Zero knowledge means the service provider cannot access the plaintext data or the key material needed to decrypt it. In a secrets management context, this design reduces provider-side trust assumptions, but it does not remove the organisation’s responsibility for access governance, rotation, and lifecycle control.
Expanded Definition
Zero knowledge in security architecture means the provider can operate the service without possessing the plaintext contents or the decryption material for the protected asset. In NHI and secrets management, that usually means the platform can store, distribute, or broker access to secrets without being able to read them in usable form. The pattern is often associated with strong client-side encryption, split trust models, and strict separation between orchestration and data custody.
Definitions vary across vendors when the term is applied to backups, vaults, or identity platforms, so zero knowledge should be treated as a design claim that must be verified against key custody, recovery workflows, and administrative access paths. It is closely related to zero trust principles, but it is not the same as NIST Cybersecurity Framework 2.0 or any single identity control family.
The most common misapplication is calling a service zero knowledge when the operator can still access decrypted secrets through console access, support tooling, or recovery procedures.
Examples and Use Cases
Implementing zero knowledge rigorously often introduces recovery and usability constraints, requiring organisations to weigh provider blindness against the operational burden of key loss, rotation, and incident response.
- A secrets manager encrypts values on the client side so the platform stores only ciphertext, while the tenant controls the encryption keys.
- A build pipeline retrieves short-lived credentials through an intermediary that never sees plaintext, reducing exposure during CI/CD execution.
- An internal platform team uses zero-knowledge storage for API keys, but still enforces rotation and offboarding through processes described in the Ultimate Guide to NHIs.
- A regulated workload requires that support staff cannot decrypt service account material, even during troubleshooting or export operations.
- An organisation adopts a zero-knowledge vault after comparing provider custody models against the identity and access expectations in the NIST Cybersecurity Framework 2.0.
NHIMG’s Ultimate Guide to NHIs notes that only 20% of organisations have formal processes for offboarding and revoking API keys, which is why zero knowledge cannot be treated as a substitute for lifecycle controls.
Why It Matters in NHI Security
Zero knowledge reduces the blast radius of platform compromise because the provider cannot simply expose plaintext secrets from its own environment. That matters in NHI security, where service accounts, API keys, certificates, and tokens often outnumber human identities and are frequently overprivileged. It also supports stronger vendor risk positioning by limiting what an external operator can observe, retain, or disclose.
Still, zero knowledge does not solve governance problems by itself. If an organisation stores long-lived credentials, fails to rotate them, or allows excessive privileges, the attack surface remains high even when the provider cannot decrypt the data. NHIMG reports that 96% of organisations store secrets outside secrets managers in vulnerable locations, and 79% have experienced secrets leaks, with 77% of those incidents causing tangible damage. Those figures show why custody model choices must be paired with access review, rotation, and offboarding discipline.
Organisations typically encounter the consequences only after a vault compromise, failed recovery, or leaked token forces a forensic review, at which point zero knowledge becomes operationally unavoidable to assess.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 and OWASP Agentic AI Top 10 address the attack and risk surface, while NIST CSF 2.0, NIST Zero Trust (SP 800-207) and NIST SP 800-63 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-02 | Covers secret custody, storage, and exposure risks for non-human identities. |
| NIST CSF 2.0 | PR.AC-1 | Identity and access controls must still govern who can reach zero-knowledge protected assets. |
| NIST Zero Trust (SP 800-207) | Zero knowledge complements zero trust by removing provider trust in data custody. | |
| NIST SP 800-63 | Credential assurance concepts inform how strongly protected secrets should be handled. | |
| OWASP Agentic AI Top 10 | Agentic systems often access secrets, so zero knowledge limits operator visibility into those secrets. |
Store secrets so the provider cannot read them and verify no plaintext exposure path exists.
Related resources from NHI Mgmt Group
- Why does zero-knowledge design matter for enterprise credential governance?
- How should security teams evaluate zero-knowledge claims in password managers?
- Why do zero-knowledge password managers matter for NHI and secrets governance?
- How should security teams govern SCIM in zero-knowledge platforms?
