Platform, security, and AI engineering teams selecting a production control architecture.
When to use agent identity, workload identity, or both.
The control gap
The names are often used interchangeably even though they answer different control questions. A workload identifies the runtime process or deployment; an agent identity identifies the accountable autonomous principal operating inside it. Production evidence often needs both plus the delegating user and task.
Use workload identity to answer which deployment, service account, VM, container, or function is calling. Use agent identity to answer which autonomous principal and version inside that runtime selected the action. If one runner hosts several agents, workload-only rules are too coarse. If the same agent version runs across environments, agent-only evidence cannot locate the compromised runtime.
A complete action record can carry both without inventing a new universal identity system. Validate the workload through the customer's issuer, map the registered agent principal, retain the runtime instance, and add the human or service delegation. Then policy can require the layer appropriate to the risk while the receipt preserves their distinct provenance.
What good looks like
A purchase decision based on the enforcement point and evidence the team actually needs, rather than category labels.
- Principal granularity
- Runtime and environment binding
- Delegated task context
- Identity provenance in action evidence
A production workflow
- Map where agent identity sits in the request path and which failures it can stop.
- Repeat the exercise for workload identity, including identities and resource context visible at decision time.
- Classify required actions as automatic, denied, or human-approved.
- Run representative calls in shadow mode and compare the evidence produced by each design.
Evidence to require
- Enforcement occurs before the external side effect, not after log ingestion.
- Decisions identify the agent and delegated user as separate principals.
- The resource, environment, policy version, reason, and response are retained together.
- Approval is bound to one request and expires instead of creating standing access.
Buyer checklist
- Which option can block the side effect at the moment of execution?
- Which identities and resource attributes are visible to its policy engine?
- Does it support request-bound human approval?
- Can the team export a complete decision trail without reconstructing several logs?
Practical answers
Common implementation questions
Is agent identity a replacement for workload identity?
Usually not. The right design depends on the enforcement point, protocol, and decision context. Many production systems use both, with each protecting the layer it can actually observe.
Where does Endram fit?
Endram is the runtime authorization and approval layer for agent tool calls. It evaluates the requested action before execution and keeps the decision evidence.
Can this be tested without interrupting production?
Yes. Shadow mode shows how candidate policies classify real calls before enforcement is enabled.