TL;DR: C1.ai's analysis of agentic vaulting finds credential governance is now an identity problem because the same secret can authorise humans, workloads and AI agents. Teams need controls that issue, constrain and retire each credential without relying on human checkout patterns.
Editorial analysis by NHI Mgmt Group, based on content published by C1.ai: “C1 Launches Post-Quantum Agentic Vault to Govern Every Credential in the AI Era”.
By the numbers:
- Leaked AI-service credentials rose 81% year over year in GitGuardian's State of Secrets Sprawl 2026.
- The White House signed an executive order on June 22, 2026 directing federal agencies to migrate to post-quantum cryptography.
Key questions
Q: Why do long-lived secrets and exposed systems need to be prioritised first in post-quantum planning?
A: Long-lived secrets are at greatest risk from harvest-now-decrypt-later attacks because adversaries can capture encrypted data today and decrypt it later when quantum capability matures.
Q: How can security teams tell whether credential governance is mature enough?
A: Look for measurable controls, not claims of modernisation.
Q: What breaks when traditional vaults are used for AI agents and machine identities?
A: Vault models that assume infrequent human checkout break when agents and workloads consume secrets at machine speed.
Practitioner guidance
- Map every credential to an identity subject Inventory which secrets belong to humans, service accounts, workloads and agents, then assign explicit owners and policy paths to each one.
- Replace human checkout assumptions with request-time policy Require each reveal to be evaluated against context, privilege scope and intended duration rather than treated as a reusable vault checkout.
- Shorten credential lifetime wherever automation can prove use Use just-in-time issuance and automated destruction so the secret exists only for the task window that needs it.
Bottom line: Credential governance is now an identity problem because the same secret can authorise humans, workloads and AI agents.
Glossary terms: Agentic Vaulting, Secret-Level Audit Trail, Post-Quantum Secret Exposure, Credential Blast Radius
What's in the full announcement
C1.ai's full post covers the operational detail this post intentionally leaves for the source:
- The exact request-time policy flow for revealing secrets to humans and agents
- How the built-in audit trail records each read, rotation and destruction event
- The mechanics of automated provisioning, cycling and destruction at machine speed
- How the post-quantum storage model is described for secret protection
👉 Read C1.ai's post on post-quantum agentic vaulting for credentials →
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Credential governance has become identity governance. When a token, API key or signing secret can authorise a person, service account or agent, the control plane has moved closer to identity than to storage. That means vaults are no longer just secure containers; they are enforcement points for who may act, for how long and under what policy context. Practitioners should treat every secret as delegated identity authority.
A few things that frame the scale:
- 73% of vaults are misconfigured, leading to unauthorised access and exposure of sensitive data, according to the Ultimate Guide to NHIs.
A question worth separating out:
Q: When should organisations prioritise just-in-time credentialing over broader vault access?
A: Prioritise just-in-time credentialing when the secret is used by agents, shared services or other identities that can execute faster than human review cycles. In those cases, standing access creates unnecessary persistence and wider blast radius. The right test is whether the credential can be issued, used and destroyed within the same task boundary.
👉 Read our full editorial: Post-quantum agentic vaulting pushes credential governance closer to identity