Frequently Asked Security Questions.

If your AI makes decisions that impact human lives, finances, or legal standing, regulation is not optional—it's a critical risk management function. Unregulated AI is a significant liability, leading to lawsuits, massive fines, and brand damage. We make regulation a competitive advantage.

Start by taking our free **Risk Assessment**. Then, book a demo with one of our analysts to discuss the findings and tailor an AI Safety Audit plan based on your current exposure and regulatory requirements.

It's our gold-standard compliance framework covering **Privacy, Oversight, Law, Ethics, and Transparency (POLET)**. Passing this check certifies your AI meets the highest standards for responsible deployment.

We specialize in highly regulated sectors, including Finance, Healthcare (HIPAA), and European-based businesses (GDPR, AI Act), where the cost of non-compliance is highest.

Our Continuous Regulation plans start at **$5,000/month** and scale up based on the complexity, volume, and criticality of the AI systems under our 24/7 oversight. This cost is minimal compared to a single regulatory fine or breach.

An **Audit** is a one-time assessment (like an annual check-up). **Continuous Regulation** is ongoing, real-time monitoring and incident response (like an intensive care unit) to prevent future issues and adapt to new threats/laws.

Yes. Our Emergency Response team offers rapid deployment with a 4-hour window for containment, forensic analysis, and regulatory liaison. Our **Continuous Regulation** clients receive priority response.

Human Regulation is the active process of placing expert human analysts, ethical oversight, and legal counsel in the decision-making loop of an AI system. It ensures that critical decisions are auditable, fair, and accountable—a necessity for high-stakes deployment.

Prompt injection is a vulnerability where an attacker manipulates an LLM (Large Language Model) by injecting malicious or clever input to make it ignore its safety instructions or divulge confidential information. It's a critical security risk we actively monitor and defend against.

We use a multi-stage process: 1) Auditing and debiasing training data; 2) Using bias-detection toolkits during model training; 3) Continuous, real-world monitoring for demographic parity and fairness drift; 4) Human review of high-risk decisions.