OX Security brings AI coding activity into application security

OX Security connects AI coding governance with code, cloud and application risk. Evaluate its module pricing and distinguish inventory from coming-soon scanners.

01 / ProductAI development joins the application security scope

OX Security presents its platform around the path from a developer’s prompt to a running application. Its current offer includes VibeSec for AI coding environments, OX Code for software security, cloud coverage and an agentic pentester. Those are related security surfaces, but they are not interchangeable. Guiding an assistant before it creates code, finding a vulnerable dependency and validating a deployed weakness require different evidence.

VibeSec is the clearest reason to consider OX an AI-related company. It addresses coding agents, model and MCP usage, development guidance and activity visibility. MCP, or Model Context Protocol, is one way an assistant connects to tools and data. Knowing which connection exists can help a team understand its development environment; it does not automatically establish that every connected service or action is safe.

The broader OX Code offer includes static code analysis, dependency analysis, secrets and infrastructure configuration checks, alongside software delivery context. This means a buyer can investigate AI-assisted development within an existing AppSec problem rather than treating agent governance as a separate inventory spreadsheet. The useful evaluation question is whether those connections help a team make and verify a better security decision.

02 / AudienceA fit for teams trying to govern real coding activity

Consider an engineering organization where several teams use coding assistants but security has only partial knowledge of the models and integrations involved. A written approved-tools list may describe intent while actual activity differs. OX is relevant when the team needs to discover that activity, provide context-sensitive development guidance and connect the resulting code changes to security checks. The starting point should be one observable development workflow.

The platform is also relevant to an AppSec team that already collects findings from several tools but struggles to connect them to an application owner or deployment. Its ASPM description emphasizes contextual prioritization, correlation and traceability to source. That offers a second entry point: first improve the handling of an existing finding, then evaluate whether AI-development visibility adds useful context.

A small team with a single repository and a well-understood coding setup may need less orchestration. Snyk’s blueprint provides a comparison for developer security workflows. Netskope’s blueprint explores controls for AI prompts, responses and connected tools, providing a comparison with OX’s development guidance. The decision is not settled by which product lists the most surfaces. Identify whether the expensive uncertainty is in generated code, application ownership, cloud exposure or agent activity, then test that specific boundary.

03 / WorkflowA proposed pilot from guidance to a reviewed change

This proposed evaluation has not been run by Sequenced. Choose one service, one supported coding environment and a task whose security requirements are already documented. An example could be adding an endpoint that must use an existing authorization helper. Establish what the correct change should preserve, who reviews it and which tests exercise the access boundary. Keep the task small enough to inspect the assistant’s behavior and resulting patch.

Begin with visibility. The Agent AI-BOM documentation describes an inventory built from agent events, with MCP servers, external SaaS services and AI models, plus usage and last-active information. Compare that view with the selected developer’s known setup. Investigate missing or unexpected entries. The inventory is an observed map to verify, not a vulnerability scan or a complete account of every application integration.

Next configure one relevant guideline. The Agent Guidelines guide describes examining a prompt and returning appropriate instructions before code generation. Custom guidelines include an activation condition, instruction, language and category. They initially enter a training state and are enabled after training. Verify that the guideline is active and that the chosen task triggers it before attributing any generated behavior to the rule.

Inspect both the guidance and the patch. A recommendation to reuse the authorization helper is useful only if the resulting endpoint invokes it in the correct place and handles failure appropriately. Run the existing tests, add a meaningful case for the changed boundary when needed, and review the code with its owner. A log showing that guidance was delivered does not prove that the assistant complied with it or that the implementation is secure.

Then follow the change through the agreed code-security workflow. Inspect any finding, its repository and commit association, the proposed remediation and the final rescan. If runtime context is connected, verify that it refers to the intended deployment. Record separately whether the pilot improved visibility, prevented a familiar mistake or helped repair a finding. Combining those into one success number would obscure which module actually supplied value.

04 / PricingFour commercial meters require a module-level quote

The current pricing page does not publish a universal dollar amount. Its four product cards describe different charging units: VibeSec by AI user, OX Code by contributing developer, OX Cloud by cloud asset and Agentic Pentester by agent hours. A procurement estimate therefore needs both a module selection and a measured population for each selected unit.

The same page’s FAQ still describes an active-developer basis using people who committed within the previous 90 days or are expected to contribute during the license term. That wording does not resolve the other three module meters. Ask for a written schedule that defines each unit and its measurement period. Do not multiply a developer count by an assumed platform-wide rate or treat one product’s allowance as covering the whole suite.

Availability also affects the value of a quote. The pricing cards label VibeSec’s MCP Scanner and Skill Scanner as coming soon. They likewise label cloud Agents Activity and the platform Response Center as coming soon. An inventory of MCP usage should therefore not be purchased under the assumption that the future MCP vulnerability scanner is already included and operational. Request a demonstration of the exact capability on the proposed account.

Build the pilot budget around selected modules and expected activity. A developer who uses an AI assistant may be relevant to both a user-based module and a contributor-based one, while a cloud asset belongs to a different count. Ask whether the commercial proposal bundles those populations, applies separate minimums or includes overage rules. The consulted public sources do not establish a single all-inclusive price.

05 / DistinctionsThe distinction is connecting preventive guidance with context

OX combines a development-time governance proposition with familiar application security analysis. That creates a useful possibility: the same organization can inspect what a coding agent is using, provide a relevant instruction and examine the resulting code. These steps should still have separate evidence. Inventory records answer what was observed; guidelines answer what was suggested; tests and scans answer specific questions about the implementation.

The guideline mechanism is more concrete than a generic policy document because it can be tied to activation conditions, languages and categories. A team can evaluate whether the instruction appears for the right task instead of assuming that developers remember a broad handbook. However, relevance is a quality question. Guidance that fires too broadly may become noise, while guidance that misses an unusual formulation may leave the intended requirement unstated.

The ASPM layer offers another potential advantage: relating findings to source and delivery context can make remediation more actionable. OX describes correlating signals and supporting workflows such as ticketing, blocking and revalidation. A pilot should test one complete path to an owner and a verified repair. Public descriptions of consolidation do not establish the false-positive rate or effort reduction in an organization’s own repositories.

The company’s breadth is also a reason to keep evaluation disciplined. A convincing agent inventory does not prove code-scanning depth, and a strong dependency workflow does not prove a pentester’s coverage. Treat each included capability as a hypothesis with a concrete acceptance task. That approach makes the purchasing discussion more useful than a demonstration that moves rapidly between polished dashboards.

06 / QuestionsClarify coverage, authority and what remains unavailable

Ask which coding environments and agent events are supported in the proposed deployment. Activity visibility depends on how the product observes the workflow; it should not be generalized to every model call made anywhere in the organization. Determine how disconnected environments, unsupported clients and historical activity appear. A blank inventory entry should remain distinguishable from confirmed absence of use.

Review data handling for the actual integrations, including prompt content, code context, model identifiers and connected service information. Establish who can inspect that material and how retention and deletion work under the agreement. The source pages consulted explain product behavior but do not substitute for the customer’s deployment-specific data schedule. Limit the initial connection to information needed to evaluate the selected workflow.

Authority needs similar precision. Displaying a guideline, blocking a pipeline and launching an active security assessment have different operational effects. Decide which person can enable each action and how exceptions are recorded. For pentesting, agree the application scope and permitted execution before testing. A platform-level permission label should not obscure who authorized a concrete change to a development or security workflow.

Finally, keep coming-soon items out of the pilot’s acceptance promises. Recheck the pricing and product material when requesting the final quote, then verify capability access in the account itself. A planned scanner can be relevant to a future roadmap discussion without counting as current coverage. The buyer should be able to separate capabilities demonstrated today from contractual commitments and aspirations.

07 / DecisionChoose the first workflow before choosing the suite

OX Security merits evaluation where AI coding activity is becoming difficult to govern or application risks lose context between development and deployment. Start with one supported coding task and follow it from observed activity through guidance to a reviewed change. Expand only when the evidence identifies useful coverage and the quote defines its cost. The result to seek is a clearer, verifiable security decision, not simply more recorded agent activity.