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GuardAI
For Compliance & Security

Operationalize AI guardrails for regulated deployments

A configurable policy-enforcement layer with logging, enforcement, and review workflows for governed AI systems.

“Emerging technology like chatbots and social media can inspire, educate, and connect — but without real guardrails, technology can also exploit, mislead, and endanger our kids.”
Governor Gavin Newsom
On signing California SB 243

AI regulation is here — and it's fragmented.

EU AI Act

Enforcing — Expanding August 2026

Risk-based regulation requiring transparency, logging, human oversight, and robustness testing. Prohibited-practice penalties (€35M or 7% revenue) enforceable since August 2025. High-risk system obligations take effect August 2026.

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.

Policy enforcement capabilities.

Tools that help you build toward regulatory expectations.

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.