Responsible AI at Treasure Data

Our commitment to responsible AI underscores our dedication to ethical innovation and user trust. By implementing rigorous policies and collaborating with industry leaders, Treasure Data promotes the development and deployment of AI technologies that are safe, fair, and reliable.

Responsible AI

Treasure Data’s Intelligent Customer Data Platform delivers advanced tools and technologies rooted in robust data management and infrastructure. Its AI-driven agents, leveraging the Diamond Record, enable precise, real-time data activation and informed decision-making to transform customer data into meaningful business outcomes. By utilizing the Intelligent Customer Data Platform and incorporating comprehensive AI governance capabilities, we enhance the productivity of our customers while supporting adherence to ethical standards and regulatory requirements.

Treasure Data recognizes the importance of responsible AI development and usage. We are committed to promoting safe and ethical practices in the creation and deployment of generative AI technologies. This document outlines our principles, policies, and collaborations to support the responsible use of AI across our agentic experience platform.

Top challenges our industry faces when applying AI in CDPs

AI models may process or infer sensitive personal data in ways that violate privacy regulations such as GDPR or CCPA.

Models trained on biased or incomplete data can produce unfair or discriminatory outcomes in customer targeting or segmentation.

AI-driven decisions within the CDP are often opaque, making it difficult for users to understand or justify outcomes.

Customer data may be repurposed for AI applications in ways that extend beyond the original consent or intended use.

AI components introduce new vulnerabilities such as prompt injection, model inversion, or data leakage that can compromise customer data security.

Assessing the SaaS provider not only for traditional security and compliance standards (e.g., ISO 27001, SOC 2) but also for its approach to AI governance—ensuring transparency, ethical use, and accountability in AI systems.

Not all AI services can handle heavy loads in the real world usage with minimum latency and degradation.

AI usage across regions can conflict with local data sovereignty laws and behave inconsistently due to regional data differences.

Treasure Data core principles of Responsible AI

While we are committed to applying responsible AI principles into our products and services, we recognize that our customers play a critical shared role in ensuring ethical and compliant use, and our goal is to support the responsible adoption of AI, not solve the broader industry-wide challenges of Responsible AI. Our approach is built on several core dimensions:

 

Fairness

Treasure Data is committed to promoting fairness by embedding practices in our AI services that aim to mitigate biases and support equitable outcomes across diverse customer data segments and use cases.

Explainability

We strive to make our AI-powered features transparent and understandable to support users’ interpretability, auditability and trust.

Privacy and security

No Treasure Data employee has direct access to customer data. Treasure Data safeguards personal and enterprise data with a comprehensive, defense-in-depth strategy. Our product incorporates industry-leading access control and authorization mechanisms, enforcing strict policy based access controls and fine-grained permissions throughout all AI-driven processes and model lifecycles. All customer data is encrypted both at rest and in transit with the NIST-approved encryption standard AES-256, which is used by financial institutions and governments worldwide. These controls are supported by continuous threat detection, robust network segmentation, and automated vulnerability scanning, ensuring consistent security across our AI systems.

Safety

We proactively design AI services with risk mitigation strategies to prevent harmful, misleading, or unintended outcomes, especially in high-stakes customer engagement and personalization scenarios.

Reliability

Treasure Data prioritizes accuracy and resilience in AI outputs, even under variable or edge-case input conditions, to support reliable customer insights and actions.

Oversight and governance

We embed Responsible AI practices throughout the entire AI lifecycle—from data ingestion and model development to deployment and monitoring—supporting accountability and compliance.

Transparency

We are dedicated to open communication about how AI systems are designed, trained, and used within our platform, enabling customers to make informed and confident decisions.

Supply chain management

We enforce transparency, accountability, and continuous oversight of third-party data, models, and tools to promote ethical, secure, and compliant AI systems.

Treasure Data AI Acceptable Use Policy

We set clear expectations about how our AI services should not be used in our AI Acceptable Use Policy.

Learn more about our terms of service under which the AI Services are made available to customers. 

Collaborative efforts and resources

 

Amazon Web Services (AWS) Responsible AI

Through a robust and enduring partnership, we leverage AWS’s world-class tools and guidelines to support the responsible use of AI. By integrating AWS’s industry-leading technologies such as Amazon Bedrock and other controls for implementing safeguards in generative AI, we are committed to providing AI solutions that our customers can use in a safe, fair, and reliable manner. This collaboration underscores the strong, trusted, and long-term alliance between Treasure Data and AWS, positioning us at the forefront of responsible AI practices in our CDP.

Amazon Web Services (AWS) Responsible AI
Zero Data Retention by Third Party

Zero data retention by third party

While AWS is used as our cloud infrastructure provider, no customer data is retained by AWS.

Third-party compliance

We adhere to third-party policies such as Anthropic’s Usage Policy and AWS’s Acceptable Use Policy and Responsible AI Policy.

Third-Party Compliance

Regional aware global scale

Treasure Data’s global team is committed to maintaining a strong data privacy and security posture as a data processor, aligned with applicable regulations and best practices across the regions in which we operate. In Japan, we align our internal practices with the country’s evolving privacy framework and voluntary, human-centered AI principles emphasizing transparency, safety, and societal benefit as reflected in the Act on the Protection of Personal Information (APPI) and related governance initiatives.

In the United States, we recognize the complex and evolving regulatory landscape governing AI and data, including federal requirements and an expanding number of state-level privacy laws. While our platform is not a turnkey compliance solution, it is developed with awareness of emerging regulatory trends and incorporates practices aligned with principles of fair and responsible data use, such as those emphasized by the Federal Trade Commission (FTC).

Across the European Union, we are dedicated to meeting the robust requirements established by the General Data Protection Regulation (GDPR) and the EU AI Act. We embrace principles of transparency, risk management, accountability, and data subject rights ensuring that our services remain adaptable and compliant in the context of these requirements.

Globally, our commitment extends beyond legal compliance. Treasure Data embeds fairness, transparency, accountability, privacy, and safety into our organization’s philosophy and operations. While customers remain responsible for their own compliance obligations, we believe that our responsible AI approach and strong data governance foundations help position them to better navigate the evolving landscape of AI-related regulations and standards.

For more information about Treasure Data’s compliance and trust documents, including a list of certifications to various global standards such as ISO27701 on Privacy Information Management System, please visit our Trust Center.

Continuous improvement and training

Treasure Data continuously updates its policies and practices in alignment with advancements in AI technology and regulation changes. We encourage ongoing learning through resources provided by partners like AWS, including courses on responsible AI practices, security, privacy, compliance, and governance in AI solutions.