safety
governance & safety
Ethics and AI Alignment
At Nrutseab, ethical AI development is foundational. Nut adheres to principles from established frameworks, including the EU AI Act's high-risk guidelines and the Partnership on AI's best practices.
Key commitments include:
Bias Mitigation: Rigorous validation in data pipelines to minimize cultural or financial biases, with third-party audits planned pre-beta.
Human-Centric Design: Mandatory human oversight via the Safety Net Protocol (SNP) to prevent autonomous risks.
Sustainability: Optimization of compute resources in the CEE to reduce environmental impact.
Open Collaboration: We pledge to share non-proprietary safety research and invite feedback on alignment challenges.
Nut is designed not just for capability, but for responsible deployment—ensuring AGI benefits enterprises without unintended harm.
Ethical Design
Nut aligns with EU AI Act and ISO 42001, ensuring bias mitigation via adversarial debiasing (loss penalty 0.01), human oversight with Role-Based Access Control (RBAC) (admin, auditor), and energy efficiency (< 500 kWh/model-day).
Safety Mechanisms
SNP: GAN critic (D-loss < 0.1), SHA-256 ledger, 95% confidence threshold.
Policy Layer: Regex-based enforcement (e.g., no MNPI trading).
Abuse Detection: Anomaly detection (Z-score > 3) for market manipulation.
Enterprise-Level Safety
Encryption: Engineered to FIPS 140-3 standards (AES-256, TLS 1.3) — certification roadmap in progress.
Data Privacy: GDPR-aligned handling and zero-trust access controls.
Resilience: 99.99% uptime, fault-tolerant architecture, and protection against simulated 10+ Gbps DDoS attacks (enterprise-grade).
Auditability: Immutable, real-time system logs to support regulator-grade compliance.