Zenity vs Oximy: Best Platform for AI Agent Security in 2026?

Oximy's documented approach evaluates supported requests and agent actions on the device. The relevant buying question is whether your specific prohibited action can become a configured decision in the actual workflow.

For example, identify the production target of a proposed write, the approval owner and the permitted development alternative. Ask the evaluator to distinguish the allowed case from the prohibited one and retain the decision evidence. These are proposed acceptance criteria, not reported Oximy test results. Use a sandbox and synthetic inputs for the initial exercise.

The first rollout should produce a clear boundary: covered applications/actions, required deployment, approved exceptions and paths still outside scope. A claim that a product supports agents is not sufficiently specific to authorize production access.

Zenity's platform describes agent governance across SaaS, cloud and endpoint environments. Its coding and personal-agent page explicitly discusses native hooks, OpenTelemetry and MCP-based enforcement. It is therefore inaccurate to describe Zenity as cloud-only or as a tool that merely reports risk after an action.

Zenity also documents AI exposure management, connecting agent identities, data and behavior into attack paths and remediation work. This belongs in the evaluation if the project includes identifying which agents and permissions create exposure, not only applying a known rule.

Its Runtime Boundaries documentation describes rules that can permit or stop an agent action, alongside policy preparation and simulation. Request a demonstration of the rule and execution path rather than assuming that an inventory connector also supplies runtime enforcement.

The practical distinction is scope and implementation: which inventory and exposure records you need, where a decision occurs, and how the proposed integration reaches the agent.

Use the AI agent governance tools guide when the shortlist also needs formal registries, lifecycle approvals or other governance approaches.

An agent-security purchase should state which decisions the enterprise cannot currently make. An incomplete inventory, an excessive permission and an unsafe execution attempt require different evidence. Combining them under one security label makes the proposal harder to evaluate.

For discovery, give the evaluator a known set of test agents and record which are found. Inspect the owner, execution environment and connected resources. Identify the discovery permissions and which agents require manual registration. An inventory result should also explain the boundary beyond which the evaluator has no visibility.

For posture, choose a configuration or permission that violates an agreed rule. Ask what the finding means, which resource is reachable and who can remediate it. Zenity's platform documentation distinguishes observability and posture assessment from runtime controls; evaluate those separately in the proposal.

For runtime security, attempt the defined action in a sandbox and inspect the outcome at execution. The same agent should also complete an allowed action. Record the relevant identity, policy and tool path rather than using a general risk score as proof that the action was governed.

Oximy can be evaluated against the supported local-action requirement. If the purchase also depends on a wider inventory or exposure program, obtain evidence for those additional requirements rather than assuming the local control supplies them. This preserves a fair shortlist without making either product responsible for an unquoted system-wide outcome.

Use an AI observability requirement to specify what a reviewer must reconstruct: the human request, agent identity, selected tool, target, permission and resulting action. Ask each evaluator to identify which of those details the proposed implementation actually records and which require another source.

Then separate observation from intervention. A trace that explains an action after it occurred does not establish that the same component could stop it beforehand. Require a distinct result for the attempted prohibited action and the record retained for investigation.

For an agent that gains a new tool or permission, repeat the trace and control tests. Record the application and component versions so the approval refers to a demonstrated configuration, not an unspecified observability capability.

An agent that was approved for one workflow may later receive a different tool, identity or data source. Use the following proposed change record to decide what must be reviewed again. It is a methodology, not a claimed feature set shared by both vendors.

Use separate technical and business approvals when their responsibilities differ. Security may approve a restricted execution path while the workflow owner decides whether the task should proceed. Preserve disagreement as an unresolved condition rather than converting it into an arbitrary score.

The AI risk-assessment guide provides context for risk ownership. The approval record here connects that assessment to a specific change in an agent's authority.

For the relationship between formal governance approval and execution evidence, compare Credo AI vs Oximy.

Consider a proposed IT support agent approved to read a synthetic support ticket and draft an access request. It is not approved to grant a privileged role. This is an illustrative evaluation scenario, not a customer deployment or a capability test already performed on either vendor.

Start with the approved read-and-draft workflow. Record the agent version, user or service identity, connected tool and target resource. Preserve the expected result so that a later security test can also show whether legitimate work still functions.

Next, introduce a sandbox tool operation that would grant the prohibited role. Ask the evaluator to identify where the rule is applied and what happens before the target system accepts the change. Record whether the result is a block, approval request, alert or another configured outcome. Do not treat those outcomes as interchangeable if the requirement is prevention.

Then change the authority without changing the business request. For example, give the test agent a different service identity or add a new tool connection. Check whether the original approval still describes what the agent can do. The change record should explain what needs reauthorization and who makes that decision.

Finally, test the exception process. If a permitted administrator may approve a narrowly defined operation, specify the resource and duration of that permission. An approval to resolve one ticket should not silently become permanent permission for unrelated administrative work.

Require the evaluator to produce the observed results and the unresolved paths. Neither a tool appearing in an inventory nor a policy existing in an interface establishes that this full sequence is controlled.

Inspect three artifacts separately:

1. 01The inventory record showing that the agent and its owner were found.
2. 02The exposure finding describing a permission or reachable resource.
3. 03The execution record showing what happened when a defined action was attempted.

These artifacts answer different questions. A discovery screenshot does not demonstrate that a tool call can be stopped. A denied action does not prove the inventory covers other agents.

Zenity's exposure-management material is relevant to the second artifact. Its coding-agent material is relevant to the third. For Oximy, ask to demonstrate the supported local policy and request the corresponding record and retention boundary through its security review.

Have the evaluator label each result as discovered, investigated or controlled. An agent record and a successful enforcement test should remain distinguishable in the approval packet.

For network-visible and orchestration control paths, read WitnessAI vs Oximy.

Before broad enforcement, choose a bounded workflow with a technical owner and a business owner. Agree which events will be reviewed, who can change the policy and what would cause the team to pause the rollout. This is a proposed operating sequence; available modes and controls must be confirmed for the selected product.

Review legitimate work as carefully as prohibited work. A rule that stops an unauthorized production change may also interrupt an approved maintenance task. Keep the expected permitted cases in the test set, then document how an operator distinguishes a mistaken interruption from a justified denial.

For policy changes, retain the previous approved configuration and the reason for the change. Re-run the affected permitted and prohibited cases before expanding scope. Ask the vendor to show how administrators review changes, which records are available and how the intended configuration can be restored.

Define control-failure behavior with the application owner. If a required hook, connection or policy service is unavailable, identify whether work stops, continues or moves to manual handling. Test that behavior in a sandbox. The acceptable choice depends on the action's impact and the enterprise's requirements, not a universal rule for every agent.

A rollout decision should name the covered agents and unresolved exclusions. Reopen it when the execution environment, identity or authority changes, rather than treating the initial approval as permanent.

Evaluate Oximy first when you already know the device-level policy requirement and want to prove it in a supported employee or coding-agent workflow. Give the pilot a named rule, application/action boundary and owner.

Include Zenity when the project also needs its documented agent inventory, exposure investigation or runtime integration across the relevant environments. Request a deployment-specific mapping from each agent type to discovery, observation and enforcement.

Consider both when responsibilities can be separated. For instance, the architecture may need one authoritative inventory and another control on a particular work path. Treat that as a proposal to evaluate, not evidence of a pre-existing integration or recommended universal architecture.

Specify policy precedence, exception handling and incident evidence. Test both the allowed case and the denied case through the combined path before expanding it.

If sensitive-data discovery and access context are central to your shortlist, read Cyera vs Oximy. It separates repository-level data security from a control on an employee or agent action.

Use one workflow identifier to connect the security approval with its operating review, while preserving the different decisions each owner makes. The security reviewer accepts or rejects the defined action boundary. The workflow owner assesses whether approved execution produces usable completed work.

For the support-agent example, record whether the drafted request was accepted, whether a person had to redo it and what operating effort the workflow required. Choose the baseline and observation window before using those records to make an expansion decision. These are proposed measures, not Oximy or Zenity performance claims.

Procurement should receive the same agreed scope: agents, environments, control paths, administrative responsibilities and required evidence. A wider platform proposal and a narrow device-policy proposal may both be valid, but their prices do not describe the same purchase unless those requirements match.

Keep unresolved security conditions visible even when the workflow appears productive. Equally, an agent that passes the control test may still be unsuitable for expansion if the completed work is poor or the upkeep exceeds its usefulness.

Oximy's public pricing lists self-serve charges of $10 per device per month or $100 per device per year, with custom pricing for larger deployments. Confirm deployment, evidence and support requirements in the enterprise quote. A self-serve device price is not a quoted total for a large enterprise rollout.

The reviewed Zenity platform pages do not list a numerical enterprise price. Request a current proposal for the relevant agent types, environments, modules and operating responsibilities.

Include rollout and upkeep in the comparison. Name who maintains connectors or hooks, who approves a policy change and who resolves a false block. Comparable quotes are needed to establish any cost advantage.

Book an Oximy demo with an agent workflow, an allowed action and a prohibited one. Ask to see the supported control path, the approval boundary and the record your security team can review.

1. 01Zenity coding and personal agentsZenityIndependent
2. 02Zenity's platformZenityIndependent
3. 03AI exposure managementZenityIndependent
4. 04Runtime Boundaries documentationZenityIndependent