#Japan #Tokyo #AI Governance #AI Utilization #Moji Inc.

Moji Inc. Launches Cloud Service for Assessing AI Utilization in Businesses

Moji Inc., based in Shibuya, Tokyo, has unveiled its innovative product, the "AI Utilization Evaluation Cloud," designed to assess and log the use of generative AI in companies in a way that is compliant and auditable. This cloud service provides businesses with a centralized platform to manage their AI usage, including popular services such as ChatGPT, Claude, Gemini, Perplexity, and Microsoft Copilot. The tool tracks usage status, associated risks, approval states, and management responsibilities, all from a single dashboard.

Not a Monitoring Tool but a Comprehensive Management Solution

The "AI Utilization Evaluation Cloud" is not merely a surveillance tool meant to impose strict bans on AI usage; instead, it identifies how various AI services are utilized across departments, aiding companies in understanding their unique utilization rules. By utilizing browser extension tools and existing logs, the system categorizes AI activities into three sections: approved uses, uses requiring caution, and those needing improvement.

Additionally, this cloud service does not aim to replace existing endpoint management services or SASE/CASB products. Rather, it complements the current monitoring frameworks by adding an AI governance layer that enhances risk evaluation, logging, approval management, and audit report generation.

Initial Data Collection and Privacy Protection Features

Moji Inc. ensures the initial data collection mechanism by offering browser extensions compatible with Google Chrome and Microsoft Edge. These extensions detect the use of generative AI services in real-time, including service usage, time of access, input length, file attachments, and potential risk signals concerning personal and confidential information. Importantly, the input text itself is not saved, thus safeguarding employee privacy and psychological safety while maintaining an accurate overview of AI utilization within the organization.

Background of the Product and Market Needs

The demand for generative AI across various business functions has significantly increased, impacting roles from planning and development to sales and customer support. While there's a clear potential for productivity enhancement through AI tools like document creation, translation, summarization, research, and code generation, the phenomenon of shadow AI—unmonitored use of AI services—has also been on the rise.

Many organizations are beginning to grasp AI service access and usage logs through technologies such as endpoint management services, SASE/CASB, DLP, and Microsoft 365. Nonetheless, challenges remain, such as determining if AI usage complies with internal policies, understanding risk elements related to information leaks, and maintaining an effective audit trail.

As the variety of generative AI services expands, every unique product's data utilization terms, learning usage, administrative controls, audit logs, and business plans must be frequently monitored—a substantial burden for IT, compliance, and security departments.

In this context, the "AI Utilization Evaluation Cloud" transforms user signals into actionable insights for compliance, risk assessment, and governance reports.

Key Features of the AI Utilization Evaluation Cloud

1. Aggregation of AI Usage Signals: The browser extension detects various generative AI service usages and aggregates relevant data such as usage time and risk signals categorized by department and user.

2. Risk Evaluation Per AI Service: Each service is assessed based on data learning, retention policies, and audit logs, allowing IT and compliance to categorize services into approved, conditionally approved, or prohibited segments easily.

3. Check Against Internal Policies: Usage data is compared against individual company policies, ensuring proper categorization of AI usages and guiding employees towards safer AI practices.

4. Automatic Generation of AI Usage Ledger: The tool creates a centralized ledger that includes details about utilized AI services, departments, approval statuses, risk assessments, and responsible parties, facilitating cohesive policy discussions across various departments.

5. Detection and Alerts for Unapproved AI Usage: Companies can set up lists for approved, cautionary, and banned AI services, with real-time alerts provided for any unauthorized usage.

6. Audit and Management Reporting: Tailored reports can be created that focus on department-wise usage, high-risk activity counts, and instances of unauthorized service utilization, benefitting numerous stakeholders within the organization.

Use Cases and Future Outlook

The "AI Utilization Evaluation Cloud" is particularly suited for enterprises that have established AI usage rules but struggle to monitor and manage the risks effectively. It's ideal for organizations looking to allow controlled AI usage rather than impose complete bans, as well as for those seeking collaborative governance across departments.

In addition to enhancing existing log use, this cloud service will look to partner with more tools, including Microsoft 365 and Google Workspace, and expand its functionalities to solidify its role as a foundation for AI governance.

Executive Statement

The CEO of Moji Inc. expressed, "While generative AI holds transformative potential for enhancing corporate productivity, organizations cannot manage risks related to information leaks and compliance if they remain unaware of how their teams utilize AI tools. It's crucial not to ban AI outright but to create an environment where it can be used securely and responsibly. Through the AI Utilization Evaluation Cloud, we aim to foster an atmosphere where companies can safely harness the power of generative AI without stifling creativity."

Additional Service Information

Service Name: AI Utilization Evaluation Cloud
Launch Date: June 2, 2026
Supported Browsers: Google Chrome, Microsoft Edge
Target Services: ChatGPT, Claude, Gemini, Perplexity, Microsoft Copilot, and others as they become available
Delivery Model: Cloud Service
Pricing: Custom quote available

In the future, Moji Inc. intends to expand its integrations, enhance the risk evaluation database, streamline approval workflows, and improve policy management within departments to strengthen the AI governance capabilities for enterprises.