Responsible AI Policy
Last Updated: June 03, 2026
This KubeKanvas Responsible AI Policy ("Policy") applies to your use of artificial intelligence and machine learning features and functionality that we provide through the KubeKanvas platform (collectively, "AI Features"). This includes AI-assisted Kubernetes manifest generation, configuration suggestions, template recommendations, and any other AI-powered capabilities we offer now or in the future. By registering an account at KubeKanvas, you agree to the terms present on this page and our general Terms of Service and Privacy Policy.
1. Prohibited Uses
You may not use, or facilitate or allow others to use, the AI Features:
- to generate intentionally false, misleading, or deceptive Kubernetes configurations, documentation, or technical guidance designed to harm others;
- to violate the privacy rights of others, including through unlawful tracking, monitoring, or identification of individuals via infrastructure configurations;
- to generate content that depicts a person's identity, voice, or likeness without their consent;
- for any purpose that causes harm or abuse to a minor;
- to harass, harm, or facilitate harm against individuals or specific groups;
- to intentionally circumvent safety filters, override model guardrails, or prompt AI models to act in a manner that violates this Policy or our Terms of Service;
- to automate consequential infrastructure changes — such as production cluster modifications or security policy overrides — without appropriate human review and authorization;
- for any illegal purpose, including violating applicable export control, data protection, or cybersecurity laws.
2. Responsible AI Requirements
2.1 Human Oversight for Consequential Decisions
If you use AI Features to inform or automate consequential infrastructure or operational decisions — such as changes to production Kubernetes clusters, security contexts, access controls, resource limits, or network policies — you must evaluate the potential risks of your use case and implement appropriate human oversight, testing, and validation steps before applying any AI-generated output.
AI-generated Kubernetes manifests and configurations are suggestions, not verified production-ready artifacts. You are responsible for reviewing all AI outputs before applying them to any environment.
2.2 Accuracy and Validation
Our AI Features use machine learning models that generate outputs based on patterns in data. Outputs are probabilistic and may contain inaccuracies, outdated API versions, misconfigurations, or content that is inappropriate for your specific environment or workload. You are responsible for evaluating all AI-generated content for accuracy, compatibility, and appropriateness before use.
2.3 Responsibility for Outcomes
You and your team are responsible for all infrastructure decisions made, actions taken, and outcomes resulting from your use of AI Features — including any failures, misconfigurations, outages, or security incidents. KubeKanvas AI Features are tools to assist your workflow, not autonomous agents that carry independent responsibility for the deployments they help configure.
2.4 Legal Compliance
It is your responsibility to ensure that your use of AI Features complies with all applicable laws, regulations, and standards. This includes but is not limited to:
- Data protection regulations such as the EU General Data Protection Regulation (GDPR)
- AI-specific regulations such as the EU AI Act
- Industry-specific compliance requirements (e.g., HIPAA, SOC 2, PCI-DSS) relevant to the workloads you manage with KubeKanvas
- Export control laws and sanctions applicable to your jurisdiction
2.5 Transparency and Cooperation
You agree to provide KubeKanvas with accurate information about your intended uses of AI Features upon request, and to cooperate with any investigation into potential violations of this Policy.
3. How KubeKanvas Approaches Responsible AI
KubeKanvas is committed to developing and deploying AI Features that are safe, fair, and helpful for Kubernetes practitioners. Our approach includes:
- Safety by design: AI Features are built with safety filters and guardrails to reduce the likelihood of generating harmful or dangerous outputs.
- Kubernetes-specific grounding: Our AI models are guided by Kubernetes best practices, API standards, and security baselines to improve the reliability of generated configurations.
- Transparency: We clearly label AI-generated content within the platform so you always know when a suggestion comes from an AI model versus a verified human-authored template.
- Continuous improvement: We actively monitor AI Feature quality and safety, and we update our models and guardrails as we learn from usage and community feedback.
- User control: You remain in full control of your Kubernetes configurations. AI Features generate suggestions — you decide what gets applied.
4. Enforcement
KubeKanvas may investigate and take action in response to violations of this Policy, including suspending or terminating access to AI Features or the platform as a whole, consistent with our Terms of Service. We reserve the right to update this Policy as our AI Features evolve and as applicable laws and best practices develop.
5. Contact Us
If you have questions about this Policy, believe you have encountered a violation, or want to report a concern about the safety or fairness of our AI Features, please contact us: