Information Security

Clear Controls for Your Enterprise Information.

Design documents, customer data and operational knowledge deserve controls that match their sensitivity and purpose.

Across our development operations in Japan and Vietnam, we define where information is held, who can access it and how it is used. This page explains our safeguards and the arrangements established for each client project.

We also respond to your security questionnaires and discuss requirements specific to your organization or your customers.

Basic Policy

Information Security Policy

  1. Purpose

    Technica AI Inc. and the group companies covered by this policy (hereinafter “we”) consider the information entrusted to us by our clients to be among our most important assets. We establish this policy to prevent information security incidents (hereinafter “incidents”) and to minimize their impact should they occur.

  2. Definition of information security

    In this policy, information security means maintaining the confidentiality, integrity and availability of information assets.

  3. Scope

    This policy applies to the following sites and operations.

    • Technica AI Inc. (Chiyoda-ku, Tokyo)
    • Technica Co., Ltd. (Hanoi, Vietnam)
    • Operations covered: planning, development and provision of AI solutions, and related operations
  4. Our commitments
    • We establish rules on information security and review them continuously.
    • We provide information security training to all officers and employees within the scope of this policy.
    • We limit access to information assets to the minimum required for business purposes.
    • We comply with laws and regulations related to information security and with the contractual requirements agreed with our clients.
    • If an incident occurs, we promptly identify its cause and take measures to prevent recurrence.
  5. Responsibility

    The Representative Director and CEO bears ultimate responsibility for this policy. Officers and employees are responsible for complying with this policy and related rules, and for reporting incidents and weaknesses.

Established: June 3, 2025 Satoki Tsuyuri, Representative Director and CEO, Technica AI Inc.
Management Structure

Clear Accountability for Information Security.

Our Representative Director and CEO has ultimate responsibility for information security. The Information Security Manager oversees day-to-day implementation, supported by designated personnel at our Japan and Vietnam operations.

RoleMain duties
Chief Information Security Officer (Representative Director and CEO)Establishing security policy and directing responses to serious incidents
Information Security ManagerMaintaining security rules and coordinating training
Site leads (Tokyo, Hanoi)Day-to-day operations, entry and exit control, device management
Incident contact pointReceiving incident reports, coordinating initial response, and communicating with clients
Certifications

Certification Plans and Regulatory Compliance.

People

Security Responsibilities Across Our Teams.

Information security depends on clear responsibilities and consistent practices. We apply the following requirements for confidentiality, training, access changes, and incident reporting.

Physical Security

Physical Security at Our Development Sites.

Development takes place at our sites in Japan and Vietnam. The physical controls at each site are described below.

Technical Measures

Technical Controls for Secure Access and Operations.

AreaMeasures
HostingJapan-region cloud configurations available on request
NetworkExternal connections are permitted only via VPN
AuthenticationMulti-factor authentication and single sign-on through Google Workspace are required
DevicesOnly company-issued devices are used; personal devices may not be used for work
BackupDaily backups, defined restoration procedures, and regular restoration testing

Details of our technical measures can be provided during a project security review.

Data Handling

How We Store, Access, and Retain Client Data.

Cross-border Transfer

Agreed Controls for Data Handling in Japan and Vietnam.

Our development teams operate in Japan and Vietnam. Because the two entities are separate legal persons, transfers of personal data from our Japan entity to our Vietnam entity may be subject to Article 28 of Japan’s Act on the Protection of Personal Information (APPI), depending on the arrangement. We assess applicable requirements before data is shared.

We discuss the following data-handling approaches with clients and define the applicable controls in the project agreement.

01

Reduce or Avoid Transfers of Personal Data

Where practical, we use anonymized, synthetic, or appropriately masked data to reduce the need to transfer personal data. Masking alone does not necessarily remove information from the scope of privacy law; the status of the data is assessed before transfer.

02

Keep Personal Data Processing in Japan

Where required, processes involving personal data can be performed by our Japan-based team, with access limited according to the agreed project arrangement.

03

Apply Safeguards for Approved Cross-Border Handling

Where cross-border handling is needed, we put appropriate contractual and operational safeguards in place and assess the applicable legal requirements. Where the APPI requires equivalent protection measures, we establish and monitor the necessary arrangements.

Before processing begins, we agree on the handling locations, authorized personnel, access permissions, and relevant contractual safeguards. Third-party AI services, if approved, are governed by separate service and data-processing conditions described below.

This section concerns client project data handled by our development operations. Website inquiries and analytics services are addressed separately in our Privacy Policy.

Secure Development Lifecycle

Secure Development from Design to Delivery.

We separate project environments, access permissions, and source code to reduce the risk of unauthorized access or unintended sharing between projects.

Development changes are reviewed before production deployment, and access is managed by project. Our controls for using generative AI during development are described under AI Security.

AI Security

Controlling Data Exposure When Using AI.

AI introduces specific risks involving external model providers, confidential inputs, generated outputs, and activity logs. We distinguish between AI used in our development process and AI delivered as part of a client solution. In both cases, the permitted processing environment and data-handling conditions are agreed with the client.

Two deployment approaches are available: approved external AI services and self-hosted models. The appropriate approach depends on project requirements, information sensitivity, and the locations where processing is permitted.

01

Use of generative AI in development

Operated by us

We use AI within our software development processes under the tool, data-access, and security conditions agreed for each client engagement.

Method 01

External services

We use licensed enterprise AI services only where the project permits external processing. The approved tools, service terms, and handling of client data are reviewed against the project’s security requirements.

  • Scope of tools Only approved enterprise services may be used for client work; unapproved consumer or free-tier tools are not permitted.
  • Use for training Before using an external service, we confirm that its applicable terms prohibit using client inputs and data to train the provider’s models.
Method 02

Self-hosted execution

We run open-weight AI models in an agreed self-hosted environment without sending prompts or client data to external AI model providers. This can support projects that prohibit external AI services. The hosting location, network access, logging, and retention arrangements still need to be defined for each project; a Technica AI-managed environment is not automatically the same as the client’s own environment.

Self-hosted execution can keep model processing within an agreed controlled environment, without sending inputs to an external AI provider.

02

Use of generative AI as a product feature

Chosen by you

For product deployments, the AI architecture is selected with the client during solution design, taking into account data residency, access control, performance, and security requirements.

Method 01

External services

The product connects to an approved external LLM service. This approach can provide access to a wider range of hosted model capabilities, subject to agreed data-processing terms, performance requirements, and security controls.

If you choose this configuration, the same criteria as in “Use of generative AI in development” above apply to the scope of services used and to confirming that the contract terms exclude use for training.

Method 02

Self-hosted execution

The model runs on-premises or in an agreed dedicated environment. Model requests and responses are processed within that environment and are not sent to external AI providers as part of inference. Data storage, administration, and logging remain subject to the deployment configuration.

Product-side measures common to both methods

Incident Response

Our Incident Response Process.

Our incident response procedures cover detection, containment, notification, impact assessment, recovery, and prevention of recurrence. Clear responsibilities and escalation paths support timely action when an incident occurs.

Detection and intake Initial response and containment First report to the client Investigation of cause and impact Recovery Prevention of recurrence

For service availability, support hours and initial response targets by severity level, see our Service Level Objectives.

SECURITY CONSULTATION

Let’s Discuss Your Security Requirements.

We can discuss deployment restrictions, data handling, access controls, and development arrangements—including on-premises environments and Japan-based teams. Our team also responds to security questionnaires during vendor assessments.