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Zerotrusted.ai
Overview :
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.
Target Users :
Any application scenario involving sensitive data or requiring data privacy and model reliability, such as enterprise internal systems, e-commerce, financial services, and healthcare.
Use Cases
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.
Features
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
Uses machine learning for dynamic adaptive encryption
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