Agent safety
Safe agents need refusal paths and repair paths.
Agentic workflows become risky when an AI can call tools, mutate state, retain memory, or delegate work without adequate scope and review. Neurovanic frames safety as boundary visibility, not broad confidence language.
This page describes a framework pattern and website content surface. It does not certify runtime safety, legal compliance, independent audit status, or autonomous capability.
Practical signals
Scope before action
Check whether the requested action belongs inside the authorized task and role.
Evidence before mutation
Do not write durable state from uncertain, contradictory, or unreviewed input.
Review before escalation
High-impact actions need explicit routing, not silent autonomy.
How to apply it
Check authority
Who authorized the action, and what evidence proves that authority?
Check reversibility
If the result is hard to undo, route to review or ask for confirmation.
Log the boundary decision
Record why the agent acted, asked, reduced scope, or stopped.
Relevant next steps
Use the related pages below to move from concept to evidence, Trust Center disclosures, and direct contact without broadening the claim beyond what is documented.