ZeroTrusted.ai

Protect your identity and data from privacy leaks by large language models.

CommonProductProductivityAI SecurityLarge Language Models

ZeroTrusted.ai is a pioneering company specializing in generative AI security. Their LLM Firewall product is designed to protect you from the risk of data exposure and misuse by unethical language model providers or malicious actors due to potentially sensitive information in language model training datasets. The product offers anonymization features to protect prompt privacy, ensures data security and privacy through ztPolicyServer and ztDataPrivacy, optimizes prompts and verifies results to improve accuracy and prevent model hallucination, and supports integrations with various tools like LangChain and Zapier. The product comes in various pricing plans, including free, standard, business, and enterprise editions, each with different functionalities and service levels. ZeroTrusted.ai is committed to simplifying security compliance by utilizing cloud-agnostic Zero Trust solutions, dynamic adaptive encryption, and other technologies to maximize application and data protection.

Anonymizes prompts to protect privacy
Ensures data security and privacy through ztPolicyServer and ztDataPrivacy
Optimizes prompts and verifies results to improve accuracy
Prevents model hallucination (fabrication)
Integrates with tools like LangChain and Zapier
Provides API access and user interface
Detects data pollution
injection attacks
and ethical bias
Offers end-to-end encryption (E2EE) and cloud-agnostic solutions

Any application scenario involving sensitive data or requiring data privacy and model reliability
such as enterprise internal systems
e-commerce
financial services
and healthcare.

A financial institution can use ZeroTrusted.ai's LLM Firewall to protect customer personal and financial data when using large language models for customer service.
A healthcare institution can use the product to protect patient privacy when utilizing large language models to analyze patient data.
A retail company can use the product to protect customer data when using large language models for marketing and personalized recommendations.

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