Virtue AI announced PolicyGuard, a system that enabled enterprises to quickly and easily define, edit, and enforce custom AI runtime protection guardrails across models, agents, and applications.

Most organizations have "AI acceptable use policies." When they need to enforce those policies, however, the tooling is static, fragmented, and generic: built for no industry in particular and no organization specifically. Policies vary across teams and are hard to translate into adaptive, enforceable controls.

At the same time, AI behavior has outpaced text-level guidelines. It now spans agents, API calls, and multi-step action agent workflows, where the risk is not just what AI says, but what the model and agents do. Without AI-native policy enforcement, enterprises carry an uneven AI risk posture, tight in some places, absent in others, and nowhere strong enough to contain an incident or satisfy an audit.

PolicyGuard puts an end to AI policies that exist on paper but can't be enforced in practice, giving enterprises a single enforcement layer across models, agents, and applications.

• Define your own policies in natural language without relying on engineering teams
• Ensure regulatory compliance with 30+ stackable security frameworks like GDPR, EU AI Act, and FINRA
• Extract policies from existing policy documents and make them enforceable
• Automatically refine policies over time using Policy Lab to improve coverage and reduce gaps
• Evaluate content in its original language to preserve context
• Apply policies to agent actions and workflows, not just text
• See why decisions are made with built-in reasoning and visibility
• Deploy in your environment (on-prem, cloud, or SaaS) without major changes

PolicyGuard helps teams keep policies aligned with how their AI systems actually operate, while maintaining consistent enforcement as things evolve.

"Enterprises already have AI policies. The challenge is enforcement," said Bo Li, CEO and Co-Founder of Virtue AI. "With a simple PDF upload, or a few lines of natural language, PolicyGuard defines and enforces AI policies, tailor-made for your organization."

Core Capabilities of PolicyGuard

Define and enforce AI policy without bottlenecks:

• Define risk categories, behaviors, and enforcement criteria in natural language, aligned to your standards
• Convert existing PDFs, websites, and JSON into enforceable controls in minutes
• Layer regulatory frameworks such as EU AI Act, GDPR, FINRA, and MLCommons alongside internal policies into a single, traceable enforcement layer
• Use Policy Lab to close gaps and reduce blind spots continuously without retraining

Enforce policies in real time without sacrificing accuracy or performance:

• Evaluate content in its original language to eliminate translation blind spots and reduce false positives
• Operate with low latency using lightweight infrastructure
• Extend policies to agent traces, tool calls, and multi-step workflows so policy follows actions, not just text

Every decision clear, traceable, and audit-ready:

• Provide detailed explanations for every allow or block decision
• Monitor violations, users, API keys, and latency through centralized dashboarding
• Maintain audit-ready enforcement by default

Deploy without reworking your infrastructure:

• Support on-prem, cloud, and SaaS environments
• Maintain low latency and low cost with lightweight architecture
• Enable fast rollout without significant infrastructure changes

By combining policy definition, enforcement, and continuous optimization, PolicyGuard enables enterprises to quickly and easily align AI security enforcement to their enterprise needs.