Security infrastructure for autonomous AI.

AI agents are moving beyond text generation. They can execute tools, call APIs, access files, use credentials, interact with networks, and make decisions with real consequences. Traditional application monitoring does not provide enough context to explain that behavior after an incident.

Tracendra is being built to make autonomous systems observable, containable, and investigable. It connects agent actions, tool use, model interactions, and security findings into a coherent timeline while preserving the evidence teams need to understand what happened.

Our approach keeps locally deployed forensic data distinct from Tracendra-operated account, licensing, and billing services. Customer prompts, tool calls, model outputs, incidents, and forensic evidence are not described as automatically uploaded to Tracendra because that is not how the audited product is designed.

Tracendra is currently in private beta. We are working directly with prospective users to validate deployments, integration needs, and the security workflows that matter most before publishing broad commercial availability.