Prompt Security vs Oximy: Best Platform for Employee AI Security in 2026?

Oximy describes local policy decisions that can allow, warn, redact, request review or block supported AI activity. The starting point for an evaluation should be a company rule and the work step where it applies.

For example, a support employee may be authorized to summarize a synthetic account record but not include payment details. Define the permitted summary, prohibited content and acceptable next step before the demonstration. This is a proposed test, not an Oximy result already observed.

Have the workflow owner approve the useful output and the security owner approve the disclosure boundary. A notification is only part of that decision: the evaluator should also establish what happened to the request and what evidence remains available.

SentinelOne's AI Usage Control page describes employee-tool discovery, policy enforcement, edge redaction and coaching. It includes browser, desktop and embedded-copilot use. Describing Prompt Security as a browser-only filter or assuming all inspection must happen in a cloud proxy would misrepresent that documented scope.

Its agentic-security offering covers agent and MCP visibility, access policies and activity records. The application-security offering addresses preproduction testing and runtime prompt/response protection for AI applications.

Those are distinct evaluation jobs. Ask which components and commercial entitlements your proposal includes. A workforce rollout should not silently become an application-security project, and owning another SentinelOne product should not be treated as proof that the required Prompt Security capability is already licensed.

The enterprise AI security tools guide covers a wider shortlist. This page addresses the narrower decision between these two products, not every security category an enterprise might purchase.

Write the purchase requirement as a sentence about an actor and an action. For example: an employee may summarize approved account information in a sanctioned assistant, but may not submit restricted payment fields. That differs from protecting an application your engineering team builds and serves to customers.

For employee use, identify the application, account context, upload method and endpoint owner. For a built application, identify the service owner, model interface, retrieved information, user-facing response and release process. Give each scope its own acceptance criteria and technical reviewer.

This distinction affects the comparison. A device demonstration may be relevant to the employee requirement while leaving the application's server-side behavior unresolved. Conversely, an application guardrail may not govern an employee copying the same information into an unrelated personal AI account.

If a network or custom-application control path is also on the shortlist, WitnessAI vs Oximy examines that adjacent architecture decision. Establish where each proposed control actually receives the interaction.

Shadow AI is AI use outside the organization's approved oversight, including unsanctioned tools or an unapproved account used for work. SentinelOne's AI Usage Control documentation describes discovery of unsanctioned employee AI use as part of the scope to evaluate.

For the proof exercise, distinguish an unapproved tool from an unapproved account inside a familiar tool. Ask the evaluator to identify the application, account context, submitted information and policy decision for each permitted test path. Do not mark both approved because the product name appears on a sanctioned-tools list.

Assign an owner to the follow-up decision: sanction the use, provide an approved route, restrict it or investigate further. Discovery should lead to an accountable action, not just a longer application list.

Use this proposed worksheet for a customer-support team evaluating AI summaries. Populate it with synthetic records and an isolated test account. It is an evaluation method, not a statement that either vendor automatically provides every field or workflow.

Keep the allowed case alongside the restricted case. If a control stops both, the security reviewer needs to know that the workflow cannot yet operate as approved. If it allows both, the restriction has not been demonstrated.

Do not turn a partially completed worksheet into a passing score. Mark unresolved entries with an owner and a decision needed before wider use. The AI risk-assessment guide can support the separate risk review.

An approved application name does not describe the whole transaction. Specify which account the employee is using and what the company has authorized in that context. Avoid assuming that a company subscription controls an unrelated account in the same browser.

In the support exercise, first submit an allowed synthetic summary through the agreed company account. Repeat the restricted submission. Then, where authorized, examine the separately defined personal-account case. Record the actual outcome without converting a successful result on one account into evidence about another.

Keep browser upload, copied text and desktop attachment paths distinct. Document the version and configuration for each tested path. An employee may complete the same business task through a different interface, but the evaluator still needs evidence that the required control reaches that interface.

Define what a permitted output must retain. In the support example, removing a payment identifier may be acceptable; removing the account status needed to resolve the case may make the result unusable. Have the workflow owner make that distinction before reviewing a demonstration.

Use a restricted synthetic record and an allowed variant that should pass. Inspect what the employee sees, what information reaches the selected service and whether the resulting summary remains useful. Record an interruption or incorrect transformation as an observed evaluation result, not a permanent verdict on the product.

Repeat the exercise with the actual file type and submission method in scope. Include a permitted retry so that the test shows how a person recovers after a policy decision. A control that identifies a problem but leaves the employee without an approved way forward may require a workflow change.

Set acceptance criteria before looking at the results. Do not choose a threshold afterward because it makes the preferred vendor look stronger. Neither a polished demonstration nor a vendor's sample dashboard establishes comparative accuracy in your environment.

An exception should identify the specific task, authorized recipient or system, permitted information, approver and duration. A person approving one sanitized summary should not inadvertently authorize the full source record for unrelated AI use.

Test an approved exception and a request outside its scope. Determine who can grant it, how the employee learns the outcome and what happens when it expires. Ask whether the implementation supports those steps directly or relies on the enterprise's existing approval system.

Keep the reason for the rule separate from the exception's business justification. Security may agree that a particular transfer is permitted while the workflow owner still decides it is unnecessary. Record both decisions without collapsing them into an unexplained risk score.

If a formal AI-system registry or lifecycle approval is part of the operating model, Credo AI vs Oximy discusses that responsibility. A runtime event and an approved system record answer different questions.

Suppose the support team later wants an agent to write the summary into a customer record. The approved drafting task has now acquired authority to change another system. Treat that as a separate decision, even when the input and final text look familiar.

Use a sandbox record and a narrowly scoped identity. Define the allowed update, a prohibited field change and the point where the target system accepts a write. Require the evaluator to identify the policy decision before the business action is committed.

For Prompt Security, use the agentic-security documentation to scope the proposed integration. For either vendor, request the exact supported path and test it; employee-tool coverage alone does not establish authority over the new write operation.

For an agent-focused shortlist, the Zenity alternatives guide separates permission changes and execution controls from governance records.

If the team instead builds a customer-facing assistant, evaluate the application-security offering separately. Agree input, retrieval, output and failure tests with the application owner. Do not transfer an employee-device result to server-side execution.

Oximy's security review covers deployment, source permissions, access, evidence and retention questions. Request a data-flow description for the actual proposal, including what is inspected locally and what administrative or event information is retained elsewhere.

Apply the same request to Prompt Security. For both proposals, ask who can view content, identifiers, redactions and policy events; which records leave the endpoint; and how deletion and investigation exports work. A local inspection step does not settle the downstream AI provider's handling of an allowed submission.

Give privacy reviewers the proposed event fields and access model, not only an architectural label. Decide whether investigators need original content, a redacted excerpt or metadata for the defined incident. Confirm how an export preserves enough context without widening access unnecessarily.

Resolve disagreements before collecting production data. An event record that is useful to security may still exceed the approved employee-monitoring boundary. Document the agreed purpose, permitted viewers and retention rules through the enterprise's review process.

If repository discovery or access remediation is part of the brief, the Cyera alternatives guide treats that as a separate data-security requirement.

Give the support pilot a named owner who can pause expansion. Agree what would trigger that decision: an unresolved restricted transfer, repeated interruption of permitted summaries or missing evidence needed to investigate an event. These are proposed operating conditions, not claims about either product's failure rate.

Include an unavailable-control exercise in the sandbox. Establish whether the approved task stops, continues or moves to manual handling when a required component cannot participate. Record the observed behavior and decide whether it meets the enterprise's requirement; do not assume a universal default.

For pending support work, specify how an employee resumes safely without submitting the same record repeatedly or bypassing the approved path. Keep the previous policy configuration and a recovery owner available during a change. Recheck the permitted summary after recovery before expanding to another team or application. The release decision should name unresolved exclusions, not merely state that installation succeeded.

Oximy's published pricing lists $10 per device per month or $100 per device per year for self-serve use, with custom pricing for larger deployments. Request an enterprise proposal matching the required rollout and evidence scope.

A numerical Prompt Security enterprise price is not publicly available on the reviewed product pages. Request a current quote and confirm which workforce, agent and application capabilities it includes. Do not substitute the price of a different SentinelOne package.

Compare the same population, covered paths, administrative responsibilities, support and retention needs. Include implementation work and policy maintenance. A lower entry price does not establish a lower enterprise total when one proposal includes requirements the other leaves unquoted.

Start with Oximy when the immediate requirement is a defined supported device-level policy and you want to evaluate it within a bounded workflow. Include Prompt Security when its documented employee, agent or application scope matches the broader purchase requirement.

When evaluating Prompt Security alternatives, keep a separate list of requirements neither proposal has yet demonstrated. These might belong to an existing identity, data-security or governance system, or require another evaluated control. Absence from this comparison is not proof that a vendor cannot supply a capability.

If endpoint-connected AI investigation is also required, use CrowdStrike vs Oximy for that evaluation. Keep the wider endpoint-security responsibilities separate from the employee AI-policy purchase.

Before expanding the rollout, have security accept the control evidence and the workflow owner accept the completed work. The CIO's review should consider usable summaries, rework, operating effort and cost against an agreed baseline. More prompts or blocked events alone do not establish business value.

Book an Oximy demo with an allowed task, restricted data and the application/account path your team uses. Ask to see the supported decision, the employee's permitted next step and the evidence your reviewer can inspect.

1. 01Prompt SecuritySentinelOneVendor-published
2. 02AI Usage Control pageSentinelOneVendor-published
3. 03agentic-security offeringSentinelOneVendor-published
4. 04application-security offeringSentinelOneVendor-published