Credentials built for machine-speed autonomy.

Replace durable credentials wherever possible with workload identity, federation and short-lived authorization issued when execution actually requires it.

Evaluate the agent, task, requested resource and policy at runtime, then issue narrowly scoped access for the shortest useful period.

Agents request capabilities through a trusted broker. The broker validates identity and policy, obtains or generates the required credential, and mediates its use according to enterprise rules.

Keep credential material out of model context, generated code, memory, logs and long-lived environment variables whenever the integration architecture allows access to be mediated instead.

A research task may receive read-only access. A purchasing workflow may receive authority up to a defined amount. A deployment agent may receive access only to one environment and one service.

Use machine identity and federation as the preferred path for runtime authentication, reducing dependence on manually provisioned credentials.

When an agent operates on behalf of a person, preserve the originating user's authorization context instead of silently converting the workflow into broad machine authority.

Background and autonomous workers can authenticate under dedicated machine identities with their own explicitly defined authority instead of borrowing a human credential.

Decouple runtime consumers from underlying credential versions so keys, certificates and passwords can rotate without requiring secrets to be manually redistributed across agent deployments.

Keep sensitive credential values outside prompts and conversational memory so untrusted instructions cannot simply ask the model to reveal what it was given.

Trace credential requests, policy decisions and downstream use while preventing secret material from becoming another durable copy inside logs and telemetry.

Disable an agent identity, revoke a lease or block a resource class without waiting for credentials distributed throughout infrastructure to be manually replaced.

Allow low-risk access automatically while requiring human approval or additional verification before issuing elevated authority for sensitive operations.

Short lifetimes, narrow scopes, contextual policy and isolated identities reduce how much a leaked or misused credential can affect.

Provide agents with a consistent access abstraction across cloud identities, vaults, SaaS credentials, certificates, API tokens and private infrastructure.

Map credentials to agent identities, environments, tools and resources so operators can understand access relationships and identify unnecessary standing authority.

Detect credentials accidentally introduced into repositories, configuration, prompts, runtime files and generated artifacts, then route them for remediation and rotation.

Inspect selected runtime boundaries for credential material and prevent protected values from being written into unsafe destinations or transmitted through unauthorized channels.

Where downstream systems support sufficient granularity, issue authorization constrained to a specific resource, operation, context and expiration window.

Record which agent requested access, which policy authorized it, what credential class was issued, which resource was reached and when the authority expired.

When one agent invokes another, propagate identity and delegated authority rather than handing downstream workers a reusable master credential.

Storage alone does not answer whether an agent should receive access right now. RuntimeSecrets combines credential custody with identity, task context, policy and execution state.

Automate credential generation, versioning, distribution and revocation so secret lifecycle management can keep pace with rapidly created autonomous workloads.

Prefer credentials that expire automatically after the task window rather than permanent access that survives long after the original business need disappears.

Models can decide what they want to do. RuntimeSecrets determines whether the required credential can be issued under the identity, policy and context governing that execution.

A runtime security layer for identity-aware, policy-controlled, short-lived access to the systems AI agents need to operate.