Topic

Permission Scoping

Permission scoping refers to the practice of limiting user access rights to only the minimum privileges necessary to perform specific job functions, commonly known as the principle of least privilege. In AI governance, this is critical for controlling who can access, modify, or deploy machine learning models and sensitive training data, reducing the risk of unauthorized use or data breaches. Effective permission scoping helps organizations maintain audit trails, enforce compliance requirements, and prevent both malicious misuse and accidental harm from AI systems.

1 item

Corporate PolicyGlobal2026-06-13

Attentive's Agentic AI Framework Sets a Corporate Benchmark for Agent Identity and Audit Trail Controls

Attentive has published a corporate governance framework for agentic AI that mandates unique identity per agent, precise permission scoping, and comprehensive audit trails capturing agent reasoning and decision alternatives. The framework, released in June 2026, establishes internal standards intended to prevent shared credential risks and ensure decision-making logic is logged for compliance review. It represents a detailed, operationally specific example of enterprise-level agentic AI governance in practice.

agentic AI agent identity audit trails credential management permission scoping