Show HN: Venya lets AI agents use secrets without seeing them (github.com)

Venya has announced a groundbreaking platform that allows AI agents to execute commands on remote infrastructure without ever exposing stored credentials. This innovative approach uses a zero-knowledge injection model, meaning that while the AI agent can initiate commands, it cannot see or handle plaintext secret values throughout the process. Instead, credentials are securely injected into a sandboxed environment after being wrapped in cryptographic markers, and the output is filtered to prevent any accidental leaks. Human authorization is required for each session via a physical security key, ensuring that AI agents operate under stringent security conditions. This development is significant for the AI/ML community, as it addresses a critical security gap in previous methods that either exposed credentials or hindered AI's ability to manage infrastructure effectively. Traditional secrets management solutions have vulnerabilities that Venya effectively mitigates. By implementing features such as mutual TLS for communication, a deny-by-default networking model, and meticulous logging of actions, Venya enhances security while enabling organizations to leverage AI's capabilities without compromising sensitive information. This positions Venya as a pivotal tool for infrastructure teams looking to adopt AI securely and efficiently, particularly within regulated environments.