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.

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.

Cape Privacy offers a robust solution for organizations needing to process sensitive data. It provides an encryption-in-use platform that allows users to run predictive machine learning models without ever needing to decrypt their data. This approach ensures the highest levels of data privacy and security, allowing businesses to maximize the use of their data while complying with stringent privacy regulations.