Responsible AI principles

As Zetaris continues to empower organizations with advanced data virtualization and analytics capabilities, the responsible development and use of artificial intelligence is essential to maintaining trust, transparency, and positive impact. Our Responsible AI principles guide how we design, deploy, and govern AI-enabled features across the Zetaris Data Fabric platform.

1. Transparency and Explainability

Zetaris is committed to ensuring that AI-driven insights are understandable and traceable. We aim to provide clear context around how models operate, what data they use, and how outcomes are generated. This transparency empowers users to make informed decisions rather than rely on opaque algorithms.

2. Privacy and Data Protection

Data privacy is central to the Zetaris mission. AI systems within the platform are designed with privacy-by-default principles, ensuring personal and sensitive information is handled ethically, securely, and in compliance with relevant regulations. Data remains within the customer’s environment, preserving control and confidentiality.

3. Fairness and Bias Mitigation

We recognize that AI must work equitably for all users and stakeholders. Zetaris follows processes to identify, measure, and mitigate bias in AI models and data sources. Our goal is to promote fairness in analytics outcomes and prevent discriminatory or unjust impacts.

4. Security and Robustness

AI systems must be safeguarded against misuse and vulnerabilities. Zetaris integrates strong security protocols, continuous monitoring, and rigorous testing to ensure AI features remain resilient, reliable, and protected from adversarial risks.

5. Human-Centered Design and Accountability

AI should augment—not replace—human expertise. Zetaris prioritizes human oversight, ensuring users remain in control of critical decisions. We maintain accountability for the AI tools we build by establishing governance processes, documentation standards, and clear pathways for user feedback and issue escalation.

6. Social and Environmental Responsibility

Zetaris aims to develop AI technologies that contribute positively to society. This includes reducing unnecessary computational overhead, supporting sustainable data practices, and encouraging responsible use cases that align with ethical and societal values.

Conclusion

By embedding these principles into the core of our technology and operations, Zetaris ensures that AI is used responsibly, ethically, and for the benefit of our customers and their communities. Our commitment to Responsible AI strengthens trust and reinforces our mission to make data more accessible, secure, and actionable.