MAS FEAT → Aethryx Controls
Convert fairness, ethics, accountability, and transparency principles into runtime risk rules, approval workflows, explainability records, and evidence packs.
Framework Mapping Hub
Translating AI regulation into executable runtime controls.
Aethryx helps regulated enterprises map governance frameworks into live controls, risk tiering, human approvals, decision traces, exception logs, and audit-ready evidence.
Book a Framework Mapping CallEU AI Act → Aethryx Controls
Map high-risk AI obligations into AI inventory, risk classification, control enforcement, human oversight, logs, and post-deployment monitoring.
NIST AI RMF → Aethryx Controls
Operationalize Govern, Map, Measure, and Manage with runtime telemetry, risk signals, policy checks, and continuous evidence generation.
ISO/IEC 42001 → Aethryx Controls
Support AI management system requirements with control ownership, policy execution, monitoring, exceptions, and audit trails.
AI Verify → Aethryx Controls
Align responsible AI testing and governance expectations with production evidence, control logs, assessment outputs, and traceable decisions.
Model Risk Management → Aethryx Controls
Extend model governance into GenAI and agentic systems with lifecycle evidence, monitoring, validation hooks, and escalation workflows.
Framework Mapping Detail
From governance frameworks to runtime AI controls.
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MAS FEAT
Fairness, ethics, accountability, and transparency as live controls.
Aethryx maps FEAT expectations into runtime decision controls for AI systems used in financial services, including risk tiering, approval flows, explainability records, policy exceptions, and auditable evidence.
Runtime controls
Bias checks, customer-impact flags, human approval gates, prompt and output review, and explainability capture.
Evidence generated
FEAT control mapping, decision trace, risk rating, reviewer actions, exception logs, and model-use attestation.
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EU AI Act
High-risk AI obligations mapped to control workflows.
Aethryx supports high-risk AI readiness by turning obligations into operational workflows across system inventory, risk classification, human oversight, monitoring, logging, testing, and governance documentation.
Runtime controls
High-risk flags, prohibited-use checks, human oversight points, output monitoring, escalation paths, and versioned control policies.
Evidence generated
Risk classification, technical documentation inputs, incident record, oversight evidence, model behavior trace, and audit logs.
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NIST AI RMF
Govern, map, measure, and manage evidence continuously.
Aethryx aligns runtime governance activities to the NIST AI RMF lifecycle by connecting AI inventory, contextual risk mapping, measurement signals, control actions, and remediation tracking.
Runtime controls
Control library, risk scoring, telemetry, policy checks, monitoring thresholds, kill switches, and remediation tasks.
Evidence generated
Risk register, control results, model behavior metrics, failure patterns, trace logs, and executive governance summaries.
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ISO/IEC 42001
AI management system controls for enterprise operating discipline.
Aethryx helps enterprises operationalize AI management system practices by connecting policies, roles, risk controls, monitoring routines, change governance, and improvement cycles.
Runtime controls
Policy ownership, control assignments, change records, approval workflows, periodic reviews, and continuous improvement signals.
Evidence generated
Control register, governance roles, operating procedures, audit trail, review notes, and management-system evidence pack.
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AI Verify
Testing and governance assessment evidence for trustworthy AI.
Aethryx complements AI Verify-style assessment by producing practical runtime evidence for testing, governance review, risk scoring, documentation, and assurance conversations with internal stakeholders.
Runtime controls
Test coverage mapping, explainability checks, data-use controls, response validation, safety checks, and issue triage.
Evidence generated
Assessment summary, test results, governance checklist, control gaps, remediation backlog, and readiness scorecard.
Make governance operational, not theoretical.
Use Aethryx to turn framework requirements into controls that work inside real AI systems.
View AI Governance Resources