Use customer-controlled encryption when the identity data is high value, long lived, or exposed to administrators, support staff, cloud operators, or third parties. The key question is whether the data owner needs separate control over the keys, such as for service account inventories, tokens, certificates, or audit trails. If only the platform vendor can decrypt it, the privacy boundary is weaker.
How to weigh customer control against operational convenience
Separate the policy question from the storage question. Customer-controlled encryption is most justified when the identity dataset itself becomes a long-lived asset with material privacy, legal, or commercial sensitivity, especially where platform administrators, support teams, or subprocessors can otherwise decrypt it. The practical test is whether the customer can set the boundary on decryption, not just whether the data is “encrypted somewhere.”
For identity data, the strongest cases usually involve records that are durable, broadly reused, or operationally rich enough to expose accounts, access paths, or audit context if decrypted too widely. That includes service account inventories, token material, certificates, and detailed audit trails. When the vendor alone controls the keys, the customer depends on the vendor’s internal trust model, so the privacy boundary is defined by the platform rather than by the data owner.
Customer control is not automatically the right answer for every identity field. It adds key custody responsibilities, recovery planning, and constraints on search, analytics, support workflows, and incident response. The decision should therefore be made on the basis of exposure if decrypted, who must be able to read the data, and whether the business can accept the extra operational burden that comes with separate key control.
What changes when the data is sensitive, durable, or widely exposed
High-value identity data is often more sensitive than it first appears because it can reveal relationships, infrastructure, privilege patterns, or recovery paths even when it does not contain passwords. If an administrator, cloud operator, or third-party support team can decrypt it on demand, the effective trust boundary is broader than many teams assume. That is why the decision is less about cipher choice and more about who can actually access the plaintext.
Long-lived identity data deserves special attention because its exposure window is larger than that of short-lived telemetry. A token inventory, certificate store, or audit archive can remain useful for troubleshooting and governance long after the original event, which increases the value of limiting decryption to the customer. The same logic applies when data is shared across environments or retained for compliance, since retention creates a larger opportunity for misuse, insider access, or lawful-but-broader administrative access.
Where a platform must process the data in plaintext for search, enrichment, or support, teams should decide whether that convenience outweighs the loss of customer-held decryption authority. For identity data, the key issue is often not whether encryption exists, but whether the customer can prevent broad operational roles from becoming implicit readers of the underlying identities and secrets metadata.
How to make the encryption decision practical, not theoretical
Use customer-controlled encryption when the answer to any of these questions is yes: does the dataset contain security-sensitive identity material, would plaintext access materially widen the number of people or systems that can read it, or would the customer need evidence that the provider cannot decrypt without authorization? If the answer is no, standard platform encryption may be enough. This is especially relevant when the data is mostly operational convenience data rather than a privacy boundary in its own right.
Teams also need to decide what happens when access must be restored. Customer-controlled encryption is only sustainable if there is a clear process for key escrow, break-glass recovery, rotation, revocation, and post-incident rekeying. Without that discipline, the control can become a single point of failure, especially when identity data is needed during an outage or incident.
If the platform vendor cannot decrypt the data, make sure the customer can still prove integrity, support investigations, and meet retention or export obligations without weakening the boundary. In practice, that means defining what must remain searchable, what can be opaque to the operator, and which identity records should be separated by sensitivity rather than all placed under one encryption policy.
Risk and Threat Considerations
Identity datasets are attractive because they can expose access patterns, privileged relationships, and recovery material even when they are not themselves credentials. If administrators, support staff, or third parties can decrypt them broadly, the main risk is not just breach disclosure, it is unauthorized visibility into who can access what and how that access can be reconstructed.
Failure mechanism: Plaintext access shifts from the customer to the provider’s operational roles, so the customer loses meaningful control over who can read the data and under what circumstances. That creates a wider trust boundary, weaker separation of duties, and a larger blast radius if an operator account, support process, or subprocesser is compromised.
Impact: Exposure of service account inventories, tokens, certificates, or audit trails can support lateral movement, privilege mapping, targeted abuse, or privacy harm. It can also undermine regulatory or contractual expectations when the data owner needs stronger assurance that the vendor cannot inspect the plaintext unilaterally.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
NIST SP 800-57 and NIST SP 800-53 Rev 5 set the technical controls, while ISO/IEC 27001:2022 defines the regulatory obligations.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST SP 800-57 | Key Management | Customer-controlled encryption hinges on who controls encryption keys. |
| Recommendation — Define customer key custody, rotation, escrow, and revocation before exposing sensitive identity data. | ||
| ISO/IEC 27001:2022 | A.8.24 — Use of cryptography | The question is about choosing encryption to protect sensitive identity data and its boundary. |
| Recommendation — Specify cryptographic protection for identity data based on sensitivity and access boundary needs. | ||
| NIST SP 800-53 Rev 5 | IA-5 — Authenticator Management | Identity datasets often include tokens, certificates, and other authenticators needing lifecycle control. |
| SC-28 — Protection of Information at Rest | The core decision is whether at-rest protection should include customer-held decryption control. | |
| AC-6 — Least Privilege | The privacy boundary weakens when administrators and support staff can decrypt identity data. | |
| Recommendation — Inventory and protect identity-bearing authenticators with explicit lifecycle and custody controls. Apply at-rest protection with customer-controlled keys when plaintext access must remain constrained. Limit decryption access to the smallest set of roles that truly need plaintext visibility. | ||
Practitioner Guidance
What to verify: Classify the dataset by what it reveals, not by its label. If it contains access material, privileged mappings, or audit records that would be sensitive in plaintext, treat customer-controlled encryption as a candidate default rather than a special case.
Decision rule: If the customer would object to a vendor support engineer or cloud operator being able to decrypt the data, then the key question is already answered in favour of customer control. If that concern does not exist, the added complexity may not be justified.
What good looks like: The customer can define key ownership, rotation, and revocation without relying on the vendor’s internal access model, while still preserving the operational workflows that the business actually needs.
Practitioner takeaway: Choose customer-controlled encryption when the privacy boundary must be enforced by the data owner, not merely assumed from the platform’s internal controls, and be prepared to support that choice with key governance that works during incidents as well as in steady state.
Related resources from NHI Mgmt Group
- How do identity teams decide whether customer-controlled AI is safer than external inference?
- How do identity teams decide whether an AI agent needs a separate governance model?
- How do identity teams decide whether an AI agent needs more than standard policy enforcement?
- How do teams decide whether email security needs identity controls more than another gateway layer?
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Reviewed and updated by the NHIMG editorial team on November 5, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org