TL;DR: Akeyless says zero-knowledge security architecture lets enterprises use SaaS for secrets, certificates and encryption keys while keeping control with the organisation, reducing the trust required of the provider. For IAM and NHI programmes, the architectural question is whether cryptographic ownership can replace provider trust when regulated environments demand proof, not assurances.
At a glance
What this is: This is an analysis of how zero-knowledge secrets management changes the SaaS trust model by keeping secrets, certificates and encryption keys under organisational control.
Why it matters: It matters because IAM and NHI teams have to decide whether cloud-delivered secrets management can satisfy governance, auditability and regulated access requirements without provider-held credential risk.
👉 Read Akeyless's analysis of zero-knowledge secrets management for SaaS trust
Context
Zero-knowledge secrets management is a security architecture that lets a cloud service orchestrate secrets operations without being able to access the underlying credentials. The article argues that this matters because modern SaaS usage now depends on machine-to-machine access, APIs, and automated workflows that are governed by secrets, certificates, and encryption keys.
The governance gap is not operational convenience versus caution, but provider trust versus cryptographic proof. For regulated organisations, the real question is whether a SaaS model can preserve ownership, auditability and accountability when the service operator must not be able to reconstruct the sensitive material it manages.
Key questions
Q: What breaks when a SaaS secrets platform can reconstruct credentials?
A: The trust model breaks because the provider becomes part of the credential custody chain, even if access is policy-restricted. For regulated environments, that creates a governance gap: technical controls may exist, but the architecture still depends on trust instead of provable non-reconstructability. The practical outcome is reduced audit confidence and a wider blast radius if the platform is compromised.
Q: Why do machine identities make secrets management harder than human access management?
A: Machine identities scale faster, change more often, and are frequently owned by applications rather than people. That makes ownership, rotation, and offboarding harder to standardise. When credentials outnumber human accounts, manual review breaks down and the organisation needs lifecycle controls that work for service accounts, tokens, and certificates.
Q: How should security teams evaluate zero-knowledge secrets platforms?
A: They should verify whether the provider can ever reconstruct the full secret, not just whether access is restricted by policy. The evaluation should cover key fragmentation, operation flow, recovery paths, and failure states. If a complete credential can be reassembled anywhere in the service, the platform still depends on provider trust rather than structural control.
Q: Should regulated enterprises move secrets management to SaaS or keep it on-prem?
A: The decision should turn on custody and proof, not deployment style alone. SaaS can be acceptable when the architecture keeps provider access cryptographically impossible and preserves organisational ownership of secrets. On-prem remains relevant when the cloud model cannot prove those boundaries, but complexity alone is not the deciding factor.
Technical breakdown
How zero-knowledge architecture separates control from custody
Zero-knowledge secrets management splits orchestration from cryptographic custody. The platform can coordinate retrieval, signing or decryption workflows, but it never holds a complete secret in a recoverable form. That distinction matters because classic SaaS control planes often rely on provider access, policy enforcement or escrow assumptions. In a zero-knowledge model, the service can run the workflow while the organisation retains the material control needed to satisfy regulated access requirements. Practical implication: treat provider visibility into credentials as a design flaw, not a configuration setting.
Practical implication: Treat provider visibility into credentials as a design flaw, not a configuration setting.
Why machine-to-machine access makes secrets governance harder
Modern cloud environments depend on non-human identities, APIs and automated workflows that authenticate with secrets rather than people. That shifts the security problem from user access management to credential custody, because a leaked or provider-accessible secret can unlock systems, bypass controls and cascade through dependent services. The article’s point is that secrets are not just sensitive data; they are control primitives. Once they are exposed or recoverable by a third party, every system relying on them inherits that exposure. Practical implication: govern secrets as privileged control objects, not as ordinary configuration data.
Practical implication: Govern secrets as privileged control objects, not as ordinary configuration data.
Why fragmented cryptography changes the SaaS risk boundary
The article describes Distributed Fragments Cryptography as an approach that splits cryptographic material across environments so no single system can reconstruct a full key. That reduces the blast radius of platform compromise because there is no monolithic credential store for an attacker or provider operator to extract. The architectural value is not just stronger encryption, but a different trust boundary: security no longer depends on the provider being trusted to keep full custody. Practical implication: evaluate whether your secrets platform can prove that complete keys never exist in provider reach.
Practical implication: Evaluate whether your secrets platform can prove that complete keys never exist in provider reach.
Breaches seen in the wild
- Toyota T-Connect key exposure 2022: A subcontractor left a T-Connect server key on public GitHub from 2017 to 2022; 296,019 customers' emails were exposed, misuse unknown.
- ASP.NET machine key attacks 2025: Developers copied ASP.NET machine keys from public sources; attackers used one to run Godzilla via ViewState. Microsoft found 3,000+ such keys.
Read and download The State of NHI & AI Agent Breach Report 2026, covering 150+ breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
Zero-knowledge is a custody model, not a marketing label: The article is really about who can ever reconstruct a secret, not whether a platform has strong controls. In NHI governance terms, custody matters more than interface convenience because service accounts, keys and certificates are only as safe as the smallest entity that can reassemble them. For regulated enterprises, the practitioner question is whether cryptographic design eliminates provider reach entirely.
Secrets are the control plane of modern SaaS estates: Once machine-to-machine access, APIs and automated workflows dominate delivery, secrets become the mechanism that decides whether systems can act at all. That makes them materially different from ordinary data at rest because compromise changes authority, not just confidentiality. The implication is that secrets governance should be treated as privileged access governance for NHI estates, not as a storage problem.
Trusted-provider assumptions no longer satisfy regulated environments: The article highlights a structural mismatch between cloud delivery and the governance burden faced by financial services, healthcare and critical infrastructure. Those environments need evidence that only the organisation can access sensitive credentials, and that evidence must be technical rather than contractual. The practitioner conclusion is that auditability now depends on provable non-reconstructability, not policy statements.
Distributed Fragments Cryptography creates an identity boundary that scales with cloud usage: Fragmentation and continuous refresh change the failure model from single-point credential compromise to incomplete, unusable material. That matters because it lets SaaS orchestration scale without centralising the very assets the platform exists to protect. The field-level implication is that NHI governance will increasingly be judged by whether control and custody can be separated without weakening operations.
Zero-knowledge security reframes vendor risk as architecture risk: The critical issue is not whether a vendor is reputable, but whether the architecture makes provider access impossible by design. That is a stronger test than due diligence alone because due diligence can only inspect claims, not remove the provider from the trust chain. Practitioners should therefore evaluate secrets platforms by custody boundaries first and feature lists second.
From our research library:
- Enterprises manage far more machine secrets than human ones: 20 times as many according to Enterprise Strategy Group, and 45 times according to GitGuardian.
- Read next: Secrets Management Buyer's Guide
What this signals
Cryptographic custody is becoming the real control boundary for SaaS secrets governance: If a platform can orchestrate secrets but cannot reconstruct them, provider risk drops from a trust question to an architectural property. That shift matters for programmes trying to modernise without inheriting an extra custody layer.
Secrets sprawl and provider reach are converging problems: NHI programmes already struggle with fragmented credential estates, and cloud delivery can make that worse unless the platform design removes complete-key exposure. The governance test is whether the control plane can scale without creating another place where credentials can be recovered.
Zero-knowledge changes the review question from 'is the vendor trusted?' to 'is the architecture provably non-custodial?': That is the standard IAM, PAM and NHI leads should use when evaluating SaaS-based secrets services for regulated workloads.
For practitioners
- Define custody requirements for all managed secrets Classify which secrets, certificates and encryption keys must remain exclusively under organisational control, then use that baseline to reject architectures that allow provider reconstruction.
- Separate orchestration from secret custody Document where the platform may coordinate workflows and where it must never possess complete cryptographic material, especially for regulated workloads and shared cloud estates.
- Test for reconstructability under failure scenarios Ask whether a platform compromise, insider event or support action could ever expose a complete credential, even briefly, anywhere in the service boundary.
- Map NHI estates to control primitives Treat service accounts, API keys and encryption keys as privileged control objects with lifecycle and ownership requirements, not as generic configuration assets.
Key takeaways
- Zero-knowledge secrets management changes the SaaS question from operational convenience to cryptographic custody and proof.
- For NHI and IAM teams, secrets, certificates and encryption keys should be treated as privileged control objects, not ordinary configuration data.
- The decisive control is whether provider access to complete credentials is impossible by design, especially in regulated environments.
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 addresses the attack and risk surface, while NIST SP 800-53 Rev 5, NIST CSF 2.0 and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-02 — Secret Leakage | The article centres on whether sensitive credentials can ever be reconstructed or exposed by the provider. |
| NHI-05 — Overprivileged NHI | Secrets that unlock broad machine access create overprivileged non-human identities across SaaS estates. | |
| NHI-07 — Long-Lived Secrets | Cloud-hosted secrets services often become risky when credential material persists beyond the organisation's control. | |
| Recommendation — Eliminate provider-recoverable credential paths and verify where secret leakage can still occur. Reduce the blast radius of each secret by narrowing the access it can confer. Shorten secret exposure windows and remove any design that keeps recoverable material available long term. | ||
| NIST SP 800-53 Rev 5 | IA-5 — Authenticator Management | Authenticator lifecycle and custody are central when credentials are stored and managed as a service. |
| Recommendation — Apply authenticator management controls to enforce controlled issuance, storage, rotation and revocation. | ||
| NIST CSF 2.0 | PR.AA-05 — Access Permissions, Entitlements and Authorizations | The article is fundamentally about whether access to sensitive credentials can be bounded and proven. |
| Recommendation — Use access permission controls to prove who can access, reconstruct or administer sensitive secrets. | ||
| NIST Zero Trust (SP 800-207) | Verify explicitly — Verify explicitly | Zero-knowledge design aligns with continuous verification and reduced implicit trust in providers. |
| Recommendation — Design secrets access so trust is continuously verified rather than assumed. | ||
Key terms
- Zero-Knowledge Architecture: A design pattern in which the service provider cannot decrypt customer data because it never receives the keys needed to do so. The provider may store encrypted data and coordinate sync or processing, but it remains technically unable to read plaintext unless the architecture is broken.
- Distributed Fragments Cryptography: Distributed Fragments Cryptography is a method of splitting cryptographic material into fragments so no single system holds the complete key. The security value comes from keeping fragments separated during operations, reducing the chance that an attacker or provider can recover the full secret from one place.
- Key Custody: Key custody is the ownership and control of cryptographic keys across their lifecycle, including storage, rotation, emergency use, and retirement. Poor custody turns encryption into a weak barrier because any identity with key access can recover data that should have remained protected.
- Provider-Recoverable Secret: A provider-recoverable secret is a credential that the service operator can technically restore, reconstruct, or access under some operational path. That creates a trust dependency even when policy limits routine access, because the architecture still allows the provider to touch the asset in a recoverable form.
What's in the full article
Akeyless's full article covers the architectural mechanics this analysis intentionally leaves at a higher level:
- How Distributed Fragments Cryptography splits and refreshes cryptographic material across environments
- Why provider-held escrow and key recombination remain weak points in conventional secrets platforms
- How zero-knowledge claims apply to regulated deployments that need auditability and accountability
- What the architecture means for SaaS adoption in financial services, healthcare and critical infrastructure
Deepen your knowledge
NHI governance, agentic AI identity, and machine identity lifecycle are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building or maturing an IAM programme, it is worth exploring.
Published by the NHIMG editorial team on June 24, 2026.
Updated on October 7, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org