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GuardAI
For Compliance & Security

Put your AI policies into practice

Define disclosure and escalation policies, inspect blocked and rewritten responses, and configure decision logging for your review workflow.

Plan for the requirements that apply to your deployment.

EU AI Act

Transparency rules now apply

Article 50 transparency rules took effect on 2 August 2026, with a transition until 2 December 2026 for certain existing content-generation systems. High-risk requirements apply from 2 December 2027 (Annex III) and 2 August 2028 (regulated products).

EU implementation timeline

California

25+ Laws Enacted

SB 243 requires companion chatbot child safety features. SB 942 requires AI content provenance tools from providers with 1M+ users. SB 53 mandates frontier AI risk frameworks and incident reporting.

38+ U.S. States

No Federal Law

Texas, Colorado, California, Illinois, Utah, and dozens more, each with different requirements. 145 AI bills enacted in 2025. A December 2025 executive order seeks to preempt state laws, but no comprehensive federal framework exists.

What regulators are asking for

Safety Guardrails
Rewrite harmful outputs, prevent data leaks
Comprehensive Logging
Track decisions, maintain audit trails
Transparency
Disclose AI use, explain decisions
Human Oversight
Enable review, intervention, reversal
Testing & Validation
Demonstrate robustness, document risks
Risk Management
Identify, assess, mitigate harms
Content Provenance
Track AI-generated content origin (SB 942, EU AI Act)
Incident Reporting
Report safety incidents to regulators (SB 53, EU AI Act)

Policy enforcement capabilities.

Policy-Based Content Controls

Define and enforce content policies per deployment. Configurable rules flag or rewrite outputs outside your boundaries.

Reviewable Decision Logs

Every action logged with timestamps, rule references, and decision context. Exportable trails for reviews and inquiries.

Deployment-Specific Tuning

Configurable sensitivity per deployment. Tune thresholds by risk tolerance, use case, and jurisdiction.

Human Review Workflows

Route flagged interactions to reviewers with full context. Inspect, override, and document decisions.

Benchmark Evidence

Automated red-team benchmarks produce detection rates and coverage reports you can use to demonstrate policy performance.

Deployment contexts.

GuardAI is used across industries where AI output control matters.

Customer Support

Prevent data leaks, rewrite off-policy responses, maintain brand safety.

Healthcare

Prevent PHI/PII disclosure and flag unlicensed medical advice.

Financial Services

Prevent unlicensed financial advice and protect account information.

AI Companions

Enforce age-appropriate content policies and output filtering for companion chatbot deployments.

RAG / Knowledge Base

Prevent document leakage and sensitive data extraction from RAG systems.

Enterprise Internal

Protect against social engineering, prompt injection, and data exfiltration.

Policy enforcement for governed deployments.

GuardAI is a policy-enforcement layer, not a legal determination of compliance. It supports logging, enforcement, and review workflows for regulated use cases.