They should verify where encryption happens, who holds the keys, and whether the provider can ever access plaintext during normal operation or cloud processing. A true zero-knowledge design should make backend compromise far less useful because stored data is ciphertext only. The test is architectural, not contractual, and the strongest evidence is local encryption plus verifiable key custody.
Why This Matters for Security Teams
Zero-knowledge is often treated as a trust label, but security teams should evaluate it as an architectural claim about where plaintext exists, how keys are generated, and whether any server-side component can decrypt data during normal operations. That distinction matters because a password manager is only as resilient as its weakest trust boundary, especially when backups, sync, sharing, and recovery workflows are involved.
For practitioners, the question is not whether a vendor says it cannot read vault contents. It is whether the design prevents that capability in the first place, or merely limits how often it is used. Current guidance from the NIST Cybersecurity Framework 2.0 pushes teams to validate protections through governance and technical assurance, not branding. NHIMG’s research on the State of Secrets in AppSec also shows how quickly secret handling confidence diverges from actual operational control when workflows are fragmented.
In practice, many security teams discover weak zero-knowledge implementations only after a breach review, migration, or account recovery event has already exposed the assumptions.
How It Works in Practice
A credible zero-knowledge password manager should encrypt vault data locally before it leaves the device, with decryption keys derived from user-held material that the provider never sees in plaintext. That usually means the provider stores ciphertext, metadata, and sync state, while the client handles encryption, decryption, and master-secret derivation. Teams should ask where key wrapping occurs, whether password resets can recover vault access without server-side decryption, and how emergency access or sharing is implemented.
Verification should be evidence-driven. Useful checks include reviewing security whitepapers, architecture diagrams, and independent assessments that explain key custody and plaintext handling. If the vendor supports browser extensions, mobile apps, and web access, each path should be evaluated separately because encryption guarantees can differ by client. The strongest claims are consistent with Lifecycle Processes for Managing NHIs style lifecycle discipline, where the security property is preserved from onboarding through revocation, not assumed at purchase time.
- Confirm encryption happens on the client before any sync or upload.
- Identify who can trigger key recovery and under what conditions.
- Check whether support staff can ever access plaintext during troubleshooting.
- Review whether search, sharing, and autofill features require server-side decryption.
- Ask for third-party validation of cryptographic and operational claims.
Teams should also compare claim language against the vendor’s incident response and backup model. A system can still be “zero-knowledge” for stored vault contents while exposing sensitive metadata or recovery pathways. These controls tend to break down when the provider offers delegated admin, enterprise recovery, or cross-device sync features that rely on server-mediated trust decisions.
Common Variations and Edge Cases
Tighter zero-knowledge controls often increase friction for recovery, device migration, and enterprise support, so organisations must balance user resilience against provider visibility and operational convenience.
There is no universal standard for “zero-knowledge” yet, which means vendors may use the term differently. Some designs are zero-knowledge for stored vault data but not for telemetry, billing data, or collaboration metadata. Others protect at-rest data well but still expose plaintext temporarily in browser memory, support workflows, or enterprise admin processes. Security teams should treat those distinctions as material, not cosmetic.
The hardest edge cases are account recovery, delegated administration, and regulated enterprise sharing. If the provider can reset access without user-held secrets, the team should ask what trust path makes that possible. The Top 10 NHI Issues research is a useful reminder that over-privilege and weak lifecycle control often become the real failure mode, not encryption itself. For policy-heavy environments, the right question is whether the vendor can prove key custody and plaintext separation under normal operations, not whether a marketing page uses the term zero-knowledge.
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 address the attack and risk surface, while NIST CSF 2.0 and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | PR.DS-1 | Zero-knowledge claims are about protecting data at rest and in transit. |
| OWASP Non-Human Identity Top 10 | NHI-03 | Key custody and recovery pathways mirror credential lifecycle risk. |
| NIST AI RMF | GOVERN | Claims require governance evidence, not vendor assertions alone. |
Verify client-side encryption and ensure sensitive data remains protected throughout storage and sync.
Related resources from NHI Mgmt Group
- How should security teams decide whether JIT access is safe for non-human identities?
- How should security teams evaluate self-service password reset in hybrid IAM environments?
- How should security teams evaluate SaaS residency claims when authentication crosses borders?
- How should security teams evaluate CIAM providers beyond marketing claims?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on June 10, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org