Meet Aembit IAM for Agentic AI. See what’s possible →

Table Of Contents

Credential Provider

Credential Provider

A credential provider is a system that securely issues, manages, and delivers credentials, such as API keys, access tokens or certificates, to software workloads that need to access protected data. Unlike traditional secrets storage, credential providers generate or deliver these credentials dynamically based on a workload identity that has already been verified by a trust provider and evaluated against policy. They often issue short-lived credentials that expire automatically, reducing exposure if they are compromised.

How It Works

In modern cloud environments, credential providers operate after a workload’s identity has been confirmed by a trust provider. Trust providers validate identity through cryptographic attestation or environment metadata. Once identity is verified and access policy is evaluated, the credential provider issues the appropriate short-lived credential.

When a workload such as a microservice, CI/CD pipeline or AI agent needs to access a database or API, it requests a credential through the platform orchestrating access, rather than retrieving a static secret from storage.

Validation step: A trust provider verifies the workload’s identity. This may include cryptographic attestation, signed metadata documents or platform, provided identity proofs. After that identity information is passed to the access decision system and the request is authorized, the credential provider issues a credential for that workload.

Issuance example: When a Kubernetes pod needs to query a database, the trust provider attests the pod’s identity, policy is evaluated and the credential provider issues a temporary token scoped to that workload’s authorized actions.

This system eliminates the need for long-lived secrets stored in files or code. Instead, credentials exist only when needed, expire automatically and significantly reduce the attack surface.

Why This Matters

Enterprises running microservices, serverless functions and AI agents face an explosion of machine-to-machine authentication scenarios. Every service connection introduces potential exposure, whether through leaked API keys in GitHub, overly permissive service accounts or static credentials that remain active far too long.

Traditional secrets-management tools focus on storing credentials securely, but they do not eliminate the core issue: static credentials become persistent attack vectors. Even with encrypted vaults, teams still struggle with rotation, secret-zero bootstrapping and tracking which workloads use which keys.

Credential providers address this gap by managing the full credential lifecycle dynamically. Organizations can:

  • Enforce least privilege automatically by issuing narrowly scoped credentials.
  • Reduce manual rotation efforts and operational overhead.
  • Gain clear visibility into which workloads access which resources.

In hybrid cloud environments or AI systems that access multiple APIs, this centralized approach reduces inconsistent authentication patterns and simplifies governance.

Common Challenges

Identity verification complexity: Trust providers must validate workloads across heterogeneous environments. A container in AWS, a VM in Azure and a serverless function in Google Cloud each present different identity proofs, and the system must reconcile those before credentials can be issued.

Integration overhead: Credential providers must integrate with multiple back-end systems, each using different authentication schemes such as basic auth, OAuth tokens or mutual TLS. This increases operational complexity.

Performance and availability: Because workloads depend on credential providers for runtime access, delays in issuance can affect application performance. Provider downtime can cascade into systemwide failures.

Policy management overhead: Without strong governance, teams may create overly permissive or overly restrictive policies that either weaken security or break workflows.

Audit trail gaps: Some credential providers lack detailed issuance logs, making it difficult to reconstruct access patterns or investigate incidents.

How Aembit Helps

Aembit integrates with trust providers to validate workload identity and with credential providers to obtain and inject short-lived credentials at runtime. Rather than requiring applications to manage their own authentication, Aembit intercepts outbound requests, receives identity attestation from the appropriate trust provider, evaluates policy and retrieves credentials from the corresponding credential provider.

With Aembit, organizations get:

  • Consistent identity validation across AWS, Azure, Google Cloud, Kubernetes and GitHub Actions (performed by trust providers, not credential providers).
  • Elimination of custom integration work through prebuilt connectors for databases, APIs and SaaS platforms.
  • High performance through distributed Aembit Edge components that provide low-latency, local credential injection.
  • Centralized policy management with rules enforced uniformly across all environments.
  • Detailed audit logs that capture every credential-issuance event for compliance and investigations.

FAQ

You Have Questions?
We Have Answers.

What’s the difference between a credential provider and a secrets manager?

Secrets managers store and retrieve long-lived credentials. Credential providers issue short-lived credentials dynamically after identity is verified by a trust provider and policy is evaluated. In many cases, this eliminates the need to store credentials at all.

Yes. Proxy or sidecar patterns allow credential injection without code changes. This enables organizations to modernize authentication for legacy systems without rewriting applications.

Credential providers issue short-lived tokens and often support automatic refresh mechanisms. For longer processes, the platform can seamlessly request renewed credentials before expiration to ensure uninterrupted operation.

Well-architected providers use high-availability deployments, geographic redundancy and health-based routing. Local caching and graceful degradation strategies help maintain application continuity during temporary disruptions.