Nemotron Models Ideas Portal

Problem Statement

Enterprise AI agent deployments require governance models that mirror corporate policy structures. Currently, implementing consistent base policies across all agents while maintaining role-specific rules requires manual configuration for each agent, creating maintenance overhead and compliance risks.

Proposed Solution

Implement a hierarchical policy framework where:

1. Base Policy Layer: Corporate-wide policies (data privacy, audit logging, rate limiting, security protocols) automatically inherited by ALL agents

2. Role-Specific Layer: Additional policies based on agent role/function that extend (never weaken) base policies

3. Context-Aware Layer: Dynamic policy loading based on runtime context

Core Capabilities Needed

Policy Inheritance & Override

• Child policies can only strengthen parent constraints, never weaken them

• Clear precedence rules for policy conflict resolution

• Support for multiple inheritance (agent with multiple roles)

Compliance & Verification

• Real-time cross-agent compliance verification

• Automated policy conflict detection before deployment

• Audit trails showing policy evaluation chain for each decision

Advanced Governance Features

• Temporary privilege escalation with time-bounds and additional verification

• Policy version control with blue-green deployment support

• Policy simulation/testing framework to prevent deadlocks

• Separation of duties enforcement between agents

Business Value

• Compliance: Ensures regulatory requirements are consistently applied

• Security: Implements principle of least privilege at agent ecosystem level

• Maintainability: Update base policies once, propagate to all agents

• Scalability: Add new specialized agents without recreating governance rules

• Auditability: Complete decision lineage for enterprise requirements

Use Case Example

A financial services company deploys:

• Base policies: GDPR compliance, transaction logging, PII handling

• Trading Agent: Additional market manipulation prevention policies

• Customer Service Agent: Additional communication tone policies

• Audit Agent: Read-only access with extended logging

All inherit base policies automatically, reducing configuration from N×M rules to N+M rules.

Success Metrics

• Reduction in policy configuration time by 70%

• Zero base policy violations across agent ecosystem

• Complete audit trail for compliance reporting

• Support for an ecosystem of specialized agents with consistent governance

This aligns with enterprise needs for "separation of duties" and "principle of least privilege" in production AI systems, making NVIDIA's platform enterprise-ready for regulated industries.