ZeroTrusted.ai provides a zero-trust security platform that employs universal encryption and real-time monitoring to protect sensitive data and AI systems from unauthorized access and data leaks. The solution addresses risks associated with data exposure in AI applications, ensuring compliance with privacy regulations like GDPR and HIPAA while maintaining the integrity of organizational knowledge bases.
Funding
Funding not disclosed
Founders
Product
Problem
Large language models (LLMs) and AI applications can inadvertently expose sensitive data during training and inference, creating risks of data leaks, compliance violations, and unauthorized access to proprietary information. Traditional security measures often fail to address the unique vulnerabilities introduced by AI systems, particularly when integrating external knowledge bases via Retrieval Augmented Generation (RAG).
Solution
ZeroTrusted.ai offers an AI Firewall and AI Gateway that employs zero-trust principles, universal encryption, and real-time monitoring to secure AI systems and protect sensitive data. The platform acts as a barrier between internal data and external AI environments, continuously monitoring and sanitizing data exchanges to prevent leaks and unauthorized access. Its AI HealthCheck feature provides continuous real-time monitoring across the entire AI ecosystem, evaluating systems for vulnerabilities in security, reliability, privacy, and ethics. By integrating with existing workflows and offering flexible deployment options, ZeroTrusted.ai enables organizations to leverage AI capabilities without compromising security or compliance.
Target Audience
The primary target audience includes tech startups, cybersecurity firms, and enterprises in healthcare, finance, government, and other sectors that handle sensitive data (PII, PHI, PCI) and require robust security and compliance for their AI applications.
Features
- AI Firewall that sanitizes data exchanges with LLMs and AI agents to prevent data leaks
- AI HealthCheck for continuous real-time monitoring of AI systems, including LLMs, SLMs, AI Agents, AI Protocols, and Vector Databases
- Universal encryption (at rest, in transit, and in motion) and advanced anonymization techniques to protect data from aggregation attacks and spillage
- Real-time data gatekeeper that automatically detects and blocks sensitive content before it leaves the organization
- Integration with LangChain tools, Zapier Zaps, Azure Marketplace, Google Cloud, and AWS
- Secure, STIGed (Security Technical Implementation Guide) version of Llama
- Copyright risk verification and plagiarism detection in AI-generated content
- Dynamic and adaptive platform that uses machine learning to streamline encryption and automate API scans