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Sentinel AI Governance & Risk Intelligence On AMD
Enterprises adopting AI face a bottleneck: someone must manually review AI policies, vendor contracts, and compliance reports to find what's risky. This is slow, falls on stretched compliance teams, and most tools route sensitive documents through third-party AI APIs a governance red flag for companies that most need this analysis. Sentinel AI is a multi-agent AI Governance, Security, Compliance, and Risk Intelligence platform. Upload a policy or contract and it runs a pipeline of agents: a Security Risk Agent (weaknesses, risk score, categorized findings), a Compliance Agent (alignment against ISO 27001 / NIST CSF, mapped to controls), and an Orchestrator that combines outputs into one report. Every response is validated against a strict Pydantic schema before reaching the database or UI. Why AMD: the biggest factor in trustworthy AI governance tooling is where the data goes. Sentinel AI runs its entire inference pipeline on AMD GPU infrastructure Gemma-2-2B is served locally via vLLM directly on AMD-provisioned GPU compute, with no external AI API call anywhere in the system. Local inference on trusted infrastructure is the correct architecture here, not a shortcut. Targets CISOs, compliance officers, and procurement teams evaluating AI vendor contracts, as regulatory pressure (EU AI Act, SOC 2, HIPAA, GDPR) grows. "Runs on your own infra, never touches a third party" is often a procurement requirement. Stack: FastAPI, SQLAlchemy, JWT auth; Gemma-2-2B via vLLM on AMD GPU; React, TypeScript, Tailwind; Docker. Complete: auth, multi-project workspace, document parsing, live multi-agent analysis on AMD GPU inference, calibrated risk scoring, compliance mapping, real dashboard.
13 Jul 2026
