Platform, security, and AI engineering teams selecting a production control architecture.
When to use agent security, agent governance, or both.
The control gap
The names are often used interchangeably even though they answer different control questions. Security prevents or contains harmful actions; governance defines ownership, acceptable use, review, and evidence. Runtime policy connects the two.
Security asks whether a harmful request can be stopped or contained. Governance asks who owns an agent, what it may be used for, which risk classification applies, how changes are reviewed, and what proof is retained. A policy document without runtime enforcement is weak governance; a runtime deny rule without ownership and review is brittle security.
Evaluate platforms by tracing one requirement from statement to evidence. For example: production refunds over a threshold require finance approval. The governance layer names the owner and review cadence; the security layer interrupts the matching call; the decision record proves which policy, reviewer, amount, and provider outcome were involved.
What good looks like
A purchase decision based on the enforcement point and evidence the team actually needs, rather than category labels.
- Preventive enforcement
- Ownership and review
- Policy lifecycle
- Evidence for assurance
A production workflow
- Map where agent security sits in the request path and which failures it can stop.
- Repeat the exercise for agent governance, 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 security a replacement for agent governance?
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.