Accelerate ROI from Generative AI

Safely unlock value from company data with application-centric guardrails

Control the Flow of Knowledge

Data Access Control

Your data is powerful—but only when it’s in the right hands. Imagine a world where your AI knows exactly what to share, and more importantly, what to keep under wraps. With built-in data access controls, you can ensure sensitive info stays off-limits to the wrong eyes. Say goodbye to accidental leaks and hello to effortless data control, where existing data access privileges in your company are seamlessly extended to your AI apps.

Data is the DNA of AI

Understanding your data is key to unlocking secure and governed Generative AI

Data Bill Of Materials

Understanding your AI data isn’t just a checkbox—it’s a necessity. With the Data Bill of Materials, you gain full transparency into the data flowing through your AI. Know its attributes, see its classifications, and trace its origins. It’s like having a Data Card for your AI application, giving you complete confidence about the data driving your inference, whether it’s from your vector database, finetuned model, or agentic workflows.
Because when it comes to data in AI, what you don’t know can hurt you.

AI App Security

Shield your AI apps from insider threats, unauthorized data access, and potential data poisoning. Daxa's Zero Trust architecture ensures that access to sensitive data is always secure. With built-in monitoring, tracking, and auditing of AI applications, data, and users, you can rest assured that your company's data confidentiality and integrity remain rock solid - even in the face of insider threats and sophisticated data attacks.

AI Governance

Ensuring your AI operates within privacy and compliance regulations is critical. From preventing bias to managing ethical risks, Daxa’s AI Governance helps your organization stay aligned with today’s standards—while preparing for the regulations of tomorrow.
With Daxa’s comprehensive application-level Data Card and auditability capabilities, organizations can confidently track compliance across all their AI applications

Why Application-Centric Guardrails.

As Gen AI apps transform how companies tap into their data, they’re pulling information from every nook and cranny—structured, unstructured, and scattered across countless sources. And let’s be honest, half the time, those sources aren’t even traditional document systems, making it tricky to track exactly what company data is feeding into each Gen AI app.
To stay ahead of the game, developers need instant visibility into all that data from day one. That’s where application-centric guardrails come in. Imagine giving developers the power to weave data controls directly into their apps—no matter if they’re working with LangChain, LlamaIndex, or their own custom framework. Securing company data? It’s as simple as dropping in a few lines of code.With application-centric guardrails, developers can move fast and push their Gen AI apps to production with total peace of mind, knowing that data access, governance, and security are all built-in from the get-go. It’s about working smarter, not harder—securing your data without slowing down your innovation.

Trusted Voices

Smart takes on AI, data
and security

Company data whether internal or customer data ingested into Gen AI apps is at increasing risk of unauthorized access, harmful leaks, and privacy violations. Pebblo's developer-friendly controls help our teams rapidly build secure-by-default AI apps that protect data with just a few lines of code – and help strengthen our AI defense in depth.

Ryan Tolentino

Head of Security Architecture, SAP

Combining patient health data with Gen AI models and frameworks can be fraught with data leakage risks. Daxa offers advanced visibility and governance solutions to ensure peace of mind

Siva Somayajula

Chief Technology Officer, Alivecor

Every AI application relies on corporate data to ground LLMs in enterprise truth. A key data security challenge for developers is controlling who has access to what. By restoring enterprise data lineage—covering its source, entitlements, and semantics—Daxa introduces the first developer-centric approach to solving data access governance issues in AI apps

Nico Popp

Former Chief Product Officer, Tenable & ForcePoint