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Unleash AI On All Your Data. No Compromises

Power AI agents and apps with secure, compliant, and role-aware access to all the enterprise data they need—no more, no less

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Control the Flow of Knowledge

Reasoning-Driven Access Control

Imagine AI that enforces existing access privileges across your enterprise systems—and goes further. Daxa reasons through gaps, overprovisioned roles, and missing controls to keep sensitive data off-limits. With built-in, context-aware enforcement, you get intelligent access control that prevents leaks and adapts to the messy reality of enterprise permissions—purpose-built for AI.

The Data AI Needs

No Data, No ROI. To move beyond POCs, AI needs secure, compliant access to real business data across silos—with visibility and control built in.

Visibility Into All Your AI Data

Your AI shouldn’t be a black box. Daxa gives you real-time visibility into what data AI agents and apps access, generate, and share—along with a data bill of materials for AI, including classification, lineage, and usage context. With full traceability, you can audit activity, detect anomalies, and prove compliance without slowing things down.

Protect from Data Theft Via AI

AI can accelerate productivity—or open new doors for data theft. With natural language access to sensitive systems, insider threats can now exploit AI to exfiltrate data faster and with less trace. Daxa’s Zero Trust architecture enforces strict access boundaries and continuously monitors agent and user behavior. Built-in anomaly detection flags risky patterns early—so you can stop bad actors before they do damage.

Built-In AI Governance

AI governance isn’t just about oversight—it’s about control. As AI agents and apps make real-time decisions and access sensitive data, enterprises need consistent policy enforcement, auditability, and compliance from day one. Daxa embeds governance directly into the AI stack, ensuring usage aligns with regulatory requirements and internal data policies—across teams, tools, and models.

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Why AI Needs Built-In Guardrails?

AI firewalls try to filter model outputs after the fact—without knowing what data went in. Without access controls, lineage, or compliance context, they're stuck guessing what a user shouldn't see. That's not governance—it's gambling. 
Daxa's TwinGuard architecture flips the script: our SafeConnectors extract fine-grained permissions from enterprise systems, and our SafeRetriever enforces them before the LLM sees any data. The result? Only authorized, compliant context reaches the model—giving enterprises the confidence to move from GenAI experiments to real production.

Probabilistic Filtering

No oversharing

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How Can I Get Started?

Whether you're building Al applications or adopting Al for your enterprise, Daxa has you covered

For Al Builders & Developers

Use Pebblo to bring data access control, security, and governance into your Al apps — built-in, not bolt-on.

Explore Pebblo

For Al Adopters & Enterprises

Use Proxima to securely connect your data, models, and workflows— unified Al productivity, without the complexity.

Try Proxima

// Trusted Voices

Smart takes on AI, data
and security

Combining Patient Health data with GenAI models and applications can be fraught with data leakage risks. Daxa offers advanced access control and governance guardrails built-in to their GenAI knowledge retriever to ensure peace of mind.

Proxima takes a disruptive approach by embedding data access control and governance directly within the AI application, eliminating the need for bolt-on security layers. This integrated model is a game-changer for enterprises handling sensitive data, ensuring AI-driven insights remain secure, compliant, and seamlessly accessible.