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22/07/2026 4:35 pm
TL;DR: Native cloud vaults work well inside one ecosystem, but multi-cloud estates force teams into fragmented policy, audit, and rotation models, according to Akeyless and cited market research. The durable answer is identity-based, short-lived access that reduces the value of a leaked secret and fits machine and AI-agent workflows.
NHIMG editorial — based on content published by Akeyless: Top Azure Key Vault alternatives in 2026
By the numbers:
- Only 44% of organisations are currently using a dedicated secrets management system.
Questions worth separating out
Q: How should security teams handle secrets across multiple cloud-native vaults?
A: Security teams should standardize policy and inventory before they standardize storage.
Q: Why do static secrets remain risky even when rotation is enabled?
A: Rotation reduces the lifetime of a credential, but it does not eliminate the window in which the secret can be copied, cached, or reused.
Q: What do organisations get wrong about securing AI agents with secrets?
A: They often treat shared secrets and fixed tokens as acceptable trust mechanisms for agents that behave dynamically.
Practitioner guidance
- Map every secret store to its cloud boundary Inventory which vault governs which environment, then identify where Azure Key Vault, AWS Secrets Manager, and GCP Secret Manager create split policy and audit records.
- Replace scheduled rotation with runtime-issued credentials Move high-value workloads and service accounts onto dynamic credentials where the secret is minted on demand and expires quickly.
- Remove durable secrets from agent workflows For AI agents and automation pipelines, use secretless or proxy patterns so the agent never receives a reusable secret.
What's in the full article
Akeyless's full article covers the operational detail this post intentionally leaves for the source:
- Platform-by-platform comparisons of Azure Key Vault, AWS Secrets Manager, GCP Secret Manager, HashiCorp Vault, CyberArk Conjur, Doppler, and Infisical.
- Pricing and deployment trade-offs, including per-operation, per-secret, and self-hosted operating models.
- Use-case guidance for multi-cloud, developer-first, and PAM-aligned programmes.
- Specific reasoning for AI-agent access patterns and secretless workflows.
👉 Read Akeyless's analysis of Azure Key Vault alternatives and multi-cloud secrets governance →
Azure Key Vault alternatives and the multi-cloud governance gap?
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22/07/2026 4:40 pm
Single-cloud vaulting has become a governance boundary, not a security boundary. Azure Key Vault is fine inside Azure, but the moment secrets spread across AWS, GCP, Kubernetes, and on-prem, the control model fragments. Separate vaults mean separate policies, separate audit trails, and separate rotation assumptions. Practitioners should treat that as a governance architecture decision, not a product comparison.
A few things that frame the scale:
- Only 44% of organisations are currently using a dedicated secrets management system, according to The 2024 State of Secrets Management Survey.
- 54% of organisations are dissatisfied with their current secrets management solution because not all secrets are secured, and 43% cite lack of central management.
A question worth separating out:
Q: When should organisations replace a vault-first model with identity-based access?
A: Do it when a credential must work across multiple clouds, multiple teams, or multiple runtime contexts without becoming a standing secret. If the same access pattern is reused widely, the vault is no longer the deciding control. Identity-based access becomes the better fit because it shrinks blast radius and aligns with lifecycle governance.
👉 Read our full editorial: Azure Key Vault alternatives expose the limits of single-cloud vaulting
