ZeroTrusted.ai specializes in providing advanced security solutions for Generative AI. Utilizing a zero-trust framework, the platform ensures the privacy and protection of sensitive data, APIs, and applications. With its AI Governance System (AGS), it offers governance and management for LLM (Large Language Model) usage across organizational workforces. Its LLM Firewall is a robust tool designed to prevent data breaches and ensure that sensitive information is properly sanitized before it reaches AI models. ZeroTrusted.ai empowers organizations to interact with AI technologies safely and securely.

AI Redact leverages cutting-edge artificial intelligence to automatically identify and redact sensitive data within PDF documents. This ensures that personal or confidential information is not exposed during sharing or archiving. The tool is user-friendly, saving time and reducing manual errors associated with traditional redaction methods. Its efficient process allows users to maintain compliance with data protection regulations while managing large volumes of documents. From legal to healthcare sectors, AI Redact meets the diverse needs for secure document handling.

Secure Agent Augmentation provides a Python SDK and set of helper modules to wrap AI agent tool calls with security controls. It supports integration with popular LLM frameworks like LangChain and Semantic Kernel, and connects to secret vaults (e.g., HashiCorp Vault, AWS Secrets Manager). Encryption-at-rest and in-transit, role-based access control, and audit trails ensure that agents can augment their reasoning with internal knowledge bases and APIs without exposing sensitive data. Developers define secured tool endpoints, configure authentication policies, and initialize an augmented agent instance to run secure queries against private data sources.