSQL (hashed, not encrypted)HTTPS login formAuth servicebcrypt hash (not reversible)
Payment card dataCriticalNot stored (Stripe handles)HTTPS to Stripe APIN/A (delegated)PCI DSS compliant via Stripe
User PII (name, email)HighPostgreSQL, ElasticsearchHTTPS, internal gRPCAPI, search, email servicesVolume encryption (RDS)
Session tokensHighRedisHTTPS cookiesAuth serviceRedis at-rest encryption
API keysCriticalPostgreSQL (hashed)HTTPS, never loggedAPI gatewaySHA-256 hash (stored), shown once
Uploaded filesHighS3HTTPS upload, S3 transferWorker nodesS3 SSE-KMS
Analytics eventsMediumClickHouseHTTPS, KafkaAnalytics pipelineVolume encryption
Audit logsHighS3, CloudWatchHTTPSLog aggregationS3 SSE-KMS, CW encryption
BackupsMatches sourceS3 GlacierHTTPS, AWS internalN/AS3 SSE-KMS (separate key)

Part 2: Encryption at Rest

Define the encryption strategy for each storage location.

StorageEncryption MethodAlgorithmKey SizeKey ProviderKey RotationNotes
PostgreSQL (RDS)Volume encryptionAES-256-GCM256-bitAWS KMS (CMK)Annual auto-rotationEncrypts data files, WAL, snapshots
Field-level (PII columns)Application-layer encryptionAES-256-GCM256-bitAWS KMS (separate CMK)90-day manual rotationEnvelope encryption: DEK encrypted by CMK
S3 (file uploads)Server-side encryptionAES-256256-bitAWS KMS (CMK)Annual auto-rotationSSE-KMS with bucket policy enforcement
S3 (backups)Server-side encryptionAES-256256-bitAWS KMS (separate CMK)Annual auto-rotationDifferent key from production data
RedisVolume encryptionAES-256256-bitAWS managedAWS managedElastiCache at-rest encryption
ElasticsearchVolume encryptionAES-256256-bitAWS KMS (CMK)Annual auto-rotationOpenSearch encryption at rest
ClickHouseVolume encryptionAES-256256-bitAWS KMS (CMK)Annual auto-rotationEBS encryption
Local developer machinesFull disk encryptionAES-256 (XTS)256-bitOS-managed (FileVault/BitLocker)N/ARequired by security policy

Encryption at rest checklist:

  • All production data stores have encryption at rest enabled
  • Critical-sensitivity fields use application-layer encryption (not just volume encryption)
  • Backup encryption uses a different key than production encryption
  • Encryption is enforced by policy (S3 bucket policy denies unencrypted uploads)
  • Temporary files and swap space are encrypted (or disabled)
  • Development and staging environments use encryption (may use different keys)
  • Encryption configuration is verified by automated tests in CI/CD

Part 3: Encryption in Transit

Define the encryption strategy for each communication path.

Communication PathProtocolMinimum VersionCertificateHSTSCertificate Pinning
User to applicationHTTPSTLS 1.2Let's Encrypt (auto-renewed)Yes, max-age=31536000, includeSubDomainsNo (breaks certificate renewal)
Application to databaseTLSTLS 1.2RDS CA certificateN/AYes (pin to RDS CA root)
Service to servicemTLS or TLSTLS 1.2Internal CA (auto-rotated)N/AYes (pin to internal CA)
Application to S3HTTPSTLS 1.2AWS certificateN/ANo (AWS manages)
Application to StripeHTTPSTLS 1.2Stripe certificateN/ANo (Stripe manages)
Webhook deliveriesHTTPSTLS 1.2Recipient's certificateN/ANo
Email (transactional)TLSTLS 1.2 (opportunistic)Provider certificateN/ANo
CI/CD to productionSSH/HTTPSTLS 1.2, SSH Ed25519GitHub Actions OIDCN/AN/A

Encryption in transit checklist:

  • All external endpoints enforce HTTPS (HTTP returns 301 redirect)
  • HSTS is enabled with a minimum max-age of 1 year and includeSubDomains
  • TLS 1.0 and 1.1 are disabled on all endpoints
  • Weak cipher suites are disabled (no RC4, no 3DES, no export ciphers)
  • Database connections require TLS (reject plaintext connections)
  • Internal service communication uses TLS or mTLS (not plaintext within the VPC)
  • Certificate expiration is monitored with alerts at 30, 14, and 7 days before expiry
  • SSL Labs score is A or A+ for all public endpoints

Part 4: Key Management

Define the lifecycle for every encryption key in your system.

Key inventory:

Key NamePurposeTypeStorageAccess ControlRotation PeriodLast Rotated
prod-db-cmkPostgreSQL volume encryptionKMS CMKAWS KMSIAM policy: RDS service role onlyAnnual (auto)___
prod-pii-cmkField-level PII encryptionKMS CMKAWS KMSIAM policy: app service role only90 days (manual)___
prod-s3-cmkS3 file encryptionKMS CMKAWS KMSIAM policy: app service role + backup roleAnnual (auto)___
backup-cmkBackup encryptionKMS CMKAWS KMS (separate account)IAM policy: backup service role onlyAnnual (auto)___
tls-certHTTPS encryptionX.509ACM / Let's EncryptAuto-renewed90 days (auto)___
internal-camTLS between servicesCA certHashiCorp VaultVault policy: service mesh onlyAnnual (manual)___
hmac-secretWebhook signatureHMAC keySecrets ManagerIAM policy: webhook service onlyAnnual (manual)___

Key management procedures:

Key Generation

  • Keys are generated using cryptographically secure random number generators (CSPRNG)
  • KMS-managed keys use HSM-backed generation (FIPS 140-2 Level 3)
  • Key generation events are logged and auditable

Key Storage

  • No encryption keys stored in application code, environment variables, or config files
  • All keys stored in dedicated key management services (KMS, Vault, Secrets Manager)
  • Key access is restricted to the specific service role that needs it
  • Emergency break-glass access requires two-person approval

Key Rotation

  • Automated rotation is enabled for all KMS-managed keys
  • Manual rotation procedures are documented and tested annually
  • Rotation does not require application downtime (envelope encryption enables this)
  • Old key versions are retained for decrypting historical data (not deleted immediately)

Key Retirement

  • Retired keys are scheduled for deletion with a 30-day waiting period
  • All data encrypted with a retiring key is re-encrypted with the current key before deletion
  • Key deletion events are logged and require senior engineering approval

Part 5: Compliance Mapping

Map your encryption implementation to the requirements of applicable compliance frameworks.

RequirementSOC 2ISO 27001HIPAAPCI DSSGDPRYour Implementation
Encryption at rest for sensitive dataCC6.7A.10.1.1164.312(a)(2)(iv)Req 3.4Art. 32(1)(a)AES-256 via KMS
Encryption in transitCC6.7A.13.1.1164.312(e)(1)Req 4.1Art. 32(1)(a)TLS 1.2+ enforced
Key management proceduresCC6.1A.10.1.2164.312(a)(2)(iv)Req 3.5-3.6Art. 32(1)(a)AWS KMS + Vault
Key rotationCC6.1A.10.1.2Best practiceReq 3.6.4Best practiceAnnual auto + 90-day manual
Encryption of backupsCC6.7A.12.3.1164.312(a)(2)(iv)Req 3.4Art. 32(1)(a)Separate KMS key
Secure key storageCC6.1A.10.1.2164.312(a)(2)(iv)Req 3.5.2Art. 32(1)(a)HSM-backed KMS

Filled Example: MedTrack Healthcare SaaS

Product: MedTrack, a healthcare analytics platform processing PHI for 200 hospital systems.

Compliance requirements: HIPAA, SOC 2 Type II, HITRUST CSF

Encryption implementation:

LayerImplementationKey Details
Database (RDS PostgreSQL)AES-256 volume encryption + field-level encryption for PHI columnsVolume: KMS auto-rotation. Field-level: 90-day rotation, envelope encryption with per-tenant DEKs
File storage (S3)SSE-KMS with per-customer CMKsCustomer A's files cannot be decrypted by Customer B's key. Required for HIPAA multi-tenancy.
Search (OpenSearch)Node-to-node TLS + at-rest encryptionPHI fields encrypted at application layer before indexing. Search on encrypted fields uses tokenized index.
Inter-servicemTLS via Istio service meshAll service-to-service traffic encrypted. No plaintext within the VPC.
BackupsSeparate KMS key in separate AWS accountBackup key access requires break-glass approval from two senior engineers. Tested quarterly.
Client devicesEnforced via MDM policyFileVault on macOS, BitLocker on Windows. Verified by Jamf compliance checks.

Key management lessons learned:

  • Initially stored API secrets in environment variables. Migrated to AWS Secrets Manager after a SOC 2 finding.
  • Field-level encryption added 3ms of latency per read. Acceptable for their use case, but they cache decrypted values in memory (never to disk) for frequently accessed records.
  • Per-tenant encryption keys required careful key hierarchy design. They use a three-level hierarchy: root CMK (KMS), tenant KEK (derived), and field DEK (per-record).

Common Mistakes

  1. Volume encryption without field-level encryption for sensitive data. Volume encryption protects against physical disk theft. It does not protect against SQL injection, application-layer breaches, or insider threats. Critical data (PII, PHI, payment data) needs application-layer encryption.
  2. Storing keys alongside the data they protect. If the encryption key is in the same database, S3 bucket, or config file as the encrypted data, a single breach exposes both. Keys must be in a separate system with independent access controls.
  3. Never rotating keys. Key rotation limits the blast radius of a compromised key. If a key is compromised and has been in use for 5 years, all data encrypted in that period is exposed. With 90-day rotation, only 90 days of data is at risk.
  4. Encrypting data but not backups. Your database is encrypted, but the nightly backup dump is a plaintext SQL file on an S3 bucket with public read access. Backups must be encrypted with the same rigor as production data (see backup recovery template).
  5. Ignoring data in transit within your VPC. "It is inside the firewall" is not an encryption strategy. A compromised service inside your network can sniff plaintext traffic between other services. Use TLS or mTLS for all internal communication.

For tracking and remediating the vulnerabilities that could expose your encrypted data, the vulnerability management template covers the full lifecycle.

Frequently Asked Questions

What is the difference between encryption at rest and encryption in transit?+
Encryption at rest protects data stored on disk (databases, files, backups). Encryption in transit protects data moving between systems (API calls, database connections, file transfers). You need both. A system that encrypts the database but sends queries over plaintext HTTP is only half-protected.
Should we use AES-128 or AES-256?+
Use AES-256. The performance difference is negligible on modern hardware (less than 5% for most workloads), and AES-256 provides a significantly larger security margin. AES-128 is not broken, but there is no practical reason to choose it for new implementations when AES-256 is equally available.
What is envelope encryption and when should we use it?+
Envelope encryption uses two layers of keys: a data encryption key (DEK) that encrypts the data, and a key encryption key (KEK) that encrypts the DEK. The DEK stays with the data (encrypted), and the KEK stays in KMS. This approach enables key rotation without re-encrypting all data (just re-encrypt the DEK with the new KEK) and supports per-record or per-tenant encryption keys without managing thousands of KMS keys.
How does encryption affect application performance?+
Volume encryption (RDS, EBS) adds less than 5% overhead. Field-level application encryption adds 1-5ms per encrypt/decrypt operation depending on data size. TLS adds a one-time handshake cost (10-50ms) and negligible per-request overhead. For most SaaS products, encryption performance impact is unnoticeable. Profile before optimizing.
Do we need to encrypt data in development and staging environments?+
If development or staging environments contain copies of production data (even anonymized), yes. Many compliance frameworks (SOC 2, HIPAA) require encryption wherever sensitive data exists, regardless of environment. Use the same encryption approach as production, but with separate keys.

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