Responsible AI Commitments

All capitalized terms not defined here carry the meanings assigned in the Neural Hiive Software Subscription Agreement or your governing customer contract. The platform combines Retrieval-Augmented Generation (RAG), vector search, and enterprise-grade large language models (LLMs) to enhance productivity and automation experiences across your organization.

• Safe by Design: Privacy-first architecture with strict tenant isolation and minimal data exposure at every layer.
• Zero-Retention Models: Third-party LLM providers are selected specifically for zero data retention; your inputs never train external models.
• Transparent Governance: Clear documentation of how AI outputs are generated, retrieved, and governed within your organization.
• Responsible Innovation: Bias mitigation, ethical guidelines, and continuous risk assessments embedded throughout the AI lifecycle.

General Information

What AI technologies power the platform?

The platform is built on Retrieval-Augmented Generation (RAG), which grounds AI responses in your organization's own content to reduce hallucinations and improve accuracy. Natural language processing enables conversational interactions across assistants and workflows, while vector similarity search powers fast, semantically relevant retrieval from your connected knowledge sources. For generative tasks, The platform uses enterprise-grade third-party large language models (LLMs) selected specifically for inference; they are contractually restricted from storing or training on your data. All AI providers are subject to strict licensing, security, and privacy assessment before adoption.

How does Neural Hiive manage ethical and legal risk?

Neural Hiive proactively identifies and mitigates ethical and legal risks across the platform. Bias mitigation practices are applied to prompt engineering and retrieval pipelines to reduce skewed or harmful outputs, and in-platform guidance sets clear expectations around appropriate reliance on AI-generated content. Compliance with IP, copyright, and applicable data protection legislation is treated as a baseline requirement, not an afterthought. Privacy and security considerations are covered in detail in the sections below.

Your Data & Neural Hiive AI Features

Every customer operates in a fully isolated tenant environment; your data cannot be accessed, referenced, or surfaced in another organization's AI experience. Third-party LLMs process your queries strictly for inference within a session and are contractually bound to zero-retention obligations. Enterprise customers may review these data handling commitments in detail via their Software Subscription Agreement.

Data & Privacy Considerations

How does the platform handle personal data?

The platform's AI features do not require personally identifiable information (PII) to function. PII is excluded from vectorization pipelines and LLM prompts by design. All AI processing remains covered under your existing data protection agreements with Neural Hiive. Any future AI feature that involves PII will include advance notice to customers and a structured opt-in process before activation.

What safeguards are in place for data privacy?

• All data is encrypted in transit and at rest. See the Security section for full technical details.
• Access is governed by strict role-based permissions and least-privilege principles.
• Ongoing privacy risk assessments and privacy-by-design practices are embedded throughout the AI development lifecycle.

Security

How does Neural Hiive protect AI-generated content and associated data?

Security is embedded across all layers of the platform's AI stack:

• Encryption: Data is encrypted in transit using TLS and at rest using AES-256, including all vectors, embeddings, and cached outputs.
• Access controls: AI features enforce the same role-based access controls as the rest of the Neural Hiive platform. Users can only retrieve content they are already authorized to access.
• Audit logging: AI interactions are captured in audit logs to support governance, incident investigation, and compliance reporting.
• Infrastructure isolation: AI compute and storage resources are logically isolated per tenant, preventing cross-contamination of data or model context.
• Vendor due diligence: All third-party AI providers undergo security assessment and are required to maintain SOC 2 Type II certification or equivalent.

Transparency & Interpretability

What level of transparency is available for AI outputs?

Neural Hiive provides meaningful transparency into how the platform's AI features operate:

• RAG transparency: The platform surfaces which tenant content was retrieved and used to inform a given AI response, enabling users to trace output provenance back to specific source documents.
• Structured prompting: Guardrails and structured prompt templates are used to keep AI behavior predictable and aligned with your organization's context.
• Third-party LLM opacity: The underlying LLMs themselves operate as black boxes; Neural Hiive cannot expose their internal reasoning steps, which is a limitation shared across the industry.
• Roadmap: Additional interpretability features, including confidence indicators and source attribution scoring, are on the product roadmap.

How does Neural Hiive handle AI bias and fairness?

Neural Hiive takes a proactive stance on bias management:

• Prompt engineering guidelines are reviewed to reduce the risk of skewed or discriminatory outputs.
• Retrieval pipelines are designed to surface a representative range of content rather than over-indexing on recent or high-frequency material.
• We monitor for systematic output patterns that may indicate bias and update our guardrails accordingly.
• Customers are encouraged to report any AI output they believe reflects bias or inaccuracy, so we can investigate and improve.

Liability

What is the liability framework for AI-generated content?

Neural Hiive's liability commitments regarding AI-generated materials are governed by the customer's Software Subscription Agreement established during procurement. The Agreement sets out the scope of liability, indemnification terms, and any applicable service-level commitments related to AI feature availability and accuracy.

We recommend enterprise customers review the AI-specific provisions of their Software Subscription Agreement with their legal team. If you do not yet have an agreement in place or would like to discuss AI-specific contractual terms, please contact your Neural Hiive account team.

Contact & Support

If you have questions or feedback about AI trust and safety at Neural Hiive, we want to hear from you. Our team aims to respond to trust and safety inquiries as promptly as possible.

You may also reach your dedicated Neural Hiive account team directly for questions specific to your subscription, or contractual terms. Customers can request a copy of agreement terms by contacting legal@neuralhiive.ai .