AI Ethics & Responsible Use
AI Ethics & Governance — Discoverable, Scoreable, Reportable
SynoGuard AI's AI Ethics & Responsible Use module discovers, classifies, scores, and reports on AI tool usage across every client environment the MSP manages. A dedicated lightweight endpoint agent (<50 MB, <1% CPU, Windows 10/11) performs metadata-only scanning — process names, DNS queries, network destinations, and browser extensions — to detect 250+ AI services including ChatGPT, Claude, Grok, Microsoft Copilot, Google Gemini, and Perplexity. Zero content inspection. Zero keylogging. Zero clipboard access.
Detected AI usage is classified by EU AI Act risk tier, mapped to NIST AI RMF, ISO 42001, and IEEE 7000 controls, scored with an Ethics Posture Score (0–100), and surfaced in 6 ethics reports — including an auto-generated AI Acceptable Use Policy. MSPs can demonstrate responsible AI governance to auditors, insurers, and regulated clients without any manual evidence collection.
Endpoint Agent
Lightweight. Privacy-First. Deployable via Your Existing RMM.
What the agent collects: Process names, DNS query destinations, network connection endpoints, and browser extension IDs. It does not read file contents, clipboard data, keystrokes, screen captures, or email/chat messages. All data is transmitted encrypted to the SynoGuard AI platform and used exclusively for AI service detection and ethics classification.
AI Service Detection
250+ AI Services Detected & Risk-Classified
Every detected AI service is classified by EU AI Act risk tier and mapped to the client's AI governance policy. The detection library is continuously updated as new AI services emerge.
ChatGPT
OpenAI
Claude
Anthropic
Grok
xAI
Microsoft Copilot
Microsoft
Google Gemini
Perplexity AI
Perplexity
GitHub Copilot
GitHub/OpenAI
Midjourney
Midjourney
Stable Diffusion
Stability AI
Hugging Face
Hugging Face
Meta AI
Meta
+ 240 more
Continuously updated
Ethics Registry & Scoring
AI Ethics Registry & Ethics Posture Scores
AI Ethics Registry
A per-client inventory of every AI tool detected in the environment. Each entry records the AI service name, vendor, purpose, EU AI Act risk tier, data categories potentially accessed, approval status (sanctioned / tolerated / prohibited), last review date, and the governance policy that applies to it.
- Automatically populated from endpoint agent detections
- MSP can add manual entries for approved AI tools
- Approval workflow with audit trail
- Exportable as evidence for auditors and insurers
- Integrated with AI Governance Policy auto-generation
Ethics Posture Score (0–100)
A composite score that quantifies the client's AI ethics and responsible use posture across six dimensions. Updated continuously as new AI usage is detected or governance actions are taken.
Ethics Reports
Six AI Ethics Reports — Audit-Ready on Demand
All six reports are generated automatically from the AI Ethics Registry and endpoint agent data. No manual evidence collection required.
AI Ethics Posture Report
Overall Ethics Posture Score (0–100) per client, trend over time, breakdown by category (transparency, fairness, privacy, accountability, safety, robustness), and top remediation priorities.
Shadow AI Usage Report
All detected AI service usage per client, classified by sanctioned / tolerated / prohibited status, EU AI Act risk tier, data exposure risk level, and recommended governance action.
AI Ethics Registry Report
Full inventory of all AI tools in use across the client environment, with metadata: vendor, purpose, risk tier, data categories accessed, approval status, and last review date.
EU AI Act Compliance Report
Mapping of all detected AI systems to EU AI Act risk categories (Unacceptable, High, Limited, Minimal). Identifies prohibited AI uses and high-risk AI systems requiring conformity assessment.
Responsible AI Framework Alignment Report
Alignment of the client's AI governance posture against NIST AI RMF, ISO 42001, and IEEE 7000. Gap analysis with prioritized remediation steps.
AI Governance Policy Report
Auto-generated AI Acceptable Use Policy (AUP) and AI Governance Policy documents, pre-populated with the client's detected AI inventory and tailored to their applicable regulatory frameworks.
Responsible AI Frameworks
Aligned to Four Responsible AI Standards
NIST AI RMF
NIST AI Risk Management Framework
Maps AI governance controls to the four NIST AI RMF functions: Govern, Map, Measure, and Manage. Produces an AI RMF alignment score per client.
EU AI Act
European Union Artificial Intelligence Act
Classifies all detected AI systems by EU AI Act risk tier (Unacceptable, High, Limited, Minimal). Identifies prohibited AI uses and high-risk systems requiring conformity assessment.
ISO 42001
ISO/IEC 42001 — AI Management System
Aligns the client's AI governance posture to the ISO 42001 AI management system standard. Supports certification readiness for organizations pursuing ISO 42001.
IEEE 7000
IEEE 7000 — Ethically Aligned Design
Maps AI ethics controls to IEEE 7000 value-based engineering principles. Supports organizations that have adopted IEEE Ethically Aligned Design as a governance standard.
Platform Governance
Governance Controls Built Into the Platform
Immutable Audit Trail
Every AI inference, every generated document, and every automated remediation is written to a tamper-evident log with the model version, the input fingerprint, the output, and the human or system actor that triggered it.
Human-in-the-Loop Gates
MSPs configure which categories of action require technician approval before execution. Approval gates are enforced at the platform level and cannot be bypassed by the AI layer.
Model Inventory
The platform maintains a live inventory of every AI model in use, its version, its training data lineage at the category level, and the date of its last evaluation.
Data Minimization
The AI layer operates on the minimum data necessary for each task. Client telemetry is not used to train shared models without explicit MSP consent.
Tenant Isolation
AI inferences are scoped to a single tenant. Data from one MSP's clients is never visible to another MSP's models or outputs.
Explainability
Every risk score and every generated document includes a 'why' view showing the evidence and the reasoning path. Every ethics finding is traceable to the original endpoint telemetry record.
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Questions about AI ethics governance?
Contact us to discuss how SynoGuard AI's ethics module meets your EU AI Act, NIST AI RMF, and audit requirements.
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