PolicyGuard provides enterprises full management over how AI coverage is outlined and enforced throughout brokers, fashions, and functions, with explainable, audit-ready selections.
Advantage AI introduced PolicyGuard, a system that permits enterprises to shortly and simply outline, edit, and implement customized AI runtime safety guardrails throughout fashions, brokers, and functions.
Most organizations have “AI acceptable use insurance policies.” When they should implement these insurance policies, nonetheless, the tooling is static, fragmented, and generic: constructed for no business particularly and no group particularly. Insurance policies differ throughout groups and are exhausting to translate into adaptive, enforceable controls.
On the identical time, AI conduct has outpaced text-level pointers. It now spans brokers, API calls, and multi-step motion agent workflows, the place the danger is not only what AI says, however what the mannequin and brokers do. With out AI-native coverage enforcement, enterprises carry an uneven AI threat posture, tight in some locations, absent in others, and nowhere robust sufficient to comprise an incident or fulfill an audit.
PolicyGuard places an finish to AI insurance policies that exist on paper however can’t be enforced in apply, giving enterprises a single enforcement layer throughout fashions, brokers, and functions.
- Outline your personal insurance policies in pure language with out counting on engineering groups
- Guarantee regulatory compliance with 30+ stackable safety frameworks like GDPR, EU AI Act, and FINRA
- Extract insurance policies from present coverage paperwork and make them enforceable
- Routinely refine insurance policies over time utilizing Coverage Lab to enhance protection and cut back gaps
- Consider content material in its authentic language to protect context
- Apply insurance policies to agent actions and workflows, not simply textual content
- See why selections are made with built-in reasoning and visibility
- Deploy in your surroundings (on-prem, cloud, or SaaS) with out main adjustments
PolicyGuard helps groups maintain insurance policies aligned with how their AI programs truly function, whereas sustaining constant enforcement as issues evolve.
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“Enterprises have already got AI insurance policies. The problem is enforcement,” mentioned Bo Li, CEO and Co-Founding father of Advantage AI. “With a easy PDF add, or a couple of strains of pure language, PolicyGuard defines and enforces AI insurance policies, tailored on your group.”
Core Capabilities of PolicyGuard
Outline and implement AI coverage with out bottlenecks:
- Outline threat classes, behaviors, and enforcement standards in pure language, aligned to your requirements
- Convert present PDFs, web sites, and JSON into enforceable controls in minutes
- Layer regulatory frameworks similar to EU AI Act, GDPR, FINRA, and MLCommons alongside inside insurance policies right into a single, traceable enforcement layer
- Use Coverage Lab to shut gaps and cut back blind spots repeatedly with out retraining
Implement insurance policies in actual time with out sacrificing accuracy or efficiency:
- Consider content material in its authentic language to remove translation blind spots and cut back false positives
- Function with low latency utilizing light-weight infrastructure
- Lengthen insurance policies to agent traces, device calls, and multi-step workflows so coverage follows actions, not simply textual content
Each resolution clear, traceable, and audit-ready:
- Present detailed explanations for each enable or block resolution
- Monitor violations, customers, API keys, and latency by centralized dashboarding
- Keep audit-ready enforcement by default
Deploy with out remodeling your infrastructure:
- Assist on-prem, cloud, and SaaS environments
- Keep low latency and low price with light-weight structure
- Allow quick rollout with out important infrastructure adjustments
By combining coverage definition, enforcement, and steady optimization, PolicyGuard allows enterprises to shortly and simply align AI safety enforcement to their enterprise wants.
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