Aethryx Platform
Runtime AI governance infrastructure for regulated enterprises.
Aethryx helps teams govern LLMs, RAG systems, and autonomous agents while they are running — with controls, approvals, risk signals, traceability, and audit-ready evidence.
01 / Runtime AI Governance
Govern production AI while it is running.
Move beyond static policy documents. Aethryx monitors deployed AI workflows in real time and connects governance requirements to live controls, approvals, incident signals, and audit trails.
What it enables
- Runtime monitoring for LLMs, RAG, copilots, and agents
- Risk signals based on user impact, autonomy, data sensitivity, and decision criticality
- Policy outcomes and exception status visible to governance teams
- Control evidence captured as the system operates
02 / Agentic AI Controls
Control what agents can do, when they need approval, and when they must stop.
Aethryx defines and enforces boundaries for autonomous AI workflows, including tool permissions, approval gates, escalation triggers, and human-in-the-loop decision checkpoints.
Control areas
- Tool-call permissions and action boundaries
- Human approval thresholds for high-risk actions
- Loop detection, budget controls, and kill-switch logic
- Agent-to-agent traceability and intervention records
03 / AI Inventory & Risk Tiering
Discover, classify, and govern your AI estate.
Aethryx creates a structured AI inventory and classifies each use case by business impact, customer exposure, autonomy, data sensitivity, regulatory scope, and operational risk.
Governance outputs
- AI system registry and ownership mapping
- Risk tiering aligned to governance review cadence
- Control requirements by risk level
- Attestation inputs for audit and regulatory readiness
04 / Policy-to-Control Engine
Translate governance policies into executable controls.
Aethryx maps internal policy, MAS FEAT, AI Verify, NIST AI RMF, ISO 42001, EU AI Act, and model risk expectations into practical runtime control workflows.
Control workflow
- Policy-to-control mapping
- Automated checks and review gates
- Exception handling and remediation tasks
- Framework-mapped evidence for assurance reviews
05 / Audit Evidence & Decision Traceability
Reconstruct what happened, why, and who approved it.
Aethryx captures traces, logs, approvals, exceptions, tool calls, policy decisions, and reviewer actions so governance teams can produce audit-ready evidence without manual reconstruction.
Evidence captured
- Decision traces and model interaction records
- Human approval and escalation history
- Policy check outcomes and exception logs
- Executive evidence packs and board-ready summaries
Design Partner Pilot
Operationalize runtime AI governance in six weeks.
Map your AI estate, instrument priority workflows, activate runtime controls, and generate evidence aligned to enterprise governance expectations.
Book a readiness call →