Auditable cloud governance for AI‑driven infrastructure
🔒 PROPRIETARY & CONFIDENTIAL – TRADE SECRETS
This document describes high‑level capabilities only. Detailed algorithms, source code, and implementation methods are trade secrets of ARF Foundation. Unauthorized copying, redistribution, reverse engineering, or training of AI models on this content is strictly prohibited. See LICENSE for legal terms.
ARF is an access‑controlled governance layer that transforms probabilistic AI into deterministic, auditable, and mechanically enforced outcomes — built for environments where trust is non‑negotiable.
- Deterministic – Same inputs → same output. No hidden randomness.
- Auditable – Every decision is signed and stored for compliance.
- Cloud‑agnostic – Works with AWS, Azure, GCP, or on‑prem.
- Enterprise‑ready – SSO + RBAC.
👉 Explore the public demo (mock data only)
Every AI‑generated infrastructure decision is evaluated in real time and classified into three outcomes:
| Outcome | Meaning |
|---|---|
| ✅ Approve | Safe – proceed automatically. |
| Uncertain or high risk – human review. | |
| ❌ Deny | Policy violation or unacceptable risk – blocked. |
Each decision comes with:
- A plain‑English justification
- A full audit trail
- A confidence score
curl -X POST https://a-r-f-arf-sandbox-api.hf.space/v1/evaluate \
-H "Content-Type: application/json" \
-d '{"service_name":"api","event_type":"latency","severity":"high"}'
⚠️ Returns simulated responses only. The real engine is not publicly accessible.
ModelDescriptionSandboxAdvisory, mock data, free.PilotTime‑limited, free, founder‑led onboarding.EnterpriseFull enforcement, audit trails, SSO, SLA.
All pricing is outcome‑based – you pay only for verified risk reduction.
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Immutable audit logs – cryptographically signed.
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Designed for SOC2, ISO 27001, GDPR.
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No raw customer data retained.
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Policy gates cannot be bypassed.
🔒 All other repositories are private and access‑controlled.
robots.txt blocks GPTBot, CCBot, Google-Extended and disallows /api/, /v1/, /private/. AI agents are prohibited from training on ARF‑related content.
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Email: juan@arf-ai.com
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LinkedIn: Juan Petter
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Book a call: 30‑Min Consultation
