EthiCompass
07

Deployment Comparative Table

Proof · Cloud and Enterprise, Side by Side

Proof · Cloud

Purpose

Adversarial red-teaming of your AI systems — your risk baseline

Deployment

Cloud, pay per analysis

Integration

Minimal: API endpoints and model access for each run

Core Outputs

Score Card, 8-dimension scorecard, remediation path

Key Benefits

Rapid risk baseline; no IT lift; grounded adversarial attacks

Primary Users

CRO, DPO, Board — understanding initial risk posture

EU AI Act

Findings mapped to the measurement dimensions

Audit Trail

Immutable audit trail of all findings

Evidence Model

Occurrence rate over N runs with a coverage report

Enterprise

Purpose

On-premise red-teaming with multi-framework readiness

Deployment

On-premise, deployed inside your environment

Integration

Deployed within your existing AI infrastructure

Core Outputs

Score Card plus multi-framework readiness per project

Key Benefits

Data stays on-premise; multi-framework readiness; annual support

Primary Users

Compliance teams, CISO — multi-framework readiness

EU AI Act

Readiness across frameworks via the dimensions → 9 → frameworks mapping

Audit Trail

Immutable, hash-citable, 7+ year retention

Evidence Model

Occurrence rate over N runs; readiness per framework