Core Capability

Prove

Evidence stakeholders can trust.

A clear ship/no-ship decision.

One policy. Every framework. One-tap audit reports — generated continuously at runtime, not once a quarter.

Overview

Enterprises deploying AI agents face a growing patchwork of regulatory frameworks — each with its own taxonomy, control families, and evidence requirements. SinzAI Prove eliminates the compliance translation layer. Define your governance policies once, and SinzAI automatically crosswalks them to every relevant framework.

The result is evidence stakeholders can trust — produced continuously and automatically at runtime from the action ledger, enforcement logs, and trust score history. Unlike quarterly human evaluations, Prove never goes stale. This powers ship/no-ship decisions before every deployment and governance reviews at any cadence: when the board asks "Can we ship?", Prove gives you a single source of truth to answer with confidence.

One-tap audit reports compile live evidence from the action ledger, policy enforcement logs, and trust score history — no spreadsheet assembly, no screenshot collection, no manual evidence gathering.

Supported Frameworks

NIST AI RMF 1.0

AI Risk Management Framework

Maps to the four core functions: Govern, Map, Measure, Manage. Every SinzAI policy maps to at least one RMF subcategory. The audit report groups evidence by RMF function for direct submission.

OWASP LLM Top 10

LLM Application Security Risks

Crosswalks SinzAI policies to OWASP Top 10 categories including prompt injection (LLM01), insecure output handling (LLM02), excessive agency (LLM08), and overreliance (LLM09).

EU AI Act

Regulation (EU) 2024/1689

Maps governance controls to EU AI Act requirements including risk classification (Article 6), human oversight (Article 14), transparency (Article 13), and record-keeping (Article 12).

ISO/IEC 42001

AI Management System

Aligns to ISO 42001 clauses including AI policy (5.2), risk assessment (6.1.2), AI system impact assessment (8.1), and monitoring & measurement (9.1).

Living Crosswalk

The crosswalk is not a static spreadsheet. Every mapping is re-evaluated when:

  • A governance policy is created, updated, or deleted
  • An agent's model version changes (new model → re-evaluate OWASP mappings)
  • An agent's ownership changes (new team → re-evaluate access scope mappings)
  • A framework is updated (e.g., NIST releases AI RMF 2.0)
  • A new regulation takes effect in a jurisdiction where the agent operates

Living crosswalk means no compliance gap between audit cycles. When a mapping changes, affected audit reports are flagged for review — you decide whether to regenerate immediately or at the next scheduled audit.

One-Tap Audit Reports

When it's time to ship — a new agent deployment, a model upgrade, an expanded scope — Prove generates a complete audit report for any framework with a single click. Each report is compiled from live runtime data — the action ledger, enforcement logs, and trust score history — not stale snapshots or manual spreadsheets.

  • Control mapping table — every framework control mapped to a SinzAI policy
  • Evidence package — live ledger entries, enforcement logs, trust score history
  • Gap analysis — controls without full coverage, with remediation recommendations
  • Executive summary — compliance posture at a glance
  • Timestamped, digitally signed PDF export