Doppler Secrets Platform Secures AI Agents and Pipelines

Doppler has launched a secrets management platform designed to secure credentials for human developers, automated pipelines, and AI agents. The platform centralizes API keys, tokens, and certificates in a single system to prevent hardcoded secrets from leaking into source code, logs, or AI model contexts.

One Platform for Every Identity

Doppler stores all secrets in a unified system of record. Developers, CI/CD pipelines, and AI agents all draw credentials from this single source. Changes sync in real time across teams and environments. This approach aims to eliminate separate, insecure processes for managing machine identities.

A Scalable Hierarchy for Secrets

Doppler organizes secrets using a project-based hierarchy. Each project, typically tied to an application, contains configs for different environments like development or production. The structure uses branch configs that inherit from a root while allowing for deployment-specific tuning.

Secret referencing cuts down on duplication. Each developer also gets a personal config for local work. The company states this model is more secure and easier to use than traditional.env files.

Runtime Access and Dynamic Credentials

Doppler injects secrets at runtime instead of having them hardcoded in application files. Its command-line interface fetches credentials on demand and passes them as environment variables. This method keeps sensitive data out of scripts, config files, and AI prompts. It also handles complex values like multi-line encryption keys and embedded JSON that can break traditional.env workflows.

The platform can remove long-lived credentials entirely. It offers OIDC and cloud syncs with Azure, AWS, and GCP that use short-lived, verifiable identity tokens. For supported platforms, Doppler provides dynamic secrets. These are credentials scoped and time-boxed to a single session, which the system revokes automatically when the lease ends.

Governance, Visibility, and Integration

Doppler enforces least-privilege access with fine-grained controls and user groups scoped to specific projects and environments. All secrets are versioned, and access history is logged for audits and compliance rollbacks.

For larger teams, SCIM syncs membership with identity providers to automate user provisioning and deprovisioning. The platform connects to over 50 integrations across cloud platforms, CI/CD systems, and application frameworks. This allows secrets to flow to where they are consumed without requiring custom code.

Engineers can use Change Requests to propose updates to configs they cannot edit directly. Log Forwarding pushes activity logs into existing SIEM tools for analysis. Doppler is available as a fully managed cloud service or for on-premises deployment.

Built for the AI Agent Era

The platform's design is particularly focused on securing AI agents, which the source says are adopted by the vast majority of its customers. Machine credentials can be scoped per identity and rotated automatically. This limits the blast radius and lifespan of any single compromise.

A dedicated Doppler MCP server lets agents request configuration natively without custom scripts or hardcoded credentials. Permissions are enforced at every layer to keep raw secrets out of the AI model's context. The company highlights that its pricing is based on human users, so the cost remains the same whether a team runs 10 agents or 1,000.