Protect your Identity & Data with ZeroTrusted.ai's AI Firewall / AI Gateway

Large Language Models (LLMs), AI Agents, AI Protocols (MCP/A2A), and embedded AI learn from vast datasets, which might include your sensitive information. This presents risks of unintentional data exposure and exploitation by unethical LLM providers or malicious actors. ZeroTrusted.ai’s AI Firewall / AI Gateway is designed to protect you from these threats.

Introducing AI HealthCheck

ZeroTrusted.ai’s newest feature, AI HealthCheck, delivers continuous real-time monitoring across your entire AI ecosystem—including LLMs, SLMs, AI Agents, AI Protocols, and Vector Databases. It evaluates every system for vulnerabilities in security, reliability, privacy, and ethics.

AI HealthCheck goes beyond surface-level checks with deep model and agent enumeration, inspecting model architecture, fine-tuning layers, vector interactions, and inference behavior. This advanced analysis identifies adversarial risks, drift, hallucinations, unauthorized training, and bias propagation before they impact performance or compliance.

These insights enable your team to monitor AI system health, respond quickly to emerging threats, and maintain trust and accountability across your AI operations—at scale.

Why Your AI Needs RAG and How ZeroTrusted.ai Keeps It Secure

AI works best when it can access your organization’s knowledge base, but that’s also where the risks come in. Hackers love to target databases, and privacy laws like GDPR and HIPAA demand that sensitive data stay protected at all times. Even if your AI generates useful answers, what happens if it leaks personal or proprietary information? This is where ZeroTrusted.ai steps in to make RAG systems safe, secure, and compliant.

How ZeroTrusted.ai Secures Your RAG System
ZeroTrusted.ai provides next-generation security solutions designed to protect both your data and the AI systems that rely on it. Here’s how we help:

Securing Data Access with Zero Trust
Protecting Sensitive Data from Leaks
Constant Monitoring for Threats
Compliance Made Easy

AI Firewall Integrations

BENEFITS

Encryption and Anonymization

We’ve implemented state-of-the-art encryption at rest, in transit, and in motion (AER/EC), along with advanced anonymization techniques. These measures protect your sessions with internal and third-party LLMs, AI Agents, and embedded AI effectively shielding your data against aggregation attacks and spillage. Further more we protect your most sensitive or regulated data from being trained into LLMs / AI Agents without your permission or knowledge.

Seamless Integration

ZeroTrusted.ai is built for seamless integration across your infrastructure—whether you’re deploying in a private cloud, public cloud, or on a fully air-gapped standalone AI environment. Our containerized architecture supports rapid deployment via secure Kubernetes clusters, giving you full control over isolation, scaling, and compliance alignment.

Operating silently in the background, ZeroTrusted.ai preserves the fidelity of your reports and workflows while securely reintroducing sensitive or redacted data only after AI queries have been evaluated. This ensures your teams can work faster, smarter, and more securely—without ever compromising on privacy, policy enforcement, or regulatory requirements.

Copyright Risk Verification and Plagiarism Detection

Our platform proactively detects potential copyright infringements and plagiarism in AI-generated content, preserving the integrity of your work.

Full AI Stack Security

ZeroTrusted.ai delivers comprehensive, real-time protection across your entire AI stack—securing models, agents, protocols, data, and integrations without slowing your team down.