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OpenAI Enhances ChatGPT Enterprise with New Analytics and Privacy Controls

18 JUNE 2026·2 MIN READ·2 SOURCES·Official source plus independent coverage

OpenAI has rolled out credit usage analytics and updated spend controls for ChatGPT Enterprise, complementing the platform's existing security and privacy guarantees.

OpenAI Enhances ChatGPT Enterprise with New Analytics and Privacy Controls

Key takeaways · 3

  • 01

    Administrators can track ChatGPT and Codex usage via the Global Admin Console or Cost API.

  • 02

    ChatGPT Enterprise encrypts all conversations both at rest and in transit.

  • 03

    OpenAI does not use ChatGPT Enterprise customer data to train its models.

Spend Controls and Analytics

OpenAI introduced credit usage analytics and updated spend controls for ChatGPT Enterprise. [1] The Global Admin Console now combines ChatGPT and Codex credit usage into a single view. [1] Administrators can break down credit spending by user, product, and model. [1] Organizations can also access this credit usage data through a unified Cost API. [1]

Security and Privacy

ChatGPT Enterprise provides unlimited access to a high-speed version of GPT-4. [2] The platform encrypts all conversations both in transit and at rest. [2] OpenAI commits that businesses own their data and the company does not train on it. [2] The enterprise platform is compliant with SOC 2 standards. [2]

What it means

The combination of granular billing visibility and strict data security protocols positions ChatGPT Enterprise as a mature corporate IT asset. By offering SOC 2 compliance alongside the new Global Admin Console controls, OpenAI addresses primary enterprise objections regarding data exposure and budget overruns. These governance features help distinguish OpenAI's enterprise offering from its consumer tier, giving IT leaders the monitoring tools necessary to justify expansive deployments. What the sources don't address: How the pricing structure and specific credit usage limits scale for multinational organizations deploying these models to tens of thousands of employees.

Granular spend controls and strict privacy commitments are essential for deploying generative AI at scale. These features allow IT administrators to manage AI budgets effectively while meeting corporate security standards.

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How this developed

  1. 18 June 2026

    Event created from source cluster.

Sources

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