White Circle
White Circle provides a real-time AI safety and security platform that enforces behavioral policies across user inputs, model outputs, and tool usage. Its model-agnostic architecture uses proprietary self-adjusting classifiers, enabling companies to define, test, and deploy new policies without retraining models. The platform is used by AI-first companies like Lovable to protect millions of daily AI interactions.
- Cybersecurity
- Artificial Intelligence
- Software Only
- AI Agents
Funding
Founders
Founder details are not available yet.
Product
Problem
AI-powered applications face growing risks from malicious user inputs, model hallucinations, and attempts to override system instructions, yet traditional moderation tools are too slow and rigid to keep pace with evolving threats. Companies struggle to enforce safety, security, and compliance policies consistently across millions of sessions without adding noticeable latency or breaking the experience for legitimate users.
Solution
White Circle provides a unified control layer that enforces behavioral policies across the entire AI lifecycle, covering user inputs, model outputs, and tool usage in real time. The platform lets organizations define custom policies, automatically block or rewrite risky behavior, and escalate threats before they reach production systems. It operates independently of underlying model providers, so companies can switch models or vendors without rebuilding their supervision infrastructure. White Circle uses proprietary self-adjusting classifiers, enabling teams to define a new policy, test it against historical traffic using backtesting tools, and push it to production without training dedicated models for every policy. The system is designed for very low latency, making it effectively invisible to normal users while still catching sophisticated multi-step attacks. It also provides operational visibility through a dashboard with real-time metrics, alerts for anomalous patterns, and audit logs for compliance and incident review.
Target Audience
Primary customers are AI-first companies and enterprises running generative AI applications in production, particularly those with large user bases and high-volume conversational interfaces that need real-time safety, security, and compliance controls.
Features
- Real-time policy enforcement across user inputs, model outputs, and tool usage with automatic blocking, rewriting, or escalation of risky behavior
- Model-agnostic architecture that operates independently from underlying AI providers, enabling seamless model switching without rebuilding supervision layers
- Proprietary self-adjusting classifiers that eliminate the need to train dedicated models for each new policy
- Backtesting tools that let teams validate new policies against historical traffic before pushing to production
- Region-adaptive policy application that adjusts rules based on user location or jurisdiction
- User risk scoring that builds persistent profiles to track repeat offenders across sessions
- Custom moderation policies scoped per feature, use case, event type, or user segment
- Audit trail showing what happened, why it happened, and which policies were triggered
- Analytics dashboard for monitoring user sentiment, failure patterns, and common friction points, plus a human review queue for edge cases