Intended Use Policy
AgentTrust Edge Gateway intended use policy and scope.
Standard: ISO/IEC 42001:2023 Annex A.8.1 Document owner: Product Lead Review cadence: Annually; before entering a new domain or market Classification: Public (reference in API documentation)
1. Purpose
This document defines the intended use, supported configurations, and prohibited uses of the AgentTrust Edge Gateway AI governance system. Operators deploying AgentTrust accept responsibility for using it within the boundaries described here.
2. What AgentTrust Is
AgentTrust Edge Gateway is a runtime AI governance and quality assurance system. It evaluates the outputs of AI agents before those outputs are returned to users or downstream systems. It applies:
- 6 deterministic validation checks (schema, tool trust, policy, consistency, golden test, grounding)
- 7-signal explainable confidence scoring
- 4-factor risk scoring
- Policy-as-code rules (operator-configurable)
- Optional LLM judge evaluation (asynchronous, slow-path)
- Multi-agent trust chain enforcement
AgentTrust produces one of five governance decisions: approve, retry, request_evidence, escalate, or block.
3. Supported Use Cases
| Use Domain | Supported | Notes |
|---|---|---|
| Software development (code gen, review, test gen) | Yes | Default policy packs available |
| Customer service chatbots | Yes | Recommend PII policy pack |
| Research summarisation | Yes | Grounding check particularly relevant |
| Document analysis and extraction | Yes | — |
| Financial data analysis (non-regulated) | Yes | Requires operator-configured policy pack |
| Multi-agent orchestration | Yes | Trust chain enforcement required |
| General-purpose agent governance | Yes | — |
4. Supported Agent Frameworks
LangGraph · CrewAI · OpenAI Agents · Claude Agents · MCP (Model Context Protocol) · Custom HTTP agents · REST API calls
5. Deployment Environments
| Environment | Supported | Notes |
|---|---|---|
| Local development | Yes | Auth may be disabled; not for production data |
| Docker Compose (single-node) | Yes | Suitable for staging and small-scale production |
| Kubernetes (edge cluster) | Yes | Recommended for production |
| Cloud-hosted SaaS | Roadmap | — |
6. Performance Expectations
| Metric | Target | Notes |
|---|---|---|
| Fast-path latency | P99 < 50ms | Deterministic checks only (no LLM) |
| Full-pipeline latency | P99 < 100ms | Including risk + decision engines |
| LLM judge latency | P50 < 5 min | Asynchronous background job |
| Availability | 99.5% uptime | Planned maintenance excluded |
| Audit ledger integrity | 100% | Hash chain verifiable at any time |
7. Operator Responsibilities
Operators deploying AgentTrust accept the following responsibilities:
- Configuration accuracy: policy pack rules, risk thresholds, and confidence weights must reflect the operator's specific use case and risk appetite.
- Human oversight: decisions with outcome
escalateorrequest_evidencemust route to qualified human reviewers. AgentTrust does not replace human judgement. - Data minimisation: operators must redact PII from agent inputs and outputs before submission where possible.
- Incident reporting: operators must report adverse impacts via
POST /v1/feedback/adverse-impact. - Secret management:
AGENTRUST_JWT_SECRETand database credentials must be rotated regularly and stored securely. - Domain-specific policy: operators in regulated domains (healthcare, finance, legal) must supplement default policy packs with domain-specific rules and complete an AIIA (see
docs/AIIA_TEMPLATE.md). - Acceptance testing: operators must validate AgentTrust with their specific agent types before production deployment.
8. Prohibited Uses
AgentTrust Edge Gateway must NOT be used as:
- The sole decision-maker for high-stakes irreversible actions in healthcare, criminal justice, financial credit, or insurance — human oversight is mandatory in these domains.
- A surveillance system to monitor individuals without legal basis and explicit consent.
- A profiling system to make or influence decisions about individual employment, education, or legal rights without appropriate human review and legal authorisation.
- A content moderation system for regulated speech without additional legal review (freedom of expression implications).
- A system processing special-category GDPR data (health, biometric, racial origin, etc.) without explicit legal basis, a completed Data Protection Impact Assessment (DPIA), and DPO sign-off.
9. High-Risk Domain Addendum
Operators deploying in the following domains must complete an additional domain-specific AIIA and obtain written approval from the AI Governance Lead before production deployment:
- Medical diagnosis support or clinical decision support
- Financial trading, payment authorisation, or credit decisions
- Legal document generation with binding effect
- Child safety, safeguarding, or child welfare systems
- Criminal justice or law enforcement
- Critical infrastructure (energy, water, transport)
10. Disclaimer
AgentTrust Edge Gateway improves the reliability and safety of AI agent outputs but does not guarantee the absence of errors, bias, or harmful outputs. Operators remain responsible for the conduct of the AI agents they deploy and for compliance with applicable laws and regulations.
11. Document History
| Version | Date | Author | Changes |
|---|---|---|---|
| 1.0 | [DATE] | [NAME] | Initial version |