Compliant AI
Trustworthy AI by design: governance, guardrails, and auditability across the lifecycle.
AI Governance
Every AI capability is governed by clear policies and documented assumptions. We align with emerging regulations and internal risk frameworks.
- Documented model cards, data lineage, and evaluation criteria
- Policy-aligned usage guidelines and escalation paths
- Access controls and environment separation
- Change management with approvals and versioning
Safety & Guardrails
We design for safety first—constraining models to approved contexts, filtering unsafe content, and handling failure modes predictably.
- Input/output filtering and content safety checks
- Prompt hardening and scoped capabilities
- Rate limits, timeouts, and failure containment
- Fallbacks and human escalation on uncertainty
Human-in-the-Loop
Humans remain accountable. RegPass™ accelerates workflows while ensuring qualified reviewers approve policy changes and customer-facing outputs.
- Explicit checkpoints for human review and approval
- Reviewer assignment, SLAs, and attestations
- Observable decision trails and override controls
- Training data feedback from human decisions
Model‑Agnostic by Design
RegPass™ abstracts the model layer so you can choose what fits your risk posture: leading hosted LLMs, private cloud/VPC endpoints, or fully offline models. Where required, we run inside your network with no external calls.
- Run on any modern LLM via standard APIs
- Private cloud/VPC endpoints with customer‑managed keys
- Airgapped, fully offline deployments supported (e.g., GPT‑OSS)
- Pluggable inference layer and routing with policy controls
Auditability
Every AI-assisted action leaves a trail. We capture context, reasoning summaries, and approvals so you can demonstrate control at any time.
- Complete logs of prompts, context, and outputs with timestamps
- Citations and reasoning chains for explainability
- Immutable evidence packs for auditors and regulators
- PII handling and data retention controls
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