Daxa is a data-first platform for Gen AI governance and security, designed to help organizations build and deploy generative AI applications with data transparency, compliance, and security controls. The platform provides continuous discovery and tracking of Gen AI components — including LLMs, frameworks, agents, datastores, and endpoints — across multi-cloud environments. It maps linkages between these components to trace the lineage of data ingested into models. Daxa identifies confidential information within Gen AI prompts, responses, and ingested data using predefined topic categories and custom classifications. It supports detection of PII, PCI, and PHI data, as well as custom topics such as medical advice, product roadmaps, and intellectual property. Policy guardrails are enforced on data flowing through prompts, responses, and training data. Alerts are generated when company confidential information is detected or when Gen AI regulations (such as the EU AI Act) are violated. Alerts can be routed to specific departments, entities, or applications. The platform supports automated compliance checks to accelerate time-to-production for developers and integrates with Slack and Jira to streamline remediation workflows. Its privacy-first architecture ensures that company data remains within the organization's own cloud environment, without external data transfer or side-scanning. Daxa also supports deployment of RAG (Retrieval Augmented Generation) frameworks and fine-tuned LLMs, and includes identity and semantic policy guardrails on retrieved data. It is recognized in the 2025 Gartner Market Guide for AI Trust, Risk and Security Management.