LLM Compliance Guardrails: Staying Audit-Ready with Alprina

Regulators are converging on guidance for responsible AI, from the EU AI Act to NIST’s AI RMF. Compliance leaders need a way to prove controls exist without slowing product delivery. Alprina provides automated guardrails and a full audit trail that keeps you ready for any review.

Map AI usage and enforce scope

Alprina inventories all LLM interactions—customer-facing chatbots, internal copilots, batch inference jobs—and associates them with ownership, data classifications, and regional boundaries. With this inventory in hand, you can codify policies such as:

• approved AI providers and model versions,
• sanctioned data inputs and redaction requirements,
• geographic restrictions for training and storage.

Policies run automatically during scans and developer workflows, stopping non-compliant usage before it reaches production.

Capture evidence as work happens

Every policy evaluation, mitigation, and approval is logged with timestamps, approvers, and linked artifacts. Compliance teams can filter evidence by regulation (PCI DSS, SOC 2, HIPAA) or control mapping. When auditors request proof, exporting a PDF or JSON bundle takes seconds—no more chasing screenshots or Slack threads.

Collaborate with engineering without friction

Compliance is most effective when engineers see it as partnership. Inside IDEs like VS Code and Zed, Alprina surfaces policy context and safer alternatives. GPT-backed explanations translate legal language into actionable engineering guidance, reducing back-and-forth and helping teams ship features that are compliant from day one.

With Alprina, compliance leaders move from reactive oversight to proactive assurance—keeping AI innovation on track while satisfying regulators and customers alike.